Stefano Soatto

551 papers A* 151A 8B 6Misc 11Journal 261Unranked 108

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Agents as Universal Task Solvers. Entropy Alessandro Achille, Stefano Soatto
2026	J	`jnl`	Learning When to Attend: Conditional Memory Access for Long-Context LLMs. CoRR Sakshi Choudhary, Aditya Chattopadhyay, Luca Zancato, Elvis Nunez, Matthew Trager, Wei Xia, Stefano Soatto
2026	J	`jnl`	Reinforcement-aware Knowledge Distillation for LLM Reasoning. CoRR Zhaoyang Zhang, Shuli Jiang, Yantao Shen, Yuting Zhang, Dhananjay Ram, Shuo Yang, Zhuowen Tu, Wei Xia, Stefano Soatto
2026	J	`jnl`	Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes. CoRR Jing Tan, Zhaoyang Zhang, Yantao Shen, Jiarui Cai, Shuo Yang, Jiajun Wu, Wei Xia, Zhuowen Tu, Stefano Soatto
2025	J	`jnl`	AI Agents as Universal Task Solvers. CoRR Alessandro Achille, Stefano Soatto
2025	—	`conf`	Boiling Frogs: Generative Models, Synthetic Data, and the Opinions of their Users. CDC Matteo Marchi, João Pedro Silvestre, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2025	J	`jnl`	Descriminative-Generative Custom Tokens for Vision-Language Models. CoRR Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto
2025	—	`conf`	Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. NeuS Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto
2025	J	`jnl`	Experience-Guided Adaptation of Inference-Time Reasoning Strategies. CoRR Adam Stein, Matthew Trager, Benjamin Bowman, Michael Kleinman, Aditya Chattopadhyay, Wei Xia, Stefano Soatto
2025	J	`jnl`	Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression. CoRR Liangzu Peng, Aditya Chattopadhyay, Luca Zancato, Elvis Nunez, Wei Xia, Stefano Soatto
2025	J	`jnl`	LATTS: Locally Adaptive Test-Time Scaling. CoRR Theo Uscidda, Matthew Trager, Michael Kleinman, Aditya Chattopadhyay, Wei Xia, Stefano Soatto
2025	J	`jnl`	Learning to Focus: Focal Attention for Selective and Scalable Transformers. CoRR Dhananjay Ram, Wei Xia, Stefano Soatto
2025	J	`jnl`	MURPHY: Multi-Turn GRPO for Self Correcting Code Generation. CoRR Chanakya Ekbote, Vijay Lingam, Behrooz Omidvar-Tehrani, Jun Huan, Sujay Sanghavi, Anoop Deoras, Stefano Soatto
2025	J	`jnl`	Maximally-Informative Retrieval for State Space Model Generation. CoRR Evan Becker, Benjamin Bowman, Matthew Trager, Tian Yu Liu, Luca Zancato, Wei Xia, Stefano Soatto
2025	—	`conf`	Observability of Latent States in Generative AI Models. NeuS Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2025	A*	`conf`	PICASO: Permutation-Invariant Context Composition with State Space Models. ICLR Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto
2025	J	`jnl`	PICASO: Permutation-Invariant Context Composition with State Space Models. CoRR Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto
2025	J	`jnl`	Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning. CoRR Renos Zabounidis, Aditya Golatkar, Michael Kleinman, Alessandro Achille, Wei Xia, Stefano Soatto
2025	A*	`conf`	Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions. ICRA Albert Zhao, Stefano Soatto
2025	J	`jnl`	Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions. CoRR Albert Zhao, Stefano Soatto
2025	J	`jnl`	STree: Speculative Tree Decoding for Hybrid State-Space Models. CoRR Yangchao Wu, Zongyue Qin, Alex Wong, Stefano Soatto
2025	A*	`conf`	Scaling up Image Segmentation across Data and Tasks. CVPR Pei Wang, Zhaowei Cai, Hao Yang, Ashwin Swaminathan, R. Manmatha, Stefano Soatto
2025	J	`jnl`	Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles. CoRR Dong Lao, Yuxiang Zhang, Haniyeh Ehsani Oskouie, Yangchao Wu, Alex Wong, Stefano Soatto
2025	J	`jnl`	e1: Learning Adaptive Control of Reasoning Effort. CoRR Michael Kleinman, Matthew Trager, Alessandro Achille, Wei Xia, Stefano Soatto
2024	J	`jnl`	A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D. CoRR Xiaohan Fei, Chethan Parameshwara, Jiawei Mo, Xiaolong Li, Ashwin Swaminathan, CJ Taylor, Paolo Favaro, Stefano Soatto
2024	—	`conf`	AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation. ECCV (64) Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2024	A*	`conf`	B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. NeurIPS Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
2024	J	`jnl`	B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
2024	A*	`conf`	CPR: Retrieval Augmented Generation for Copyright Protection. CVPR Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto
2024	J	`jnl`	CPR: Retrieval Augmented Generation for Copyright Protection. CoRR Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto
2024	J	`jnl`	Compositional Structures in Neural Embedding and Interaction Decompositions. CoRR Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2024	J	`jnl`	Conjuring Semantic Similarity. CoRR Tian Yu Liu, Stefano Soatto
2024	A*	`conf`	Critical Learning Periods Emerge Even in Deep Linear Networks. ICLR Michael Kleinman, Alessandro Achille, Stefano Soatto
2024	J	`jnl`	Cycles of Thought: Measuring LLM Confidence through Stable Explanations. CoRR Evan Becker, Stefano Soatto
2024	A*	`conf`	Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation. CVPR Dong Lao, Congli Wang, Alex Wong, Stefano Soatto
2024	J	`jnl`	Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation. CoRR Dong Lao, Congli Wang, Alex Wong, Stefano Soatto
2024	—	`conf`	Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. ECCV (63) Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024	J	`jnl`	Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024	A*	`conf`	DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto
2024	J	`jnl`	DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto
2024	J	`jnl`	Efficient Scaling of Diffusion Transformers for Text-to-Image Generation. CoRR Hao Li, Shamit Lal, Zhiheng Li, Yusheng Xie, Ying Wang, Yang Zou, Orchid Majumder, R. Manmatha, Zhuowen Tu, Stefano Ermon, Stefano Soatto, Ashwin Swaminathan
2024	J	`jnl`	Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent Training. IEEE Trans. Pattern Anal. Mach. Intell. Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto
2024	A*	`conf`	Enhancing Vision-Language Pre-Training with Rich Supervisions. CVPR Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto
2024	J	`jnl`	Enhancing Vision-Language Pre-training with Rich Supervisions. CoRR Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto
2024	J	`jnl`	Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. CoRR Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto
2024	J	`jnl`	Fast Sparse View Guided NeRF Update for Object Reconfigurations. CoRR Ziqi Lu, Jianbo Ye, Xiaohan Fei, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, Stefano Soatto
2024	A*	`conf`	Fewer Truncations Improve Language Modeling. ICML Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto
2024	J	`jnl`	Fewer Truncations Improve Language Modeling. CoRR Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto
2024	J	`jnl`	Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. CoRR Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, Stefano Soatto
2024	—	`conf`	Heat Death of Generative Models in Closed-Loop Learning. CDC Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2024	J	`jnl`	Heat Death of Generative Models in Closed-Loop Learning. CoRR Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2024	A*	`conf`	Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CVPR Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
2024	J	`jnl`	Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CoRR Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
2024	A*	`conf`	Meaning Representations from Trajectories in Autoregressive Models. ICLR Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2024	J	`jnl`	Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. CoRR Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2024	J	`jnl`	Mixed-Query Transformer: A Unified Image Segmentation Architecture. CoRR Pei Wang, Zhaowei Cai, Hao Yang, Ashwin Swaminathan, R. Manmatha, Stefano Soatto
2024	A*	`conf`	Multi-Modal Hallucination Control by Visual Information Grounding. CVPR Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024	J	`jnl`	Multi-Modal Hallucination Control by Visual Information Grounding. CoRR Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024	J	`jnl`	NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality. CoRR Chaofan Tao, Gukyeong Kwon, Varad Gunjal, Hao Yang, Zhaowei Cai, Yonatan Dukler, Ashwin Swaminathan, R. Manmatha, Colin J. Taylor, Stefano Soatto
2024	J	`jnl`	NeRF-Insert: 3D Local Editing with Multimodal Control Signals. CoRR Benet Oriol Sabat, Alessandro Achille, Matthew Trager, Stefano Soatto
2024	A*	`conf`	Non-autoregressive Sequence-to-Sequence Vision-Language Models. CVPR Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto
2024	J	`jnl`	Non-autoregressive Sequence-to-Sequence Vision-Language Models. CoRR Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto
2024	A*	`conf`	On the Scalability of Diffusion-based Text-to-Image Generation. CVPR Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto
2024	J	`jnl`	On the Scalability of Diffusion-based Text-to-Image Generation. CoRR Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto
2024	—	`conf`	On the Viability of Monocular Depth Pre-training for Semantic Segmentation. ECCV (37) Dong Lao, Fengyu Yang, Daniel Wang, Hyoungseob Park, Samuel Lu, Alex Wong, Stefano Soatto
2024	A*	`conf`	RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. NeurIPS Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
2024	J	`jnl`	RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. CoRR Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
2024	—	`conf`	Snakes and Ladders: Accelerating SSM Inference with Speculative Decoding. ENLSP Yangchao Wu, Yonatan Dukler, Matthew Trager, Alessandro Achille, Wei Xia, Stefano Soatto
2024	A*	`conf`	Sub-token ViT Embedding via Stochastic Resonance Transformers. ICML Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto
2024	A*	`conf`	THRONE: An Object-Based Hallucination Benchmark for the Free-Form Generations of Large Vision-Language Models. CVPR Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto
2024	J	`jnl`	THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models. CoRR Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto
2024	A*	`conf`	Tangent Transformers for Composition, Privacy and Removal. ICLR Tian Yu Liu, Aditya Golatkar, Stefano Soatto
2024	—	`conf`	The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation. ENLSP Lawrence Stewart, Matthew Trager, Sujan K. Gonugondla, Stefano Soatto
2024	J	`jnl`	The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation. CoRR Lawrence Stewart, Matthew Trager, Sujan Kumar Gonugondla, Stefano Soatto
2024	A*	`conf`	WorDepth: Variational Language Prior for Monocular Depth Estimation. CVPR Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2024	J	`jnl`	WorDepth: Variational Language Prior for Monocular Depth Estimation. CoRR Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong
2023	A*	`conf`	A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	AI Model Disgorgement: Methods and Choices. CoRR Alessandro Achille, Michael Kearns, Carson Klingenberg, Stefano Soatto
2023	J	`jnl`	AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. CoRR Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2023	J	`jnl`	Critical Learning Periods Emerge Even in Deep Linear Networks. CoRR Michael Kleinman, Alessandro Achille, Stefano Soatto
2023	A*	`conf`	Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR Michael Kleinman, Alessandro Achille, Stefano Soatto
2023	A*	`conf`	Depth Estimation from Camera Image and mmWave Radar Point Cloud. CVPR Akash Deep Singh, Yunhao Ba, Ankur Sarker, Howard Zhang, Achuta Kadambi, Stefano Soatto, Mani B. Srivastava, Alex Wong
2023	J	`jnl`	Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots. CoRR Dong Lao, Zhengyang Hu, Francesco Locatello, Yanchao Yang, Stefano Soatto
2023	J	`jnl`	Feature Tracks are not Zero-Mean Gaussian. CoRR Stephanie Tsuei, Wenjie Mo, Stefano Soatto
2023	A*	`conf`	Gacs-Korner Common Information Variational Autoencoder. NeurIPS Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2023	A	`conf`	Graph Spectral Embedding using the Geodesic Betweenness Centrality. AISTATS Shay Deutsch, Stefano Soatto
2023	A*	`conf`	Guided Recommendation for Model Fine-Tuning. CVPR Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto
2023	A	`conf`	Harnessing Unrecognizable Faces for Improving Face Recognition. WACV Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto
2023	J	`jnl`	Incorporating physics into data-driven computer vision. Nat. Mac. Intell. Achuta Kadambi, Celso De Melo, Cho-Jui Hsieh, Mani B. Srivastava, Stefano Soatto
2023	J	`jnl`	Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
2023	A*	`conf`	Leveraging sparse and shared feature activations for disentangled representation learning. NeurIPS Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023	J	`jnl`	Leveraging sparse and shared feature activations for disentangled representation learning. CoRR Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023	A*	`conf`	Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto
2023	J	`jnl`	Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
2023	A*	`conf`	Masked Vision and Language Modeling for Multi-modal Representation Learning. ICLR Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
2023	J	`jnl`	Meaning Representations from Trajectories in Autoregressive Models. CoRR Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2023	J	`jnl`	Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. CoRR Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto
2023	J	`jnl`	Prompt Algebra for Task Composition. CoRR Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto
2023	J	`jnl`	Quantifying VIO Uncertainty. CoRR Stephanie Tsuei, Stefano Soatto
2023	A*	`conf`	SAFE: Machine Unlearning With Shard Graphs. ICCV Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	SAFE: Machine Unlearning With Shard Graphs. CoRR Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	Sub-token ViT Embedding via Stochastic Resonance Transformers. CoRR Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto
2023	J	`jnl`	Taming AI Bots: Controllability of Neural States in Large Language Models. CoRR Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu
2023	A*	`conf`	Tangent Model Composition for Ensembling and Continual Fine-tuning. ICCV Tian Yu Liu, Stefano Soatto
2023	J	`jnl`	Tangent Model Composition for Ensembling and Continual Fine-tuning. CoRR Tian Yu Liu, Stefano Soatto
2023	J	`jnl`	Tangent Transformers for Composition, Privacy and Removal. CoRR Tian Yu Liu, Aditya Golatkar, Stefano Soatto
2023	J	`jnl`	Towards Visual Foundational Models of Physical Scenes. CoRR Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto
2023	A*	`conf`	Train/Test-Time Adaptation with Retrieval. CVPR Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
2023	J	`jnl`	Train/Test-Time Adaptation with Retrieval. CoRR Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
2023	J	`jnl`	Training Data Protection with Compositional Diffusion Models. CoRR Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2023	A*	`conf`	Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
2023	A*	`conf`	À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CVPR Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
2023	J	`jnl`	À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
2022	A*	`conf`	Class-Incremental Learning with Strong Pre-trained Models. CVPR Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Class-Incremental Learning with Strong Pre-trained Models. CoRR Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Contrastive Neighborhood Alignment. CoRR Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto
2022	J	`jnl`	Critical Learning Periods for Multisensory Integration in Deep Networks. CoRR Michael Kleinman, Alessandro Achille, Stefano Soatto
2022	A*	`conf`	DIVA: Dataset Derivative of a Learning Task. ICLR Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2022	J	`jnl`	Does Monocular Depth Estimation Provide Better Pre-training than Classification for Semantic Segmentation? CoRR Dong Lao, Alex Wong, Stefano Soatto
2022	J	`jnl`	ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training. CoRR Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto
2022	J	`jnl`	Gacs-Korner Common Information Variational Autoencoder. CoRR Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2022	J	`jnl`	Graph Spectral Embedding using the Geodesic Betweeness Centrality. CoRR Shay Deutsch, Stefano Soatto
2022	J	`jnl`	Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille
2022	J	`jnl`	Masked Vision and Language Modeling for Multi-modal Representation Learning. CoRR Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
2022	A*	`conf`	MeMOT: Multi-Object Tracking with Memory. CVPR Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2022	J	`jnl`	MeMOT: Multi-Object Tracking with Memory. CoRR Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2022	A*	`conf`	Mixed Differential Privacy in Computer Vision. CVPR Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
2022	J	`jnl`	Mixed Differential Privacy in Computer Vision. CoRR Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
2022	—	`conf`	Not Just Streaks: Towards Ground Truth for Single Image Deraining. ECCV (7) Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi
2022	A*	`conf`	Omni-DETR: Omni-Supervised Object Detection with Transformers. CVPR Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto
2022	J	`jnl`	Omni-DETR: Omni-Supervised Object Detection with Transformers. CoRR Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto
2022	J	`jnl`	On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake. CoRR Alessandro Achille, Stefano Soatto
2022	A*	`conf`	On Leave-One-Out Conditional Mutual Information For Generalization. NeurIPS Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto
2022	J	`jnl`	On Leave-One-Out Conditional Mutual Information For Generalization. CoRR Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto
2022	A*	`conf`	Semi-supervised Vision Transformers at Scale. NeurIPS Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022	J	`jnl`	Semi-supervised Vision Transformers at Scale. CoRR Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022	J	`jnl`	Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto
2022	J	`jnl`	Stain-invariant self supervised learning for histopathology image analysis. CoRR Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem
2022	A*	`conf`	Stereoscopic Universal Perturbations across Different Architectures and Datasets. CVPR Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
2022	J	`jnl`	Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2022	A*	`conf`	Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Towards Differential Relational Privacy and its use in Question Answering. CoRR Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto
2022	J	`jnl`	Towards Ground Truth for Single Image Deraining. CoRR Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso De Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi
2022	—	`conf`	X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	A linearized framework and a new benchmark for model selection for fine-tuning. CoRR Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona
2021	A*	`conf`	ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. ICCV Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung
2021	J	`jnl`	ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. CoRR Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung
2021	J	`jnl`	An Adaptive Framework for Learning Unsupervised Depth Completion. CoRR Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
2021	J	`jnl`	An Adaptive Framework for Learning Unsupervised Depth Completion. IEEE Robotics Autom. Lett. Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
2021	J	`jnl`	Block-cyclic stochastic coordinate descent for deep neural networks. Neural Networks Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2021	A*	`conf`	Compatibility-Aware Heterogeneous Visual Search. CVPR Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2021	J	`jnl`	Compatibility-aware Heterogeneous Visual Search. CoRR Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2021	J	`jnl`	DIVA: Dataset Derivative of a Learning Task. CoRR Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping. CVPR Yanchao Yang, Brian Lai, Stefano Soatto
2021	A*	`conf`	Dynamically Grown Generative Adversarial Networks. AAAI Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
2021	J	`jnl`	Dynamically Grown Generative Adversarial Networks. CoRR Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
2021	A*	`conf`	Estimating informativeness of samples with Smooth Unique Information. ICLR Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	Estimating informativeness of samples with Smooth Unique Information. CoRR Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2021	A*	`conf`	Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto
2021	J	`jnl`	Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto
2021	J	`jnl`	Harnessing Unrecognizable Faces for Face Recognition. CoRR Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto
2021	A*	`conf`	LQF: Linear Quadratic Fine-Tuning. CVPR Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	Learned Uncertainty Calibration for Visual Inertial Localization. ICRA Stephanie Tsuei, Stefano Soatto, Paulo Tabuada, Mark B. Milam
2021	J	`jnl`	Learned Uncertainty Calibration for Visual Inertial Localization. CoRR Stephanie Tsuei, Stefano Soatto, Paulo Tabuada, Mark B. Milam
2021	A*	`conf`	Learning Hierarchical Graph Neural Networks for Image Clustering. ICCV Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
2021	J	`jnl`	Learning Hierarchical Graph Neural Networks for Image Clustering. CoRR Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
2021	A*	`conf`	Learning Semantic-Aware Dynamics for Video Prediction. CVPR Xinzhu Bei, Yanchao Yang, Stefano Soatto
2021	J	`jnl`	Learning Semantic-Aware Dynamics for Video Prediction. CoRR Xinzhu Bei, Yanchao Yang, Stefano Soatto
2021	J	`jnl`	Learning Topology From Synthetic Data for Unsupervised Depth Completion. IEEE Robotics Autom. Lett. Alex Wong, Safa Cicek, Stefano Soatto
2021	J	`jnl`	Learning Topology from Synthetic Data for Unsupervised Depth Completion. CoRR Alex Wong, Safa Cicek, Stefano Soatto
2021	A*	`conf`	Long Short-Term Transformer for Online Action Detection. NeurIPS Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
2021	J	`jnl`	Long Short-Term Transformer for Online Action Detection. CoRR Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
2021	A*	`conf`	Mixed-Privacy Forgetting in Deep Networks. CVPR Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	Positive-Congruent Training: Towards Regression-Free Model Updates. CVPR Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto
2021	J	`jnl`	Redundant Information Neural Estimation. Entropy Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2021	—	`conf`	Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. ACL/IJCNLP (1) Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto
2021	J	`jnl`	Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. CoRR Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto
2021	J	`jnl`	Representation Consolidation for Training Expert Students. CoRR Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	Revisiting Contrastive Learning for Few-Shot Classification. CoRR Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. CoRR Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong
2021	J	`jnl`	SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. IEEE Robotics Autom. Lett. Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong
2021	J	`jnl`	Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers. CoRR Stephanie Tsuei, Aditya Golatkar, Stefano Soatto
2021	—	`conf`	Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. BrainLes@MICCAI (1) Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
2021	J	`jnl`	Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. CoRR Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
2021	A*	`conf`	Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. AAAI Alex Wong, Mukund Mundhra, Stefano Soatto
2021	J	`jnl`	Stereoscopic Universal Perturbations across Different Architectures and Datasets. CoRR Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
2021	A*	`conf`	Structured Prediction as Translation between Augmented Natural Languages. ICLR Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
2021	J	`jnl`	Structured Prediction as Translation between Augmented Natural Languages. CoRR Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
2021	A*	`conf`	Uniform Sampling over Episode Difficulty. NeurIPS Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto
2021	J	`jnl`	Uniform Sampling over Episode Difficulty. CoRR Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto
2021	A*	`conf`	Unsupervised Depth Completion with Calibrated Backprojection Layers. ICCV Alex Wong, Stefano Soatto
2021	J	`jnl`	Unsupervised Depth Completion with Calibrated Backprojection Layers. CoRR Alex Wong, Stefano Soatto
2021	J	`jnl`	Visual Composite Set Detection Using Part-and-Sum Transformers. CoRR Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
2021	A*	`conf`	Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. ICCV Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
2020	A*	`conf`	A Baseline for Few-Shot Image Classification. ICLR Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto
2020	J	`jnl`	A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics. Entropy Rita Fioresi, Pratik Chaudhari, Stefano Soatto
2020	J	`jnl`	Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
2020	J	`jnl`	Continual Universal Object Detection. CoRR Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	—	`conf`	DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. ACCV (1) Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
2020	—	`conf`	Disentangled Image Generation for Unsupervised Domain Adaptation. ECCV Workshops (1) Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto
2020	A*	`conf`	Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CVPR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2020	A*	`conf`	FDA: Fourier Domain Adaptation for Semantic Segmentation. CVPR Yanchao Yang, Stefano Soatto
2020	J	`jnl`	FDA: Fourier Domain Adaptation for Semantic Segmentation. CoRR Yanchao Yang, Stefano Soatto
2020	—	`conf`	Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. ECCV (29) Aditya Golatkar, Alessandro Achille, Stefano Soatto
2020	J	`jnl`	Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. CoRR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2020	A*	`conf`	Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. NeurIPS Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
2020	J	`jnl`	Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. CoRR Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
2020	—	`conf`	Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. ECCV (7) Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Incremental Learning for Metric-Based Meta-Learners. CoRR Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	LQF: Linear Quadratic Fine-Tuning. CoRR Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2020	A*	`conf`	Learning to Manipulate Individual Objects in an Image. CVPR Yanchao Yang, Yutong Chen, Stefano Soatto
2020	J	`jnl`	Learning to Manipulate Individual Objects in an Image. CoRR Yanchao Yang, Yutong Chen, Stefano Soatto
2020	A*	`conf`	Meta-Q-Learning. ICLR Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
2020	J	`jnl`	Mixed-Privacy Forgetting in Deep Networks. CoRR Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2020	A*	`conf`	Phase Consistent Ecological Domain Adaptation. CVPR Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto
2020	J	`jnl`	Phase Consistent Ecological Domain Adaptation. CoRR Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto
2020	J	`jnl`	Positive-Congruent Training: Towards Regression-Free Model Updates. CoRR Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto
2020	A*	`conf`	Predicting Training Time Without Training. NeurIPS Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Predicting Training Time Without Training. CoRR Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	A*	`conf`	Rethinking the Hyperparameters for Fine-tuning. ICLR Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Rethinking the Hyperparameters for Fine-tuning. CoRR Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	A	`conf`	Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance. IROS Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis W. Hong
2020	J	`jnl`	Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance. CoRR Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis W. Hong
2020	Misc	`conf`	SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2020	—	`conf`	Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue. ACCV (3) Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto
2020	J	`jnl`	Spectral Embedding of Graph Networks. CoRR Shay Deutsch, Stefano Soatto
2020	J	`jnl`	Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. CoRR Alex Wong, Mukund Mundhra, Stefano Soatto
2020	J	`jnl`	Stochastic batch size for adaptive regularization in deep network optimization. CoRR Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2020	A*	`conf`	Targeted Adversarial Perturbations for Monocular Depth Prediction. NeurIPS Alex Wong, Safa Cicek, Stefano Soatto
2020	J	`jnl`	Targeted Adversarial Perturbations for Monocular Depth Prediction. CoRR Alex Wong, Safa Cicek, Stefano Soatto
2020	J	`jnl`	Time-Supervised Primary Object Segmentation. CoRR Yanchao Yang, Brian Lai, Stefano Soatto
2020	A*	`conf`	Towards Backward-Compatible Representation Learning. CVPR Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto
2020	J	`jnl`	Towards Backward-Compatible Representation Learning. CoRR Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto
2020	J	`jnl`	Unsupervised Depth Completion From Visual Inertial Odometry. IEEE Robotics Autom. Lett. Alex Wong, Xiaohan Fei, Stephanie Tsuei, Stefano Soatto
2020	A*	`conf`	Zero Shot Learning with the Isoperimetric Loss. AAAI Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto
2019	J	`jnl`	A Baseline for Few-Shot Image Classification. CoRR Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto
2019	J	`jnl`	A geometric interpretation of stochastic gradient descent using diffusion metrics. CoRR Rita Fioresi, Pratik Chaudhari, Stefano Soatto
2019	A*	`conf`	Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. CVPR Alex Wong, Stefano Soatto
2019	J	`jnl`	Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. CoRR Alex Wong, Byung-Woo Hong, Stefano Soatto
2019	—	`conf`	Critical Learning Periods in Deep Networks. ICLR (Poster) Alessandro Achille, Matteo Rovere, Stefano Soatto
2019	A*	`conf`	Dense Depth Posterior (DDP) From Single Image and Sparse Range. CVPR Yanchao Yang, Alex Wong, Stefano Soatto
2019	J	`jnl`	Dense Depth Posterior (DDP) from Single Image and Sparse Range. CoRR Yanchao Yang, Alex Wong, Stefano Soatto
2019	J	`jnl`	Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CoRR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2019	A*	`conf`	Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. ICCV Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2019	J	`jnl`	Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training. CoRR Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2019	—	`conf`	Finding Structure in Point Cloud Data with the Robust Isoperimetric Loss. SSVM Shay Deutsch, Iacopo Masi, Stefano Soatto
2019	J	`jnl`	Geo-Supervised Visual Depth Prediction. IEEE Robotics Autom. Lett. Xiaohan Fei, Alex Wong, Stefano Soatto
2019	A*	`conf`	GeoNet: Deep Geodesic Networks for Point Cloud Analysis. CVPR Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
2019	J	`jnl`	GeoNet: Deep Geodesic Networks for Point Cloud Analysis. CoRR Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
2019	—	`conf`	Input and Weight Space Smoothing for Semi-Supervised Learning. ICCV Workshops Safa Cicek, Stefano Soatto
2019	J	`jnl`	LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. CoRR Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2019	A	`conf`	MARL-PPS: Multi-agent Reinforcement Learning with Periodic Parameter Sharing. AAMAS Safa Cicek, Alireza Nakhaei, Stefano Soatto, Kikuo Fujimura
2019	A*	`conf`	Meta-Learning With Differentiable Convex Optimization. CVPR Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto
2019	J	`jnl`	Meta-Learning with Differentiable Convex Optimization. CoRR Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto
2019	J	`jnl`	Meta-Q-Learning. CoRR Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
2019	A*	`conf`	Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. AAAI Tong He, Stefano Soatto
2019	J	`jnl`	Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. CoRR Tong He, Stefano Soatto
2019	A*	`conf`	Task2Vec: Task Embedding for Meta-Learning. ICCV Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019	J	`jnl`	Task2Vec: Task Embedding for Meta-Learning. CoRR Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019	J	`jnl`	The Information Complexity of Learning Tasks, their Structure and their Distance. CoRR Alessandro Achille, Giovanni Paolini, Glen Mbeng, Stefano Soatto
2019	A*	`conf`	Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. NeurIPS Aditya Golatkar, Alessandro Achille, Stefano Soatto
2019	J	`jnl`	Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. CoRR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2019	J	`jnl`	Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto
2019	A*	`conf`	Unsupervised Domain Adaptation via Regularized Conditional Alignment. ICCV Safa Cicek, Stefano Soatto
2019	J	`jnl`	Unsupervised Domain Adaptation via Regularized Conditional Alignment. CoRR Safa Cicek, Stefano Soatto
2019	A*	`conf`	Unsupervised Moving Object Detection via Contextual Information Separation. CVPR Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto
2019	J	`jnl`	Unsupervised Moving Object Detection via Contextual Information Separation. CoRR Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto
2019	J	`jnl`	VOICED: Depth Completion from Inertial Odometry and Vision. CoRR Alex Wong, Xiaohan Fei, Stefano Soatto
2019	J	`jnl`	Where is the Information in a Deep Neural Network? CoRR Alessandro Achille, Stefano Soatto
2019	J	`jnl`	Zero Shot Learning with the Isoperimetric Loss. CoRR Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto
2018	J	`jnl`	A Separation Principle for Control in the Age of Deep Learning. Annu. Rev. Control. Robotics Auton. Syst. Alessandro Achille, Stefano Soatto
2018	—	`conf`	Conditional Prior Networks for Optical Flow. ECCV (15) Yanchao Yang, Stefano Soatto
2018	J	`jnl`	Conditional Prior Networks for Optical Flow. CoRR Yanchao Yang, Stefano Soatto
2018	Misc	`conf`	Emergence of Invariance and Disentanglement in Deep Representations. ITA Alessandro Achille, Stefano Soatto
2018	J	`jnl`	Emergence of Invariance and Disentanglement in Deep Representations. J. Mach. Learn. Res. Alessandro Achille, Stefano Soatto
2018	A*	`conf`	Empirical Study of the Topology and Geometry of Deep Networks. CVPR Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto
2018	J	`jnl`	Geo-Supervised Visual Depth Prediction. CoRR Xiaohan Fei, Alex Wong, Stefano Soatto
2018	J	`jnl`	Information Dropout: Learning Optimal Representations Through Noisy Computation. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Achille, Stefano Soatto
2018	J	`jnl`	Input and Weight Space Smoothing for Semi-supervised Learning. CoRR Safa Cicek, Stefano Soatto
2018	A*	`conf`	OATM: Occlusion Aware Template Matching by Consensus Set Maximization. CVPR Simon Korman, Mark Milam, Stefano Soatto
2018	J	`jnl`	OATM: Occlusion Aware Template Matching by Consensus Set Maximization. CoRR Simon Korman, Mark Milam, Stefano Soatto
2018	—	`conf`	Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification. ECCV (5) Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto
2018	—	`conf`	Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. ICLR (Poster) Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
2018	—	`conf`	SaaS: Speed as a Supervisor for Semi-supervised Learning. ECCV (2) Safa Cicek, Alhussein Fawzi, Stefano Soatto
2018	J	`jnl`	SaaS: Speed as a Supervisor for Semi-supervised Learning. CoRR Safa Cicek, Alhussein Fawzi, Stefano Soatto
2018	Misc	`conf`	Stochastic Gradient Descent Performs Variational Inference, Converges to Limit Cycles for Deep Networks. ITA Pratik Chaudhari, Stefano Soatto
2018	—	`conf`	Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks. ICLR (Poster) Pratik Chaudhari, Stefano Soatto
2018	J	`jnl`	The Dynamics of Differential Learning I: Information-Dynamics and Task Reachability. CoRR Alessandro Achille, Glen Mbeng, Stefano Soatto
2018	—	`conf`	Visual-Inertial Object Detection and Mapping. ECCV (11) Xiaohan Fei, Stefano Soatto
2018	J	`jnl`	Visual-Inertial Object Detection and Mapping. CoRR Xiaohan Fei, Stefano Soatto
2017	J	`jnl`	A Separation Principle for Control in the Age of Deep Learning. CoRR Alessandro Achille, Stefano Soatto
2017	—	`conf`	Adaptive Discretizations for Non-smooth Variational Vision. SSVM Virginia Estellers, Stefano Soatto
2017	J	`jnl`	Adaptive Regularization of Some Inverse Problems in Image Analysis. CoRR Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
2017	J	`jnl`	Analysis of universal adversarial perturbations. CoRR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
2017	J	`jnl`	Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks. CoRR Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2017	J	`jnl`	Classification regions of deep neural networks. CoRR Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto
2017	J	`jnl`	Critical Learning Periods in Deep Neural Networks. CoRR Alessandro Achille, Matteo Rovere, Stefano Soatto
2017	J	`jnl`	Deep Relaxation: partial differential equations for optimizing deep neural networks. CoRR Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier
2017	J	`jnl`	DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images. CoRR Jameson Tyler Merkow, Robert B. Lufkin, Kim Nguyen, Stefano Soatto, Zhuowen Tu, Andrea Vedaldi
2017	—	`conf`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. ICLR (Poster) Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2017	J	`jnl`	Mathematics of Deep Learning. CoRR René Vidal, Joan Bruna, Raja Giryes, Stefano Soatto
2017	J	`jnl`	Multi-Label Segmentation via Residual-Driven Adaptive Regularization. CoRR Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto
2017	J	`jnl`	On the Emergence of Invariance and Disentangling in Deep Representations. CoRR Alessandro Achille, Stefano Soatto
2017	J	`jnl`	Parle: parallelizing stochastic gradient descent. CoRR Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar
2017	Misc	`conf`	Partial differential equations for training deep neural networks. ACSSC Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier
2017	J	`jnl`	Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors. CoRR Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto
2017	A*	`conf`	S2F: Slow-to-Fast Interpolator Flow. CVPR Yanchao Yang, Stefano Soatto
2017	J	`jnl`	Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks. CoRR Pratik Chaudhari, Stefano Soatto
2017	A*	`conf`	Visual-Inertial-Semantic Scene Representation for 3D Object Detection. CVPR Jingming Dong, Xiaohan Fei, Stefano Soatto
2017	A*	`conf`	Zero Shot Learning via Multi-scale Manifold Regularization. CVPR Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto
2016	—	`conf`	A Simple Hierarchical Pooling Data Structure for Loop Closure. ECCV (3) Xiaohan Fei, Konstantine Tsotsos, Stefano Soatto
2016	J	`jnl`	A Theory of Local Matching: SIFT and Beyond. CoRR Hossein Mobahi, Stefano Soatto
2016	A	`conf`	A mid-level representation of visual structures for video compression. WACV Georgios Georgiadis, Stefano Soatto
2016	A*	`conf`	An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability. CVPR Nikolaos Karianakis, Jingming Dong, Stefano Soatto
2016	J	`jnl`	Detecting Occlusions as an Inverse Problem. J. Math. Imaging Vis. Virginia Estellers, Stefano Soatto
2016	J	`jnl`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. CoRR Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2016	J	`jnl`	Information Dropout: learning optimal representations through noise. CoRR Alessandro Achille, Stefano Soatto
2016	A*	`conf`	Intent-aware long-term prediction of pedestrian motion. ICRA Vasiliy Karasev, Alper Ayvaci, Bernd Heisele, Stefano Soatto
2016	A*	`conf`	Modeling Visual Representations: Defining Properties and Deep Approximations ICLR (Poster) Stefano Soatto, Alessandro Chiuso
2016	A*	`conf`	Observability, Identifiability and Sensitivity of Vision-Aided Inertial Navigation. IJCAI Joshua Hernandez, Konstantine Tsotsos, Stefano Soatto
2016	J	`jnl`	Robust Surface Reconstruction. SIAM J. Imaging Sci. Virginia Estellers, M. A. Scott, Stefano Soatto
2016	—	`conf`	ShapeFit and ShapeKick for Robust, Scalable Structure from Motion. ECCV (7) Thomas A. Goldstein, Paul Hand, Choongbum Lee, Vladislav Voroninski, Stefano Soatto
2016	J	`jnl`	ShapeFit and ShapeKick for Robust, Scalable Structure from Motion. CoRR Thomas A. Goldstein, Paul Hand, Choongbum Lee, Vladislav Voroninski, Stefano Soatto
2016	J	`jnl`	Visual-Inertial Scene Representations. CoRR Stefano Soatto
2015	A*	`conf`	A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors. ICRA Andrea Censi, Erich Mueller, Emilio Frazzoli, Stefano Soatto
2015	J	`jnl`	A Simple Hierarchical Pooling Data Structure for Loop Closure. CoRR Xiaohan Fei, Konstantine Tsotsos, Stefano Soatto
2015	J	`jnl`	Adaptive Regularization With the Structure Tensor. IEEE Trans. Image Process. Virginia Estellers, Stefano Soatto, Xavier Bresson
2015	J	`jnl`	Boosting Convolutional Features for Robust Object Proposals. CoRR Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto
2015	A*	`conf`	Causal video object segmentation from persistence of occlusions. CVPR Brian Taylor, Vasiliy Karasev, Stefano Soatto
2015	A*	`conf`	Domain-size pooling in local descriptors: DSP-SIFT. CVPR Jingming Dong, Stefano Soatto
2015	A*	`conf`	Efficient minimal-surface regularization of perspective depth maps in variational stereo. CVPR Gottfried Graber, Jonathan Balzer, Stefano Soatto, Thomas Pock
2015	B	`conf`	Exploiting Temporal Redundancy of Visual Structures for Video Compression. DCC Georgios Georgiadis, Stefano Soatto
2015	J	`jnl`	How Well Can a CNN Marginalize Simple Nuisances It is Designed for? CoRR Nikolaos Karianakis, Jingming Dong, Stefano Soatto
2015	A*	`conf`	Multi-view feature engineering and learning. CVPR Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto
2015	A*	`conf`	Observability, identifiability and sensitivity of vision-aided inertial navigation. ICRA Joshua Hernandez, Konstantine Tsotsos, Stefano Soatto
2015	—	`conf`	Perspective distortion modeling, learning and compensation. CVPR Workshops Joachim Valente, Stefano Soatto
2015	—	`conf`	Robust Poisson Surface Reconstruction. SSVM Virginia Estellers, Michael Scott, Kevin Tew, Stefano Soatto
2015	A*	`conf`	Robust inference for visual-inertial sensor fusion. ICRA Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto
2015	A*	`conf`	Self-Occlusions and Disocclusions in Causal Video Object Segmentation. ICCV Yanchao Yang, Ganesh Sundaramoorthi, Stefano Soatto
2015	J	`jnl`	Shape Matching Using Multiscale Integral Invariants. IEEE Trans. Pattern Anal. Mach. Intell. Byung-Woo Hong, Stefano Soatto
2015	A*	`conf`	Texture representations for image and video synthesis. CVPR Georgios Georgiadis, Alessandro Chiuso, Stefano Soatto
2015	J	`jnl`	Trivializing The Energy Landscape Of Deep Networks. CoRR Pratik Chaudhari, Stefano Soatto
2015	—	`conf`	Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures. ICLR (Workshop) Stefano Soatto, Jingming Dong, Nikolaos Karianakis
2015	—	`conf`	Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximations. ICLR (Workshop) Stefano Soatto, Alessandro Chiuso
2014	J	`jnl`	A Linear Systems Approach to Imaging Through Turbulence. J. Math. Imaging Vis. Mario Micheli, Yifei Lou, Stefano Soatto, Andrea L. Bertozzi
2014	A*	`conf`	Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation. CVPR Vasiliy Karasev, Avinash Ravichandran, Stefano Soatto
2014	A*	`conf`	Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search. CVPR Damek Davis, Jonathan Balzer, Stefano Soatto
2014	—	`conf`	Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects. 3DV Jonathan Balzer, Daniel Acevedo Feliz, Stefano Soatto, Sebastian Höfer, Markus Hadwiger, Jürgen Beyerer
2014	J	`jnl`	Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects. CoRR Jonathan Balzer, Daniel Acevedo Feliz, Stefano Soatto, Sebastian Höfer, Markus Hadwiger, Jürgen Beyerer
2014	J	`jnl`	Domain-Size Pooling in Local Descriptors: DSP-SIFT. CoRR Jingming Dong, Stefano Soatto
2014	J	`jnl`	Information-Seeking Control Under Visibility-Based Uncertainty. J. Math. Imaging Vis. Luca Valente, Yen-Hsi Richard Tsai, Stefano Soatto
2014	J	`jnl`	Robust Inference for Visual-Inertial Sensor Fusion. CoRR Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto
2014	A*	`conf`	Second-Order Shape Optimization for Geometric Inverse Problems in Vision. CVPR Jonathan Balzer, Stefano Soatto
2014	—	`ch.`	Visual Correspondence, the Lambert-Ambient Shape Space and the Systematic Design of Feature Descriptors. Registration and Recognition in Images and Videos Stefano Soatto, Jingming Dong
2014	A	`conf`	Volumetric reconstruction applied to perceptual studies of size and weight. WACV Jonathan Balzer, Megan A. K. Peters, Stefano Soatto
2013	—	`ch.`	Actionable Information in Vision. Machine Learning for Computer Vision Stefano Soatto
2013	A*	`conf`	CLAM: Coupled Localization and Mapping with Efficient Outlier Handling. CVPR Jonathan Balzer, Stefano Soatto
2013	Misc	`conf`	Control recognition bounds for visual learning and exploration. ITA Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
2013	A*	`conf`	Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques. CVPR Yun Zeng, Chaohui Wang, Stefano Soatto, Shing-Tung Yau
2013	J	`jnl`	Observability, Identifiability, Sensitivity and Model Reduction For Vision-Assisted Inertial Navigation. CoRR Stefano Soatto
2013	J	`jnl`	On the Design and Analysis of Multiple View Descriptors. CoRR Jingming Dong, Jonathan Balzer, Damek Davis, Joshua Hernandez, Stefano Soatto
2013	J	`jnl`	Second-order Shape Optimization for Geometric Inverse Problems in Vision. CoRR Jonathan Balzer, Stefano Soatto
2013	—	`conf`	Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework. EMMCVPR Brian Taylor, Alper Ayvaci, Avinash Ravichandran, Stefano Soatto
2013	B	`conf`	Texture Compression. DCC Georgios Georgiadis, Alessandro Chiuso, Stefano Soatto
2013	J	`jnl`	Volumetric Reconstruction Applied to Perceptual Studies of Size and Weight. CoRR Jonathan Balzer, Megan A. K. Peters, Stefano Soatto
2012	A*	`conf`	Actionable saliency detection: Independent motion detection without independent motion estimation. CVPR Georgios Georgiadis, Alper Ayvaci, Stefano Soatto
2012	—	`conf`	Controlled Recognition Bounds for Visual Learning and Exploration. NIPS Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
2012	J	`jnl`	Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video. IEEE Trans. Pattern Anal. Mach. Intell. Alper Ayvaci, Stefano Soatto
2012	A*	`conf`	Discovering discriminative action parts from mid-level video representations. CVPR Michalis Raptis, Iasonas Kokkinos, Stefano Soatto
2012	A	`conf`	Fast planar object detection and tracking via edgel templates. WACV Taehee Lee, Stefano Soatto
2012	J	`jnl`	Information Forests CoRR Zhao Yi, Stefano Soatto, Maneesh Dewan, Yiqiang Zhan
2012	Misc	`conf`	Information Forests. ITA Zhao Yi, Stefano Soatto, Maneesh Dewan, Yiqiang Zhan
2012	Misc	`conf`	Information gathering control via exploratory path planning. CISS Luca Valente, Yen-Hsi Richard Tsai, Stefano Soatto
2012	—	`conf`	Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection. ECCV (2) Avinash Ravichandran, Stefano Soatto
2012	B	`conf`	Scene-Aware Video Modeling and Compression. DCC Georgios Georgiadis, Stefano Soatto
2012	J	`jnl`	Sparse Occlusion Detection with Optical Flow. Int. J. Comput. Vis. Alper Ayvaci, Michalis Raptis, Stefano Soatto
2012	—	`conf`	SuperFloxels: A Mid-level Representation for Video Sequences. ECCV Workshops (3) Avinash Ravichandran, Chaohui Wang, Michalis Raptis, Stefano Soatto
2012	B	`conf`	Video upscaling via spatio-temporal self-similarity. ICPR Alper Ayvaci, Hailin Jin, Zhe Lin, Scott Cohen, Stefano Soatto
2012	—	`conf`	Visual-inertial ego-motion estimation for humanoid platforms. Humanoids Konstantine Tsotsos, Alberto Pretto, Stefano Soatto
2011	J	`jnl`	A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering. SIAM J. Imaging Sci. Ganesh Sundaramoorthi, Andrea Mennucci, Stefano Soatto, Anthony J. Yezzi
2011	J	`jnl`	Biopsy needle detection in transrectal ultrasound. Comput. Medical Imaging Graph. Alper Ayvaci, Pingkun Yan, Sheng Xu, Stefano Soatto, Jochen Kruecker
2011	B	`conf`	Controlled Recognition Bounds for Scaling and Occlusion Channels. DCC Stefano Soatto, Alessandro Chiuso
2011	—	`conf`	Detachable Object Detection with Efficient Model Selection. EMMCVPR Alper Ayvaci, Stefano Soatto
2011	J	`jnl`	Detachable Object Detection: Segmentation and Depth Ordering From Short-Baseline Video CoRR Alper Ayvaci, Stefano Soatto
2011	J	`jnl`	Direct Sparse Deblurring. J. Math. Imaging Vis. Yifei Lou, Andrea L. Bertozzi, Stefano Soatto
2011	A*	`conf`	Edgel templates for fast planar object detection and pose estimation. ISMAR Taehee Lee, Stefano Soatto
2011	—	`conf`	Entropy-Scale Profiles for Texture Segmentation. SSVM Byung-Woo Hong, Kangyu Ni, Stefano Soatto
2011	A*	`conf`	Learning and matching multiscale template descriptors for real-time detection, localization and tracking. CVPR Taehee Lee, Stefano Soatto
2011	—	`conf`	Multimodal Registration via Spatial-Context Mutual Information. IPMI Zhao Yi, Stefano Soatto
2011	—	`conf`	Multiple Instance Filtering. NIPS Kamil Wnuk, Stefano Soatto
2011	J	`jnl`	Steps Towards a Theory of Visual Information: Active Perception, Signal-to-Symbol Conversion and the Interplay Between Sensing and Control. CoRR Stefano Soatto
2011	J	`jnl`	Video-based descriptors for object recognition. Image Vis. Comput. Taehee Lee, Stefano Soatto
2011	J	`jnl`	Visual-inertial navigation, mapping and localization: A scalable real-time causal approach. Int. J. Robotics Res. Eagle Jones, Stefano Soatto
2010	—	`conf`	Analyzing Diving: A Dataset for Judging Action Quality. ACCV Workshops (1) Kamil Wnuk, Stefano Soatto
2010	A*	`conf`	Curious snakes: A minimum latency solution to the cluttered background problem in active contours. CVPR Ganesh Sundaramoorthi, Stefano Soatto, Anthony J. Yezzi
2010	B	`conf`	Earth Mover Distance on superpixels. ICIP Sylvain Boltz, Frank Nielsen, Stefano Soatto
2010	J	`jnl`	Editorial for the Special Issue on Photometric Analysis for Computer Vision. Int. J. Comput. Vis. Peter N. Belhumeur, Katsushi Ikeuchi, Emmanuel Prados, Stefano Soatto, Peter F. Sturm
2010	J	`jnl`	Embedded Imagers: Detecting, Localizing, and Recognizing Objects and Events in Natural Habitats. Proc. IEEE Teresa Ko, Josh Hyman, Eric A. Graham, Mark H. Hansen, Stefano Soatto, Deborah Estrin
2010	J	`jnl`	Face verification across age progression using discriminative methods. IEEE Trans. Inf. Forensics Secur. Haibin Ling, Stefano Soatto, Narayanan Ramanathan, David W. Jacobs
2010	A*	`conf`	Feature tracking and object recognition on a hand-held. ISMAR Taehee Lee, Stefano Soatto
2010	J	`jnl`	Heartbeat of a nest: Using imagers as biological sensors. ACM Trans. Sens. Networks Teresa Ko, Shaun Ahmadian, John Hicks, Mohammad H. Rahimi, Deborah Estrin, Stefano Soatto, Sharon Coe, Michael P. Hamilton
2010	—	`ch.`	Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition. Computer Vision: Detection, Recognition and Reconstruction Andrea Vedaldi, Haibin Ling, Stefano Soatto
2010	—	`conf`	Occlusion Detection and Motion Estimation with Convex Optimization. NIPS Alper Ayvaci, Michalis Raptis, Stefano Soatto
2010	—	`conf`	Really Quick Shift: Image Segmentation on a GPU. ECCV Workshops (1) Brian Fulkerson, Stefano Soatto
2010	A*	`conf`	Spike train driven dynamical models for human actions. CVPR Michalis Raptis, Kamil Wnuk, Stefano Soatto
2010	—	`conf`	Texture Regimes for Entropy-Based Multiscale Image Analysis. ECCV (3) Sylvain Boltz, Frank Nielsen, Stefano Soatto
2010	—	`conf`	Tracklet Descriptors for Action Modeling and Video Analysis. ECCV (1) Michalis Raptis, Stefano Soatto
2010	A*	`conf`	Warping background subtraction. CVPR Teresa Ko, Stefano Soatto, Deborah Estrin
2009	—	`conf`	A Non-local Approach to Shape from Ambient Shading. SSVM Emmanuel Prados, Nitin Jindal, Stefano Soatto
2009	A*	`conf`	Actionable information in vision. ICCV Stefano Soatto
2009	—	`conf`	Categorization in natural time-varying image sequences. CVPR Workshops Teresa Ko, Stefano Soatto, Deborah Estrin
2009	A*	`conf`	Class segmentation and object localization with superpixel neighborhoods. ICCV Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
2009	J	`jnl`	Enforcing local context into shape statistics. Adv. Comput. Math. Byung-Woo Hong, Stefano Soatto, Luminita A. Vese
2009	J	`jnl`	Hybrid Dynamical Models of Human Motion for the Recognition of Human Gaits. Int. J. Comput. Vis. Alessandro Bissacco, Stefano Soatto
2009	—	`conf`	Motion segmentation with occlusions on the superpixel graph. ICCV Workshops Alper Ayvaci, Stefano Soatto
2009	Misc	`conf`	Nonlocal Similarity Image Filtering. ICIAP Yifei Lou, Paolo Favaro, Stefano Soatto, Andrea L. Bertozzi
2009	A*	`conf`	Nonrigid registration combining global and local statistics. CVPR Zhao Yi, Stefano Soatto
2009	A*	`conf`	On the set of images modulo viewpoint and contrast changes. CVPR Ganesh Sundaramoorthi, Peter Petersen, V. S. Varadarajan, Stefano Soatto
2009	—	`conf`	SmartLDWS: A robust and scalable lane departure warning system for the smartphones. ITSC Mars Lan, Mahsan Rofouei, Stefano Soatto, Majid Sarrafzadeh
2009	—	`conf`	Tracking deforming objects by filtering and prediction in the space of curves. CDC Ganesh Sundaramoorthi, Andrea Mennucci, Stefano Soatto, Anthony J. Yezzi
2009	J	`jnl`	Unsupervised multiphase segmentation: A recursive approach. Comput. Vis. Image Underst. Kangyu Ni, Byung-Woo Hong, Stefano Soatto, Tony F. Chan
2008	J	`jnl`	3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination. Int. J. Comput. Vis. Hailin Jin, Daniel Cremers, Dejun Wang, Emmanuel Prados, Anthony J. Yezzi, Stefano Soatto
2008	—	`conf`	Background Subtraction on Distributions. ECCV (3) Teresa Ko, Stefano Soatto, Deborah Estrin
2008	J	`jnl`	Dynamic Shape and Appearance Modeling via Moving and Deforming Layers. Int. J. Comput. Vis. Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatto
2008	A*	`conf`	Edge descriptors for robust wide-baseline correspondence. CVPR Jason Meltzer, Stefano Soatto
2008	J	`jnl`	Editorial. Int. J. Comput. Vis. Cordelia Schmid, Stefano Soatto, Carlo Tomasi
2008	A*	`conf`	Filtering Internet image search results towards keyword based category recognition. CVPR Kamil Wnuk, Stefano Soatto
2008	A*	`conf`	Joint data alignment up to (lossy) transformations. CVPR Andrea Vedaldi, Gregorio Guidi, Stefano Soatto
2008	—	`conf`	Localizing Objects with Smart Dictionaries. ECCV (1) Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
2008	—	`conf`	Quick Shift and Kernel Methods for Mode Seeking. ECCV (4) Andrea Vedaldi, Stefano Soatto
2008	A*	`conf`	Relaxed matching kernels for robust image comparison. CVPR Andrea Vedaldi, Stefano Soatto
2008	—	`conf`	Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images. ECCV (2) Ryuzo Okada, Stefano Soatto
2008	J	`jnl`	Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. Paolo Favaro, Stefano Soatto, Martin Burger, Stanley J. Osher
2008	A*	`conf`	The scale of a texture and its application to segmentation. CVPR Byung-Woo Hong, Stefano Soatto, Kangyu Ni, Tony F. Chan
2008	J	`jnl`	Wide-Sense Estimation on the Special Orthogonal Group. Commun. Inf. Syst. Alessandro Chiuso, Giorgio Picci, Stefano Soatto
2007	—	`book`	3-D Shape Estimation and Image Restoration - Exploiting Defocus and Motion Blur. Paolo Favaro, Stefano Soatto
2007	—	`conf`	A Fast RANSAC-Based Registration Algorithm for Accurate Localization in Unknown Environments using LIDAR Measurements. CASE Daniele Fontanelli, Luigi Ricciato, Stefano Soatto
2007	A*	`conf`	A Study of Face Recognition as People Age. ICCV Haibin Ling, Stefano Soatto, Narayanan Ramanathan, David W. Jacobs
2007	J	`jnl`	A Variational Approach to Problems in Calibration of Multiple Cameras. IEEE Trans. Pattern Anal. Mach. Intell. Gozde B. Unal, Anthony J. Yezzi, Stefano Soatto, Gregory G. Slabaugh
2007	A*	`conf`	Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. CVPR Yifei Lou, Paolo Favaro, Andrea L. Bertozzi, Stefano Soatto
2007	J	`jnl`	Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Bissacco, Alessandro Chiuso, Stefano Soatto
2007	A*	`conf`	Correspondence Transfer for the Registration of Multimodal Images. ICCV Zhao Yi, Stefano Soatto
2007	—	`conf`	Exploring Tradeoffs in Accuracy, Energy and Latency of Scale Invariant Feature Transform in Wireless Camera Networks. ICDSC Teresa Ko, Zainul Charbiwala, Shaun Ahmadian, Mohammad H. Rahimi, Mani B. Srivastava, Stefano Soatto, Deborah Estrin
2007	A*	`conf`	Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression. CVPR Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
2007	A*	`conf`	Joint Priors for Variational Shape and Appearance Modeling. CVPR Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatto
2007	A*	`conf`	Moving Forward in Structure From Motion. CVPR Andrea Vedaldi, Gregorio Guidi, Stefano Soatto
2007	J	`jnl`	Mumford-Shah on the Move: Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images. J. Math. Imaging Vis. Hailin Jin, Anthony J. Yezzi, Stefano Soatto
2007	A*	`conf`	On the Blind Classification of Time Series. CVPR Alessandro Bissacco, Stefano Soatto
2007	A*	`conf`	Proximity Distribution Kernels for Geometric Context in Category Recognition. ICCV Haibin Ling, Stefano Soatto
2006	—	`conf`	A Complexity-Distortion Approach to Joint Pattern Alignment. NIPS Andrea Vedaldi, Stefano Soatto
2006	—	`conf`	Classifying Human Dynamics Without Contact Forces. CVPR (2) Alessandro Bissacco, Stefano Soatto
2006	—	`conf`	Control Theory and Fast Marching Techniques for Brain Connectivity Mapping. CVPR (1) Emmanuel Prados, Stefano Soatto, Christophe Lenglet, Jean-Philippe Pons, Nicolas Wotawa, Rachid Deriche, Olivier D. Faugeras
2006	—	`conf`	Detecting Humans via Their Pose. NIPS Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
2006	J	`jnl`	Dynamic Shape and Appearance Models. IEEE Trans. Pattern Anal. Mach. Intell. Gianfranco Doretto, Stefano Soatto
2006	J	`jnl`	Harmonic Embeddings for Linear Shape Analysis. J. Math. Imaging Vis. Alessandro Duci, Anthony J. Yezzi, Stefano Soatto, Kelvin R. Rocha
2006	Misc	`conf`	High Performance Feature Detection on a Reconfigurable Co-Processor. FCCM Jia Ming Mar, Alessandro Bissacco, Stefano Soatto, Soheil Ghiasi
2006	—	`ch.`	Integral Invariants and Shape Matching. Statistics and Analysis of Shapes Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2006	J	`jnl`	Integral Invariants for Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2006	J	`jnl`	Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. Int. J. Comput. Vis. Daniel Cremers, Stanley J. Osher, Stefano Soatto
2006	—	`conf`	Local Features, All Grown Up. CVPR (2) Andrea Vedaldi, Stefano Soatto
2006	—	`ch.`	Modeling Dynamic Scenes: An Overview of Dynamic Textures. Handbook of Mathematical Models in Computer Vision Gianfranco Doretto, Stefano Soatto
2006	J	`jnl`	Region matching with missing parts. Image Vis. Comput. Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitter, Stefano Soatto
2006	—	`conf`	Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation. CVPR (1) Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, Luminita A. Vese
2006	J	`jnl`	The Golem Group/University of California at Los Angeles autonomous ground vehicle in the DARPA grand challenge. J. Field Robotics Richard Mason, Jim Radford, Deepak Kumar, Robert Walters, Brian Fulkerson, Eagle Jones, David Caldwell, Jason Meltzer, Yaniv Alon, Amnon Shashua, Hiroshi Hattori, Emilio Frazzoli, Stefano Soatto
2006	—	`conf`	Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation. CVPR Workshops Dejun Wang, Stefano Soatto, Emmanuel Prados
2006	J	`jnl`	Two-View Multibody Structure from Motion. Int. J. Comput. Vis. René Vidal, Yi Ma, Stefano Soatto, Shankar Sastry
2006	—	`conf`	Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions. ECCV (2) Andrea Vedaldi, Stefano Soatto
2005	J	`jnl`	A Geometric Approach to Shape from Defocus. IEEE Trans. Pattern Anal. Mach. Intell. Paolo Favaro, Stefano Soatto
2005	—	`conf`	Dynamic Shape and Appearance Modeling Via Moving and Deforming Layers. EMMCVPR Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatto
2005	—	`conf`	Fast Marching Method for Generic Shape from Shading. VLSM Emmanuel Prados, Stefano Soatto
2005	A*	`conf`	Features for Recognition: Viewpoint Invariance for Non-Planar Scenes. ICCV Andrea Vedaldi, Stefano Soatto
2005	A*	`conf`	KALMANSAC: Robust Filtering by Consensus. ICCV Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano Soatto
2005	A*	`conf`	Layered Active Appearance Models. ICCV Eagle Jones, Stefano Soatto
2005	J	`jnl`	Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance. Int. J. Comput. Vis. Hailin Jin, Stefano Soatto, Anthony J. Yezzi
2005	—	`conf`	One-Shot Integral Invariant Shape Priors for Variational Segmentation. EMMCVPR Siddharth Manay, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto
2004	—	`conf`	A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues. CVPR (1) Paolo Favaro, Stefano Soatto
2004	—	`conf`	Integral Invariant Signatures. ECCV (4) Siddharth Manay, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2004	—	`conf`	Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. DAGM-Symposium Daniel Cremers, Stanley J. Osher, Stefano Soatto
2004	—	`conf`	Modeling and Synthesis of Facial Motion Driven by Speech. ECCV (3) Payam Saisan, Alessandro Bissacco, Alessandro Chiuso, Stefano Soatto
2004	J	`jnl`	Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. Int. J. Comput. Vis. Daniel Cremers, Stefano Soatto
2004	—	`conf`	Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis. ECCV (1) Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stefano Soatto
2004	—	`conf`	Multiple-view geometry for image-based modeling. SIGGRAPH Course Notes Jana Kosecká, Yi Ma, Stefano Soatto, René Vidal
2004	—	`conf`	Region-Based Segmentation on Evolving Surfaces with Application to 3D Reconstruction of Shape and Piecewise Constant Radiance. ECCV (2) Hailin Jin, Anthony J. Yezzi, Stefano Soatto
2004	—	`conf`	Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. ECCV (1) Paolo Favaro, Martin Burger, Stefano Soatto
2004	—	`conf`	Shedding Light on Stereoscopic Segmentation. CVPR (1) Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto
2004	A	`conf`	Simultaneous localization and mapping using multiple view feature descriptors. IROS Jason Meltzer, Rakesh Gupta, Ming-Hsuan Yang, Stefano Soatto
2004	—	`conf`	Spatially Homogeneous Dynamic Textures. ECCV (2) Gianfranco Doretto, Eagle Jones, Stefano Soatto
2004	—	`conf`	Tracking deformable moving objects under severe occlusions. CDC Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatto
2003	—	`conf`	3D Shape from Anisotropic Diffusion. CVPR (1) Paolo Favaro, Stanley J. Osher, Stefano Soatto, Luminita A. Vese
2003	J	`jnl`	A semi-direct approach to structure from motion. Vis. Comput. Hailin Jin, Paolo Favaro, Stefano Soatto
2003	—	`conf`	An algebraic geometric approach to the identification of a class of linear hybrid systems. CDC René Vidal, Stefano Soatto, Yi Ma, Shankar Sastry
2003	J	`jnl`	Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images. Int. J. Comput. Vis. Anthony J. Yezzi, Stefano Soatto
2003	A*	`conf`	Dynamic Texture Segmentation. ICCV Gianfranco Doretto, Daniel Cremers, Paolo Favaro, Stefano Soatto
2003	J	`jnl`	Dynamic Textures. Int. J. Comput. Vis. Gianfranco Doretto, Alessandro Chiuso, Ying Nian Wu, Stefano Soatto
2003	—	`conf`	Editable Dynamic Textures. CVPR (2) Gianfranco Doretto, Stefano Soatto
2003	J	`jnl`	Estimation of 3D Surface Shape and Smooth Radiance from 2D Images: A Level Set Approach. J. Sci. Comput. Hailin Jin, Anthony J. Yezzi, Yen-Hsi Tsai, Li-Tien Cheng, Stefano Soatto
2003	—	`conf`	Multi-view Stereo Beyond Lambert. CVPR (1) Hailin Jin, Stefano Soatto, Anthony J. Yezzi
2003	—	`conf`	Observability of Linear Hybrid Systems. HSCC René Vidal, Alessandro Chiuso, Stefano Soatto, Shankar Sastry
2003	J	`jnl`	Observing Shape from Defocused Images. Int. J. Comput. Vis. Paolo Favaro, Andrea Mennucci, Stefano Soatto
2003	A*	`conf`	On Exploiting Occlusions in Multiple-view Geometry. ICCV Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soatto
2003	—	`conf`	Seeing Beyond Occlusions (and other marvels of a finite lens aperture). CVPR (2) Paolo Favaro, Stefano Soatto
2003	A*	`conf`	Shape Representation via Harmonic Embedding. ICCV Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitter, Stefano Soatto
2003	J	`jnl`	Stereoscopic Segmentation. Int. J. Comput. Vis. Anthony J. Yezzi, Stefano Soatto
2003	—	`conf`	Structure From Motion for Scenes Without Features. CVPR (1) Anthony J. Yezzi, Stefano Soatto
2003	A*	`conf`	Tales of Shape and Radiance in Multi-view Stereo. ICCV Stefano Soatto, Anthony J. Yezzi, Hailin Jin
2003	A*	`conf`	Variational Space-Time Motion Segmentation. ICCV Daniel Cremers, Stefano Soatto
2002	—	`conf`	A Model (In)Validation Approach to Gait Recognition. 3DPVT Cecilia Mazzaro, Mario Sznaier, Octavia I. Camps, Stefano Soatto, Alessandro Bissacco
2002	—	`conf`	DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images. ECCV (3) Stefano Soatto, Anthony J. Yezzi
2002	—	`conf`	Editable dynamic textures. SIGGRAPH Abstracts and Applications Gianfranco Doretto, Stefano Soatto
2002	—	`conf`	Inpainting from Multiple Views. 3DPVT Sung Ha Kang, Tony F. Chan, Stefano Soatto
2002	—	`conf`	Learning Shape from Defocus. ECCV (2) Paolo Favaro, Stefano Soatto
2002	—	`conf`	Observability and identifiability of jump linear systems. CDC René Vidal, Alessandro Chiuso, Stefano Soatto
2002	—	`conf`	Region Matching with Missing Parts. ECCV (3) Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitter, Stefano Soatto
2002	J	`jnl`	Structure from Motion Causally Integrated Over Time. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto
2002	—	`conf`	Variational Multiframe Stereo in the Presence of Specular Reflections. 3DPVT Hailin Jin, Anthony J. Yezzi, Stefano Soatto
2001	Misc	`conf`	A Semi-direct Approach to Structure from Motion. ICIAP Paolo Favaro, Hailin Jin, Stefano Soatto
2001	—	`conf`	Dynamic Texture Recognition. CVPR (2) Payam Saisan, Gianfranco Doretto, Ying Nian Wu, Stefano Soatto
2001	A*	`conf`	Dynamic Textures. ICCV Stefano Soatto, Gianfranco Doretto, Ying Nian Wu
2001	A*	`conf`	Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination. ICCV Hailin Jin, Paolo Favaro, Stefano Soatto
2001	A*	`conf`	Real-time Virtual Object Insertion. ICCV Paolo Favaro, Hailin Jin, Stefano Soatto
2001	—	`conf`	Recognition of Human Gaits. CVPR (2) Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Stefano Soatto
2001	A*	`conf`	Stereoscopic Segmentation. ICCV Anthony J. Yezzi, Stefano Soatto
2000	—	`conf`	3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation. ECCV (2) Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto
2000	A*	`conf`	A Geometric Approach to Blind Deconvolution with Application to Shape from Defocu. CVPR Stefano Soatto, Paolo Favaro
2000	J	`jnl`	Euclidean Reconstruction and Reprojection Up to Subgroups. Int. J. Comput. Vis. Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastry
2000	—	`conf`	Monte Carlo filtering on Lie groups. CDC Alessandro Chiuso, Stefano Soatto
2000	J	`jnl`	Optimal Structure from Motion: Local Ambiguities and Global Estimates. Int. J. Comput. Vis. Alessandro Chiuso, Roger W. Brockett, Stefano Soatto
2000	A*	`conf`	Real-Time 3-D Motion and Structure of Point-Features: A Front-End for Vision-Based Control and Interaction. CVPR Hailin Jin, Paolo Favaro, Stefano Soatto
2000	—	`conf`	Shape and Radiance Estimation from the Information-Divergence of Blurred Images. ECCV (1) Paolo Favaro, Stefano Soatto
2000	A*	`conf`	Stereoscopic Shading: Integrating Mult1Frame Shape Cues in a Variational Framework. CVPR Hailin Jin, Stefano Soatto, Anthony J. Yezzi
1999	A*	`conf`	Euclidean Reconstruction and Reprojection up to Subgroups. ICCV Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastry
1999	Misc	`conf`	On Observing Shape from Defocused Images. ICIAP Andrea Mennucci, Stefano Soatto
1998	J	`jnl`	Correction to: "Reducing 'Structure From Motion': A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment". IEEE Trans. Pattern Anal. Mach. Intell. Stefano Soatto, Pietro Perona
1998	A*	`conf`	Optimal Structure from Motion: Local Ambiguities and Global Estimates. CVPR Stefano Soatto, Roger W. Brockett
1998	J	`jnl`	Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Stefano Soatto, Pietro Perona
1998	J	`jnl`	Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment. IEEE Trans. Pattern Anal. Mach. Intell. Stefano Soatto, Pietro Perona
1997	J	`jnl`	3-D Structure from Visual Motion: Modeling, Representation and Observability. Autom. Stefano Soatto
1997	—	`conf`	A lagrangian formulation of nonholonomic path following. Block Island Workshop on Vision and Control Ruggero Frezza, Giorgio Picci, Stefano Soatto
1997	J	`jnl`	Motion from Fixation. Real Time Imaging Stefano Soatto, Pietro Perona
1996	J	`jnl`	Motion estimation via dynamic vision. IEEE Trans. Autom. Control. Stefano Soatto, Ruggero Frezza, Pietro Perona
1996	A*	`conf`	Motion from fixation. CVPR Stefano Soatto, Pietro Perona
1996	A*	`conf`	Reducing "structure from motion". CVPR Stefano Soatto, Pietro Perona
1995	A*	`conf`	Dynamic Rigid Motion Estimation from Weak Perspective. ICCV Stefano Soatto, Pietro Perona
1995	—	`conf`	Visual motion estimation from point features: unified view. ICIP (3) Stefano Soatto, Pietro Perona
1994	—	`conf`	Dynamic Visual Motion Estimation from Subspace Constraints. ICIP (1) Stefano Soatto, Pietro Perona
1994	—	`conf`	Motion Estimation on the Essential Manifold. ECCV (2) Stefano Soatto, Ruggero Frezza, Pietro Perona
1994	—	`conf`	Recursive Estimation of Camera Motion from Uncalibrated Image Sequences. ICIP (3) Stefano Soatto, Pietro Perona
1993	A*	`conf`	Recursive motion and structure estimation with complete error characterization. CVPR Stefano Soatto, Pietro Perona, Ruggero Frezza, Giorgio Picci