Leonid Sigal - RankMe

292 papers A* 64A 19B 3C 1Misc 1Journal 158Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alignment-Aware Model Adaptation via Feedback-Guided Optimization. CoRR Gaurav Bhatt, Aditya Chinchure, Jiawei Zhou, Leonid Sigal
2026	J	`jnl`	Do LLMs Benefit from User and Item Embeddings in Recommendation Tasks? CoRR Mir Rayat Imtiaz Hossain, Leo Feng, Leonid Sigal, Mohamed Osama Ahmed
2026	J	`jnl`	Segmentation From Attention: Training-Free Layer Selection and One-Shot Tuning for Segmentation in VLMs. Trans. Mach. Learn. Res. Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little
2026	J	`jnl`	Tinted Frames: Question Framing Blinds Vision-Language Models. CoRR Wan-Cyuan Fan, Jiayun Luo, Declan Kutscher, Leonid Sigal, Ritwik Gupta
2025	J	`jnl`	ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes. CoRR Amartya Mukherjee, Ruizhi Deng, He Zhao, Yuzhen Mao, Leonid Sigal, Frederick Tung
2025	J	`jnl`	BiasConnect: Investigating Bias Interactions in Text-to-Image Models. CoRR Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk
2025	A*	`conf`	Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events. CVPR Aditya Chinchure, Sahithya Ravi, Raymond T. Ng, Vered Shwartz, Boyang Li, Leonid Sigal
2025	J	`jnl`	Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? CoRR Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh, Reza Pourreza, Litian Liu, Sunny Panchal, Pulkit Madan, Leonid Sigal, Roland Memisevic
2025	A*	`conf`	ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement. EMNLP Ali Salamatian, Amirhossein Abaskohi, Wan-Cyuan Fan, Mir Rayat Imtiaz Hossain, Leonid Sigal, Giuseppe Carenini
2025	J	`jnl`	ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement. CoRR Ali Salamatian, Amirhossein Abaskohi, Wan-Cyuan Fan, Mir Rayat Imtiaz Hossain, Leonid Sigal, Giuseppe Carenini
2025	J	`jnl`	DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture. CoRR Xiangteng He, Shunsuke Sakai, Kun Yuan, Nicolas Padoy, Tatsuhito Hasegawa, Leonid Sigal
2025	J	`jnl`	Free Lunch Alignment of Text-to-Image Diffusion Models without Preference Image Pairs. CoRR Jia Jun Cheng Xian, Muchen Li, Haotian Yang, Xin Tao, Pengfei Wan, Leonid Sigal, Renjie Liao
2025	J	`jnl`	In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding. CoRR Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu, Alexander Jacobson, Lu Yuan, Leonid Sigal
2025	J	`jnl`	Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models. Trans. Mach. Learn. Res. Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal
2025	A*	`conf`	LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion. CVPR Muchen Li, Sammy Christen, Chengde Wan, Yujun Cai, Renjie Liao, Leonid Sigal, Shugao Ma
2025	J	`jnl`	Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection. CoRR Shivam Chandhok, Qian Yang, Oscar Mañas, Kanishk Jain, Leonid Sigal, Aishwarya Agrawal
2025	A*	`conf`	Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. ICML Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao
2025	J	`jnl`	Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. CoRR Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao
2025	J	`jnl`	Light Field Neural Rendering. IEEE Trans. Pattern Anal. Mach. Intell. Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2025	A*	`conf`	Locality Sensitive Avatars From Video. ICLR Chunjin Song, Zhijie Wu, Shih-Yang Su, Bastian Wandt, Leonid Sigal, Helge Rhodin
2025	—	`conf`	MM-R³: On (In-)Consistency of Vision-Language Models (VLMs). ACL (Findings) Shih-Han Chou, Shivam Chandhok, Jim Little, Leonid Sigal
2025	—	`conf`	Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. EMNLP (Findings) Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk
2025	J	`jnl`	Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. CoRR Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew Turk
2025	A*	`conf`	Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images. CVPR Yasamin Medghalchi, Moein Heidari, Clayton Allard, Leonid Sigal, Ilker Hacihaliloglu
2025	J	`jnl`	Representing Animatable Avatar via Factorized Neural Fields. Comput. Graph. Forum Chunjin Song, Zhijie Wu, Bastian Wandt, Leonid Sigal, Helge Rhodin
2025	—	`conf`	Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. ACL (1) Shivam Chandhok, Wan-Cyuan Fan, Vered Shwartz, Vineeth N. Balasubramanian, Leonid Sigal
2025	J	`jnl`	Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. CoRR Shivam Chandhok, Wan-Cyuan Fan, Vered Shwartz, Vineeth N. Balasubramanian, Leonid Sigal
2025	A*	`conf`	Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks. ICML Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal
2025	J	`jnl`	Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks. CoRR Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal
2025	J	`jnl`	RewardRank: Optimizing True Learning-to-Rank Utility. CoRR Gaurav Bhatt, Kiran Koshy Thekumparampil, Tanmay Gangwani, Tesi Xiao, Leonid Sigal
2025	J	`jnl`	SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge Semantics. CoRR Ailar Mahdizadeh, Puria Azadi Moghadam, Xiangteng He, Shahriar Mirabbasi, Panos Nasiopoulos, Leonid Sigal
2025	J	`jnl`	SPIKE-RL: Video-LLMs meet Bayesian Surprise. CoRR Sahithya Ravi, Aditya Chinchure, Raymond T. Ng, Leonid Sigal, Vered Shwartz
2025	J	`jnl`	Spotlight: Identifying and Localizing Video Generation Errors Using VLMs. CoRR Aditya Chinchure, Sahithya Ravi, Pushkar Shukla, Vered Shwartz, Leonid Sigal
2025	A	`conf`	TAM-VT: Transformation-Aware Multi-Scale Video Transformer for Segmentation and Tracking. WACV Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam, Leonid Sigal
2025	J	`jnl`	Test-Time Consistency in Vision Language Models. CoRR Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal
2025	J	`jnl`	The Power of One: A Single Example is All it Takes for Segmentation in VLMs. CoRR Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little
2025	J	`jnl`	To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models. CoRR Jiayun Luo, Wan-Cyuan Fan, Lyuyang Wang, Xiangteng He, Tanzila Rahman, Purang Abolmaesumi, Leonid Sigal
2024	J	`jnl`	Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses. CoRR Jiayun Luo, Mir Rayat Imtiaz Hossain, Boyang Li, Leonid Sigal
2024	J	`jnl`	Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events. CoRR Aditya Chinchure, Sahithya Ravi, Raymond T. Ng, Vered Shwartz, Boyang Li, Leonid Sigal
2024	A*	`conf`	Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models. CVPR Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li
2024	A*	`conf`	Extending Video Masked Autoencoders to 128 frames. NeurIPS Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal
2024	J	`jnl`	Extending Video Masked Autoencoders to 128 frames. CoRR Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar M. Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal
2024	J	`jnl`	Four-Plane Factorized Video Autoencoders. CoRR Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2024	A	`conf`	Framework-agnostic Semantically-aware Global Reasoning for Segmentation. WACV Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little
2024	J	`jnl`	HyperSOR: Context-Aware Graph Hypernetwork for Salient Object Ranking. IEEE Trans. Pattern Anal. Mach. Intell. Minglang Qiao, Mai Xu, Lai Jiang, Peng Lei, Shijie Wen, Yunjin Chen, Leonid Sigal
2024	J	`jnl`	Implicit and explicit commonsense for multi-sentence video captioning. Comput. Vis. Image Underst. Shih-Han Chou, James J. Little, Leonid Sigal
2024	J	`jnl`	Joint Generative Modeling of Scene Graphs and Images via Diffusion Models. CoRR Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal
2024	J	`jnl`	MM-R CoRR Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal
2024	J	`jnl`	MMFactory: A Universal Solution Search Engine for Vision-Language Tasks. CoRR Wan-Cyuan Fan, Tanzila Rahman, Leonid Sigal
2024	J	`jnl`	Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). CoRR Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang, Ian Knopke, Sedef Akinli Koçak, Leonid Sigal, Yalda Mohsenzadeh
2024	J	`jnl`	On Pre-training of Multimodal Language Models Customized for Chart Understanding. CoRR Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu, Lu Yuan, Leonid Sigal
2024	—	`conf`	Preventing Catastrophic Forgetting Through Memory Networks in Continuous Detection. ECCV (84) Gaurav Bhatt, James Ross, Leonid Sigal
2024	J	`jnl`	Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection. CoRR Gaurav Bhatt, James Ross, Leonid Sigal
2024	J	`jnl`	Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images. CoRR Yasamin Medghalchi, Moein Heidari, Clayton Allard, Leonid Sigal, Ilker Hacihaliloglu
2024	A*	`conf`	Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. CVPR Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal
2024	J	`jnl`	Proposal With Alignment: A Bi-Directional Transformer for 360° Video Viewport Proposal. IEEE Trans. Circuits Syst. Video Technol. Yichen Guo, Mai Xu, Lai Jiang, Xin Deng, Jing Zhou, Gaoxing Chen, Leonid Sigal
2024	J	`jnl`	Representing Animatable Avatar via Factorized Neural Fields. CoRR Chunjin Song, Zhijie Wu, Bastian Wandt, Leonid Sigal, Helge Rhodin
2024	J	`jnl`	Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities. CoRR Shivam Chandhok, Wan-Cyuan Fan, Leonid Sigal
2024	Misc	`conf`	Saliency Prediction of Sports Videos: A Large-Scale Database and a Self-Adaptive Approach. ICASSP Minglang Qiao, Mai Xu, Shijie Wen, Lai Jiang, Shengxi Li, Tao Xu, Yunjin Chen, Leonid Sigal
2024	A	`conf`	Self-Supervised Relation Alignment for Scene Graph Generation. WACV Bicheng Xu, Renjie Liao, Leonid Sigal
2024	—	`conf`	TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. ECCV (79) Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk
2024	—	`conf`	The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. ECCV Workshops (7) Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Sai S. Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin
2024	J	`jnl`	Training feedforward neural nets in Hopfield-energy-based configuration: A two-step approach. Pattern Recognit. Jing Wang, Jiahong Chen, Kuangen Zhang, Leonid Sigal
2024	J	`jnl`	Visual Concept-driven Image Generation with Text-to-Image Diffusion Model. CoRR Tanzila Rahman, Shweta Mahajan, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Leonid Sigal
2024	A*	`conf`	Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CVPR Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little
2024	J	`jnl`	Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CoRR Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little
2024	J	`jnl`	What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context. CoRR Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, Clarence W. de Silva
2024	J	`jnl`	What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context. Trans. Mach. Learn. Res. Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, Clarence W. de Silva
2023	A*	`conf`	DINN360: Deformable Invertible Neural Network for Latitude-aware 360° Image Rescaling. CVPR Yichen Guo, Mai Xu, Lai Jiang, Leonid Sigal, Yunjin Chen
2023	J	`jnl`	Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline. CoRR Siddhesh Khandelwal, Anirudth Nambirajan, Behjat Siddiquie, Jayan Eledath, Leonid Sigal
2023	J	`jnl`	GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search. Trans. Mach. Learn. Res. Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao
2023	J	`jnl`	INVE: Interactive Neural Video Editing. CoRR Jiahui Huang, Leonid Sigal, Kwang Moo Yi, Oliver Wang, Joon-Young Lee
2023	J	`jnl`	Implicit and Explicit Commonsense for Multi-sentence Video Captioning. CoRR Shih-Han Chou, James J. Little, Leonid Sigal
2023	J	`jnl`	M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking. CoRR Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam, Leonid Sigal
2023	J	`jnl`	MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran
2023	A*	`conf`	Make-A-Story: Visual Memory Conditioned Consistent Story Generation. CVPR Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal
2023	A*	`conf`	Mitigating the Effect of Incidental Correlations on Part-based Learning. NeurIPS Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
2023	J	`jnl`	Mitigating the Effect of Incidental Correlations on Part-based Learning. CoRR Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
2023	A*	`conf`	Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. CVPR Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole
2023	A	`conf`	Optimizing DNN based quality assessment metric for image compression: A novel rate control method. ICME Qiuyue Fang, Tao Xu, Lai Jiang, Shengxi Li, Mai Xu, Yunjin Chen, Leonid Sigal
2023	J	`jnl`	Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models. CoRR Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li
2023	J	`jnl`	Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. CoRR Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal
2023	J	`jnl`	Self-Supervised Relation Alignment for Scene Graph Generation. CoRR Bicheng Xu, Renjie Liao, Leonid Sigal
2023	A*	`conf`	Self-supervision through Random Segments with Autoregressive Coding (RandSAC). ICLR Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal
2023	J	`jnl`	Subpixel Deblurring of Anti-Aliased Raster Clip-Art. Comput. Graph. Forum Jinfan Yang, Nicholas Vining, S. Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer
2023	J	`jnl`	TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. CoRR Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk
2023	A*	`conf`	Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. ICCV Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal
2023	J	`jnl`	Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. CoRR Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal
2023	A	`conf`	VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. WACV Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz
2023	J	`jnl`	Vocabulary-informed Zero-shot and Open-set Learning. CoRR Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal
2023	A	`conf`	Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning. BMVC Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
2022	J	`jnl`	Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. CoRR Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood
2022	—	`conf`	Generalizable Patch-Based Neural Rendering. ECCV (32) Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2022	J	`jnl`	Generalizable Patch-Based Neural Rendering. CoRR Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2022	J	`jnl`	GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models. CoRR Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao
2022	A*	`conf`	Iterative Scene Graph Generation. NeurIPS Siddhesh Khandelwal, Leonid Sigal
2022	J	`jnl`	Iterative Scene Graph Generation. CoRR Siddhesh Khandelwal, Leonid Sigal
2022	—	`conf`	Layered Controllable Video Generation. ECCV (16) Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal
2022	J	`jnl`	Learning the Compositional Domains for Generalized Zero-shot Learning. Comput. Vis. Image Underst. Hanze Dong, Yanwei Fu, Sung Ju Hwang, Leonid Sigal, Xiangyang Xue
2022	A*	`conf`	Light Field Neural Rendering. CVPR Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2022	J	`jnl`	Make-A-Story: Visual Memory Conditioned Consistent Story Generation. CoRR Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal
2022	J	`jnl`	Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices. CoRR Peyman Bateni, Leonid Sigal
2022	J	`jnl`	Self-supervision through Random Segments with Autoregressive Coding (RandSAC). CoRR Tianyu Hua, Yonglong Tian, Sucheng Ren, Hang Zhao, Leonid Sigal
2022	J	`jnl`	Semantically Enhanced Global Reasoning for Semantic Segmentation. CoRR Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little
2022	—	`conf`	Semi-supervised Grounding Alignment for Multi-modal Feature Learning. CRV Shih-Han Chou, Zicong Fan, James J. Little, Leonid Sigal
2022	J	`jnl`	VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. CoRR Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz
2021	A	`conf`	A Simple Baseline for Weakly-Supervised Human-centric Relation Detection. BMVC Raghav Goyal, Leonid Sigal
2021	—	`conf`	An Improved Attention for Visual Question Answering. CVPR Workshops Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini
2021	J	`jnl`	DeepVS2.0: A Saliency-Structured Deep Learning Method for Predicting Dynamic Visual Attention. Int. J. Comput. Vis. Lai Jiang, Mai Xu, Zulin Wang, Leonid Sigal
2021	J	`jnl`	Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment. Pattern Recognit. Jing Wang, Jiahong Chen, Jianzhe Lin, Leonid Sigal, Clarence W. de Silva
2021	A*	`conf`	Energy-Based Learning for Scene Graph Generation. CVPR Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gérard G. Medioni, Leonid Sigal
2021	J	`jnl`	Energy-Based Learning for Scene Graph Generation. CoRR Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gérard G. Medioni, Leonid Sigal
2021	J	`jnl`	Guest Editorial Introduction to the Special Issue on Large-Scale Visual Sensor Networks: Architectures and Applications. IEEE Trans. Circuits Syst. Video Technol. Paolo Spagnolo, Hamid Aghajan, George Bebis, Shaogang Gong, Amy Loutfi, Leonid Sigal, Wei-Shi Zheng
2021	J	`jnl`	Layered Controllable Video Generation. CoRR Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal
2021	J	`jnl`	Light Field Neural Rendering. CoRR Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2021	A	`conf`	PROVIDE: a probabilistic framework for unsupervised video decomposition. UAI Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
2021	A	`conf`	Person-in-Context Synthesis with Compositional Structural Space. WACV Weidong Yin, Ziwei Liu, Leonid Sigal
2021	A*	`conf`	Referring Transformer: A One-step Approach to Multi-task Visual Grounding. NeurIPS Muchen Li, Leonid Sigal
2021	J	`jnl`	Referring Transformer: A One-step Approach to Multi-task Visual Grounding. CoRR Muchen Li, Leonid Sigal
2021	A*	`conf`	Saliency-Guided Image Translation. CVPR Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal
2021	A*	`conf`	Segmentation-grounded Scene Graph Generation. ICCV Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal
2021	J	`jnl`	Segmentation-grounded Scene Graph Generation. CoRR Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal
2021	J	`jnl`	TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation. CoRR Tanzila Rahman, Mengyu Yang, Leonid Sigal
2021	A*	`conf`	TriBERT: Human-centric Audio-visual Representation Learning. NeurIPS Tanzila Rahman, Mengyu Yang, Leonid Sigal
2021	A*	`conf`	UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. CVPR Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal
2021	A	`conf`	Weakly-Supervised Audio-Visual Sound Source Detection and Separation. ICME Tanzila Rahman, Leonid Sigal
2021	J	`jnl`	Weakly-supervised Audio-visual Sound Source Detection and Separation. CoRR Tanzila Rahman, Leonid Sigal
2020	J	`jnl`	An Improved Attention for Visual Question Answering. CoRR Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini
2020	A	`conf`	Attribute-Guided Image Generation from Layout. BMVC Ke Ma, Bo Zhao, Leonid Sigal
2020	J	`jnl`	Attribute-guided image generation from layout. CoRR Ke Ma, Bo Zhao, Leonid Sigal
2020	J	`jnl`	Consistent Multiple Sequence Decoding. CoRR Bicheng Xu, Leonid Sigal
2020	J	`jnl`	DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction. Pattern Recognit. Lai Jiang, Mai Xu, Shanyi Zhang, Leonid Sigal
2020	J	`jnl`	Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment. CoRR Jing Wang, Jiahong Chen, Jianzhe Lin, Leonid Sigal, Clarence W. de Silva
2020	A*	`conf`	Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. CVPR Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer
2020	—	`conf`	Generating Videos of Zero-Shot Compositions of Actions and Objects. ECCV (12) Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal, Greg Mori
2020	A*	`conf`	Improved Few-Shot Visual Classification. CVPR Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
2020	J	`jnl`	Layout2image: Image Generation from Layout. Int. J. Comput. Vis. Bo Zhao, Weidong Yin, Lili Meng, Leonid Sigal
2020	J	`jnl`	Person-in-Context Synthesiswith Compositional Structural Space. CoRR Weidong Yin, Ziwei Liu, Leonid Sigal
2020	J	`jnl`	PolyFit: perception-aligned vectorization of raster clip-art via intermediate polygonal fitting. ACM Trans. Graph. Edoardo Alberto Dominici, Nico Schertler, Jonathan Griffin, Shayan Hoshyari, Leonid Sigal, Alla Sheffer
2020	J	`jnl`	Predicting Personality from Book Preferences with User-Generated Content Labels. IEEE Trans. Affect. Comput. Ng Annalyn, Maarten W. Bos, Leonid Sigal, Boyang Li
2020	J	`jnl`	Unsupervised Video Decomposition using Spatio-temporal Iterative Inference. CoRR Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
2020	J	`jnl`	Variational Hyper RNN for Sequence Modeling. CoRR Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker
2020	J	`jnl`	Vocabulary-Informed Zero-Shot and Open-Set Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal
2020	J	`jnl`	Weakly-supervised Any-shot Object Detection. CoRR Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal
2019	A*	`conf`	A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	J	`jnl`	A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	A*	`conf`	AttentionRNN: A Structured Spatial Attention Mechanism. ICCV Siddhesh Khandelwal, Leonid Sigal
2019	J	`jnl`	AttentionRNN: A Structured Spatial Attention Mechanism. CoRR Siddhesh Khandelwal, Leonid Sigal
2019	A	`conf`	DwNet: Dense warp-based network for pose-guided human video generation. BMVC Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal
2019	J	`jnl`	DwNet: Dense warp-based network for pose-guided human video generation. CoRR Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal
2019	J	`jnl`	Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. CoRR Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer
2019	A*	`conf`	G3raphGround: Graph-Based Language Grounding. ICCV Mohit Bajaj, Lanjun Wang, Leonid Sigal
2019	A*	`conf`	Image Generation From Layout. CVPR Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
2019	J	`jnl`	Improved Few-Shot Visual Classification. CoRR Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
2019	—	`conf`	Interpretable Spatio-Temporal Attention for Video Action Recognition. ICCV Workshops Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal
2019	A	`conf`	Joint Event Detection and Description in Continuous Video Streams. WACV Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko
2019	—	`conf`	Joint Event Detection and Description in Continuous Video Streams. WACV Workshops Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko
2019	A*	`conf`	LayoutVAE: Stochastic Scene Layout Generation From a Label Set. ICCV Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	J	`jnl`	LayoutVAE: Stochastic Scene Layout Generation from a Label Set. CoRR Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	J	`jnl`	Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. J. Comput. Sci. Technol. Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2019	A*	`conf`	Mixture-Kernel Graph Attention Network for Situation Recognition. ICCV Mohammed Suhail, Leonid Sigal
2019	J	`jnl`	Multi-Level Semantic Feature Augmentation for One-Shot Learning. IEEE Trans. Image Process. Zitian Chen, Yanwei Fu, Yinda Zhang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal
2019	A*	`conf`	Multilevel Language and Vision Integration for Text-to-Clip Retrieval. AAAI Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
2019	A*	`conf`	Neural Sequential Phrase Grounding (SeqGROUND). CVPR Pelin Dogan, Leonid Sigal, Markus H. Gross
2019	J	`jnl`	Neural Sequential Phrase Grounding (SeqGROUND). CoRR Pelin Dogan, Leonid Sigal, Markus H. Gross
2019	J	`jnl`	OptiBox: Breaking the Limits of Proposals for Visual Grounding. CoRR Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little
2019	A	`conf`	Spatio-temporal Relational Reasoning for Video Question Answering. BMVC Gursimran Singh, Leonid Sigal, James J. Little
2019	A*	`conf`	Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning. ICCV Tanzila Rahman, Bicheng Xu, Leonid Sigal
2019	J	`jnl`	Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning. CoRR Tanzila Rahman, Bicheng Xu, Leonid Sigal
2019	A	`conf`	Weakly-Supervised Spatial Context Networks. WACV Zuxuan Wu, Larry Davis, Leonid Sigal
2019	J	`jnl`	Zero-Shot Generation of Human-Object Interaction Videos. CoRR Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal
2018	A*	`conf`	A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH). CVPR Pelin Dogan, Boyang Li, Leonid Sigal, Markus H. Gross
2018	J	`jnl`	Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. IEEE Trans. Affect. Comput. Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal
2018	J	`jnl`	Image Generation from Layout. CoRR Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
2018	J	`jnl`	Joint Event Detection and Description in Continuous Video Streams. CoRR Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko
2018	J	`jnl`	LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH). CoRR Pelin Dogan, Boyang Li, Leonid Sigal, Markus H. Gross
2018	J	`jnl`	Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. CoRR Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue
2018	A*	`conf`	Middle-Out Decoding. NeurIPS Shikib Mehri, Leonid Sigal
2018	J	`jnl`	Middle-Out Decoding. CoRR Shikib Mehri, Leonid Sigal
2018	—	`conf`	Modular Generative Adversarial Networks. ECCV (14) Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal
2018	J	`jnl`	Modular Generative Adversarial Networks. CoRR Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal
2018	—	`conf`	Probabilistic Video Generation Using Holistic Attribute Control. ECCV (5) Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
2018	J	`jnl`	Probabilistic Video Generation using Holistic Attribute Control. CoRR Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
2018	J	`jnl`	Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content. IEEE Signal Process. Mag. Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong
2018	J	`jnl`	Semantic Feature Augmentation in Few-shot Learning. CoRR Zitian Chen, Yanwei Fu, Yinda Zhang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal
2018	A*	`conf`	Show Me a Story: Towards Coherent Neural Story Illustration. CVPR Hareesh Ravi, Lezi Wang, Carlos Muñiz, Leonid Sigal, Dimitris N. Metaxas, Mubbasir Kapadia
2018	J	`jnl`	Space-Time Tree Ensemble for Action Recognition and Localization. Int. J. Comput. Vis. Shugao Ma, Jianming Zhang, Stan Sclaroff, Nazli Ikizler-Cinbis, Leonid Sigal
2018	J	`jnl`	Story Albums: Creating Fictional Stories From Personal Photograph Sets. Comput. Graph. Forum Oz Radiano, Yonatan Graber, Moshe Mahler, Leonid Sigal, Arik Shamir
2018	J	`jnl`	Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning. CoRR Huijuan Xu, Kun He, Leonid Sigal, Stan Sclaroff, Kate Saenko
2018	J	`jnl`	Towards Traversing the Continuous Spectrum of Image Retrieval. CoRR Ziad Al-Halah, Andreas M. Lehrmann, Leonid Sigal
2018	—	`conf`	Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. CRV Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2018	J	`jnl`	Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. CoRR Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2018	J	`jnl`	Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. CoRR Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal
2017	J	`jnl`	Action Classification and Highlighting in Videos. CoRR Atousa Torabi, Leonid Sigal
2017	J	`jnl`	Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web. Pattern Recognit. Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff
2017	A	`conf`	Learn How to Choose: Independent Detectors Versus Composite Visual Phrases. WACV Guy Rosenthal, Ariel Shamir, Leonid Sigal
2017	J	`jnl`	Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. CoRR Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2017	—	`conf`	Non-parametric Structured Output Networks. NIPS Andreas M. Lehrmann, Leonid Sigal
2017	J	`jnl`	Predicting Personality from Book Preferences with User-Generated Content Labels. CoRR Ng Annalyn, Maarten W. Bos, Leonid Sigal, Boyang Li
2017	J	`jnl`	Recent Advances in Zero-shot Recognition. CoRR Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong
2017	J	`jnl`	Semi-Latent GAN: Learning to generate and modify facial images from attributes. CoRR Weidong Yin, Yanwei Fu, Leonid Sigal, Xiangyang Xue
2017	—	`conf`	Visual Reference Resolution using Attention Memory for Visual Dialog. NIPS Paul Hongsuck Seo, Andreas M. Lehrmann, Bohyung Han, Leonid Sigal
2017	J	`jnl`	Visual Reference Resolution using Attention Memory for Visual Dialog. CoRR Paul Hongsuck Seo, Andreas M. Lehrmann, Bohyung Han, Leonid Sigal
2017	J	`jnl`	Weakly-Supervised Spatial Context Networks. CoRR Zuxuan Wu, Larry S. Davis, Leonid Sigal
2017	A*	`conf`	Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures. CVPR Fanyi Xiao, Leonid Sigal, Yong Jae Lee
2017	J	`jnl`	Weakly-supervised Visual Grounding of Phrases with Linguistic Structures. CoRR Fanyi Xiao, Leonid Sigal, Yong Jae Lee
2016	A*	`conf`	Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. AAAI Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal
2016	A*	`conf`	Harnessing Object and Scene Semantics for Large-Scale Video Understanding. CVPR Zuxuan Wu, Yanwei Fu, Yu-Gang Jiang, Leonid Sigal
2016	A*	`conf`	Knowledge Transfer with Interactive Learning of Semantic Relationships. AAAI Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis
2016	A*	`conf`	Learning Activity Progression in LSTMs for Activity Detection and Early Detection. CVPR Shugao Ma, Leonid Sigal, Stan Sclaroff
2016	J	`jnl`	Learning Language-Visual Embedding for Movie Understanding with Natural-Language. CoRR Atousa Torabi, Niket Tandon, Leonid Sigal
2016	A*	`conf`	Learning to Generate Posters of Scientific Papers. AAAI Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2016	J	`jnl`	Learning to Generate Posters of Scientific Papers. CoRR Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
2016	—	`conf`	Real-time Physics-based Motion Capture with Sparse Sensors. CVMP Sheldon Andrews, Ivan Huerta Casado, Taku Komura, Leonid Sigal, Kenny Mitchell
2016	A*	`conf`	Semi-supervised Vocabulary-Informed Learning. CVPR Yanwei Fu, Leonid Sigal
2016	J	`jnl`	Semi-supervised Vocabulary-informed Learning. CoRR Yanwei Fu, Leonid Sigal
2016	B	`conf`	Video Emotion Recognition with Transferred Deep Feature Encodings. ICMR Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal
2015	—	`conf`	A Unified Semantic Embedding: Relating Taxonomies and Attributes. AAAI Spring Symposia Sung Ju Hwang, Leonid Sigal
2015	J	`jnl`	A perceptual control space for garment simulation. ACM Trans. Graph. Leonid Sigal, Moshe Mahler, Spencer Diaz, Kyna McIntosh, Elizabeth J. Carter, Timothy Richards, Jessica K. Hodgins
2015	J	`jnl`	Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama
2015	A*	`conf`	Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams. KDD Gunhee Kim, Leonid Sigal
2015	J	`jnl`	Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web. CoRR Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff
2015	A*	`conf`	Expanding object detector's Horizon: Incremental learning framework for object detection in videos. CVPR Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal
2015	A	`conf`	Family Member Identification from Photo Collections. WACV Qieyun Dai, Peter Carr, Leonid Sigal, Derek Hoiem
2015	J	`jnl`	Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. CoRR Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal
2015	J	`jnl`	Hierarchical Maximum-Margin Clustering. CoRR Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal, Greg Mori
2015	A*	`conf`	Joint photo stream and blog post summarization and exploration. CVPR Gunhee Kim, Seungwhan Moon, Leonid Sigal
2015	J	`jnl`	Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder. CoRR Xi Zhang, Yanwei Fu, Andi Zang, Leonid Sigal, Gady Agam
2015	C	`conf`	Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. ICMLA Xi Zhang, Yanwei Fu, Shanshan Jiang, Leonid Sigal, Gady Agam
2015	J	`jnl`	Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. CoRR Xi Zhang, Yanwei Fu, Shanshan Jiang, Leonid Sigal, Gady Agam
2015	A	`conf`	Learning to Select and Order Vacation Photographs. WACV Fereshteh Sadeghi, J. Rafael Tena, Ali Farhadi, Leonid Sigal
2015	A*	`conf`	Ranking and retrieval of image sequences from multiple paragraph queries. CVPR Gunhee Kim, Seungwhan Moon, Leonid Sigal
2015	A*	`conf`	Space-time tree ensemble for action recognition. CVPR Shugao Ma, Leonid Sigal, Stan Sclaroff
2015	A*	`conf`	Storyline Representation of Egocentric Videos with an Applications to Story-Based Search. ICCV Bo Xiong, Gunhee Kim, Leonid Sigal
2014	—	`conf`	A Unified Semantic Embedding: Relating Taxonomies and Attributes. NIPS Sung Ju Hwang, Leonid Sigal
2014	J	`jnl`	A Unified Semantic Embedding: Relating Taxonomies and Attributes. CoRR Sung Ju Hwang, Leonid Sigal
2014	J	`jnl`	Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Makoto Yamada, Leonid Sigal, Michalis Raptis
2014	J	`jnl`	Domain Adaptation for Structured Regression. Int. J. Comput. Vis. Makoto Yamada, Leonid Sigal, Yi Chang
2014	J	`jnl`	High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Comput. Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama
2014	—	`ch.`	Human Pose Estimation. Computer Vision, A Reference Guide Leonid Sigal
2014	A*	`conf`	Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction. CVPR Gunhee Kim, Leonid Sigal, Eric P. Xing
2014	A	`conf`	Nonparametric Clustering with Distance Dependent Hierarchies. UAI Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth
2014	—	`conf`	Parameterizing Object Detectors in the Continuous Pose Space. ECCV (4) Kun He, Leonid Sigal, Stan Sclaroff
2013	—	`conf`	Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. NIPS Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, Greg Mori
2013	J	`jnl`	Canonical locality preserving Latent Variable Model for discriminative pose inference. Image Vis. Comput. Yan Tian, Leonid Sigal, Fernando De la Torre, Yonghua Jia
2013	B	`conf`	ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary. ICMI Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Isabelle Guyon, Vassilis Athitsos, Hugo Jair Escalante, Leonid Sigal, Antonis A. Argyros, Cristian Sminchisescu, Richard Bowden, Stan Sclaroff
2013	J	`jnl`	Dynamical Simulation Priors for Human Motion Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenkins
2013	A*	`conf`	From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. ICCV Tian Lan, Michalis Raptis, Leonid Sigal, Greg Mori
2013	A*	`conf`	Poselet Key-Framing: A Model for Human Activity Recognition. CVPR Michalis Raptis, Leonid Sigal
2012	J	`jnl`	Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information CoRR Makoto Yamada, Leonid Sigal, Michalis Raptis, Masashi Sugiyama
2012	—	`conf`	Destination Flow for Crowd Simulation. ECCV Workshops (3) Stefano Pellegrini, Jürgen Gall, Leonid Sigal, Luc Van Gool
2012	J	`jnl`	High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso CoRR Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Masashi Sugiyama
2012	—	`conf`	Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation. AMDO Mykhaylo Andriluka, Leonid Sigal
2012	J	`jnl`	Human attributes from 3D pose tracking. Comput. Vis. Image Underst. Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet
2012	J	`jnl`	Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation. Int. J. Comput. Vis. Leonid Sigal, Michael Isard, Horst W. Haussecker, Michael J. Black
2012	—	`conf`	Multi-linear Data-Driven Dynamic Hair Model with Efficient Hair-Body Collision Handling. Symposium on Computer Animation Peng Guan, Leonid Sigal, Valeria Reznitskaya, Jessica K. Hodgins
2012	—	`conf`	No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. ECCV (4) Makoto Yamada, Leonid Sigal, Michalis Raptis
2012	J	`jnl`	Shared Kernel Information Embedding for Discriminative Inference. IEEE Trans. Pattern Anal. Mach. Intell. Roland Memisevic, Leonid Sigal, David J. Fleet
2012	A*	`conf`	Social roles in hierarchical models for human activity recognition. CVPR Tian Lan, Leonid Sigal, Greg Mori
2012	J	`jnl`	Video-based 3D motion capture through biped control. ACM Trans. Graph. Marek Vondrak, Leonid Sigal, Jessica K. Hodgins, Odest Chadwicke Jenkins
2011	—	`ch.`	Articulated Pose Estimation and Tracking: Introduction. Visual Analysis of Humans Leonid Sigal
2011	—	`ch.`	Benchmark Datasets for Pose Estimation and Tracking. Visual Analysis of Humans Mykhaylo Andriluka, Leonid Sigal, Michael J. Black
2011	—	`conf`	Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. NIPS Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain A. Matthews, Rob Fergus
2011	B	`conf`	Inferring 3D body pose using variational semi-parametric regression. ICIP Yan Tian, Yonghua Jia, Yuan Shi, Yong Liu, Hao Ji, Leonid Sigal
2011	J	`jnl`	Motion capture from body-mounted cameras. ACM Trans. Graph. Takaaki Shiratori, Hyun Soo Park, Leonid Sigal, Yaser Sheikh, Jessica K. Hodgins
2011	—	`book`	Visual Analysis of Humans - Looking at People. Thomas B. Moeslund, Adrian Hilton, Volker Krüger, Leonid Sigal
2010	A*	`conf`	Dynamical binary latent variable models for 3D human pose tracking. CVPR Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton
2010	J	`jnl`	Guest Editorial: State of the Art in Image- and Video-Based Human Pose and Motion Estimation. Int. J. Comput. Vis. Leonid Sigal, Michael J. Black
2010	—	`conf`	Human Attributes from 3D Pose Tracking. ECCV (3) Leonid Sigal, David J. Fleet, Nikolaus F. Troje, Micha Livne
2010	J	`jnl`	HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion. Int. J. Comput. Vis. Leonid Sigal, Alexandru O. Balan, Michael J. Black
2010	—	`conf`	Latent Gaussian Mixture Regression for Human Pose Estimation. ACCV (3) Yan Tian, Leonid Sigal, Hernán Badino, Fernando De la Torre, Yong Liu
2010	J	`jnl`	Stable spaces for real-time clothing. ACM Trans. Graph. Edilson de Aguiar, Leonid Sigal, Adrien Treuille, Jessica K. Hodgins
2010	—	`ch.`	Video-Based People Tracking. Handbook of Ambient Intelligence and Smart Environments Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2009	A*	`conf`	Estimating contact dynamics. ICCV Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2009	A*	`conf`	Shared Kernel Information Embedding for discriminative inference. CVPR Leonid Sigal, Roland Memisevic, David J. Fleet
2008	—	`—`	"Continuous-state Graphical Models for Object Localization, Pose Estimation and Tracking". Leonid Sigal
2008	A*	`conf`	Physical simulation for probabilistic motion tracking. CVPR Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenkins
2007	—	`conf`	Combined discriminative and generative articulated pose and non-rigid shape estimation. NIPS Leonid Sigal, Alexandru O. Balan, Michael J. Black
2007	A*	`conf`	Detailed Human Shape and Pose from Images. CVPR Alexandru O. Balan, Leonid Sigal, Michael J. Black, James E. Davis, Horst W. Haussecker
2007	A*	`conf`	Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape. ICCV Alexandru O. Balan, Michael J. Black, Horst W. Haussecker, Leonid Sigal
2006	—	`conf`	4GHz+ low-latency fixed-point and binary floating-point execution units for the POWER6 processor. ISSCC Brian W. Curran, Bradley D. McCredie, Leonid Sigal, Eric M. Schwarz, Bruce M. Fleischer, Yuen H. Chan, D. Webber, Vaden Vaden, A. Goyal
2006	—	`conf`	Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation. CVPR (2) Leonid Sigal, Michael J. Black
2006	—	`conf`	Predicting 3D People from 2D Pictures. AMDO Leonid Sigal, Michael J. Black
2004	—	`conf`	3D Human Limb Detection using Space Carving and Multi-View Eigen Models. CVPR Workshops Sidharth Bhatia, Leonid Sigal, Michael Isard, Michael J. Black
2004	—	`conf`	Gibbs Likelihoods for Bayesian Tracking. CVPR (1) Stefan Roth, Leonid Sigal, Michael J. Black
2004	J	`jnl`	Skin Color-Based Video Segmentation under Time-Varying Illumination. IEEE Trans. Pattern Anal. Mach. Intell. Leonid Sigal, Stan Sclaroff, Vassilis Athitsos
2004	—	`conf`	Tracking Complex Objects Using Graphical Object Models. IWCM Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J. Black
2004	—	`conf`	Tracking Loose-Limbed People. CVPR (1) Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard
2003	—	`conf`	Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. NIPS Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black
2002	—	`conf`	Implicit Probabilistic Models of Human Motion for Synthesis and Tracking. ECCV (1) Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
2001	A*	`conf`	3D Hand Pose Reconstruction Using Specialized Mappings. ICCV Rómer Rosales, Vassilis Athitsos, Leonid Sigal, Stan Sclaroff
2000	A*	`conf`	Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination. CVPR Leonid Sigal, Stan Sclaroff, Vassilis Athitsos