Pietro Perona - RankMe

350 papers A* 86A 20B 8C 2Journal 134Unranked 91

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models. CoRR Raphi Kang, Hongqiao Chen, Georgia Gkioxari, Pietro Perona
2026	J	`jnl`	Unsupervised Representation Learning From Sparse Transformation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2025	J	`jnl`	A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification. Int. J. Comput. Vis. Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona
2025	A	`conf`	A Rapid Test for Accuracy and Bias of Face Recognition Technology. WACV Manuel Knott, Ignacio Serna, Ethan Mann, Pietro Perona
2025	J	`jnl`	A Rapid Test for Accuracy and Bias of Face Recognition Technology. CoRR Manuel Knott, Ignacio Serna, Ethan Mann, Pietro Perona
2025	J	`jnl`	Align and Distill: Unifying and Improving Domain Adaptive Object Detection. Trans. Mach. Learn. Res. Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn
2025	J	`jnl`	Counting Fish with Temporal Representations of Sonar Video. CoRR Kai Van Brunt, Justin Kay, Timm Haucke, Pietro Perona, Grant Van Horn, Sara Beery
2025	J	`jnl`	Diffusion-Based Action Recognition Generalizes to Untrained Domains. CoRR Rogério Guimarães, Frank Xiao, Pietro Perona, Markus Marks
2025	J	`jnl`	Is CLIP ideal? No. Can we fix it? Yes! CoRR Raphi Kang, Yue Song, Georgia Gkioxari, Pietro Perona
2025	J	`jnl`	Kuramoto Orientation Diffusion Models. CoRR Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling
2025	J	`jnl`	Langevin Flows for Modeling Neural Latent Dynamics. CoRR Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2025	A	`conf`	Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision. WACV Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks
2025	A*	`conf`	Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing. CVPR Xuanbai Chen, Xiang Xu, Zhihua Li, Tianchen Zhao, Pietro Perona, Qin Zhang, Yifan Xing
2025	J	`jnl`	Representational Difference Explanations. CoRR Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
2025	A*	`conf`	Representational Similarity via Interpretable Visual Concepts. ICLR Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
2025	J	`jnl`	Representational Similarity via Interpretable Visual Concepts. CoRR Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
2025	J	`jnl`	SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance. CoRR Suzanne Stathatos, Michael Hobley, Markus Marks, Pietro Perona
2025	A	`conf`	Self-Supervised Incremental Learning of Object Representations from Arbitrary Image Sets. WACV George Leotescu, Alin-Ionut Popa, Diana Grigore, Daniel Voinea, Pietro Perona
2025	—	`conf`	Social Perception of Faces in a Vision-Language Model. FAccT Carina I. Hausladen, Manuel Knott, Colin F. Camerer, Pietro Perona
2025	J	`jnl`	TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy. CoRR Héctor Carrión, Yutong Bai, Víctor A. Hernández Castro, Kishan Panaganti, Ayush Zenith, Matthew Trang, Tony Zhang, Pietro Perona, Jitendra Malik
2025	J	`jnl`	Who's Asking? Evaluating LLM Robustness to Inquiry Personas in Factual Question Answering. CoRR Nil-Jana Akpinar, Chia-Jung Lee, Vanessa Murdock, Pietro Perona
2024	J	`jnl`	A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification. CoRR Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona
2024	—	`conf`	A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation. ECCV (88) Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona
2024	J	`jnl`	A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation. CoRR Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona
2024	J	`jnl`	Align and Distill: Unifying and Improving Domain Adaptive Object Detection. CoRR Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn
2024	J	`jnl`	Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations. Int. J. Comput. Vis. Riccardo Fogliato, Pratik Patil, Pietro Perona
2024	—	`conf`	Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. FAccT Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth
2024	J	`jnl`	Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. CoRR Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth
2024	J	`jnl`	Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision. CoRR Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks
2024	J	`jnl`	Less is More: Discovering Concise Network Explanations. CoRR Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona
2024	J	`jnl`	On the Effect of Image Resolution on Semantic Segmentation. CoRR Ritambhara Singh, Abhishek Jain, Pietro Perona, Shivani Agarwal, Junfeng Yang
2024	J	`jnl`	Social perception of faces in a vision-language model. CoRR Carina I. Hausladen, Manuel Knott, Colin F. Camerer, Pietro Perona
2024	A*	`conf`	Text-Image Alignment for Diffusion-Based Perception. CVPR Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona
2024	J	`jnl`	Unsupervised Representation Learning from Sparse Transformation Analysis. CoRR Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2023	A*	`conf`	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
2023	A*	`conf`	Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. ICCV Hao Liang, Pietro Perona, Guha Balakrishnan
2023	J	`jnl`	Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. CoRR Hao Liang, Pietro Perona, Guha Balakrishnan
2023	J	`jnl`	Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations. CoRR Riccardo Fogliato, Pratik Patil, Pietro Perona
2023	A*	`conf`	MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior. ICML Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy
2023	A*	`conf`	Spatial Implicit Neural Representations for Global-Scale Species Mapping. ICML Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
2023	J	`jnl`	Spatial Implicit Neural Representations for Global-Scale Species Mapping. CoRR Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
2023	J	`jnl`	Text-image Alignment for Diffusion-based Perception. CoRR Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona
2023	—	`conf`	Understanding Label Bias in Single Positive Multi-Label Learning. Tiny Papers @ ICLR Julio Arroyo, Pietro Perona, Elijah Cole
2023	J	`jnl`	Understanding Label Bias in Single Positive Multi-Label Learning. CoRR Julio Arroyo, Pietro Perona, Elijah Cole
2022	J	`jnl`	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
2022	A*	`conf`	Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions. CVPR De'Aira Bryant, Siqi Deng, Nashlie Sephus, Wei Xia, Pietro Perona
2022	J	`jnl`	Near Perfect GAN Inversion. CoRR Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez
2022	—	`conf`	On Label Granularity and Object Localization. ECCV (10) Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022	J	`jnl`	On Label Granularity and Object Localization. CoRR Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022	J	`jnl`	Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. CoRR Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
2022	—	`conf`	Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. ECCV (17) Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
2022	A*	`conf`	Self-Supervised Keypoint Discovery in Behavioral Videos. CVPR Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
2022	—	`conf`	The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. ECCV (8) Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
2022	J	`jnl`	The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. CoRR Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
2022	J	`jnl`	The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior. CoRR Jennifer J. Sun, Andrew Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Zachary Partridge, Alice Robie, Catherine E. Schretter, Chao Sun, Keith Sheppard, Param Uttarwar, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy
2022	A*	`conf`	Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. CVPR Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona
2022	J	`jnl`	Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. CoRR Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona
2022	—	`conf`	Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition. ECCV (13) Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona
2022	—	`conf`	Visual Knowledge Tracing. ECCV (25) Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
2022	J	`jnl`	Visual Knowledge Tracing. CoRR Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
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	J	`jnl`	Matched sample selection with GANs for mitigating attribute confounding. CoRR Chandan Singh, Guha Balakrishnan, Pietro Perona
2021	A*	`conf`	Multi-Label Learning From Single Positive Labels. CVPR Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
2021	J	`jnl`	Multi-Label Learning from Single Positive Labels. CoRR Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
2021	J	`jnl`	Self-Supervised Keypoint Discovery in Behavioral Videos. CoRR Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
2021	A*	`conf`	Sequence-to-Sequence Contrastive Learning for Text Recognition. CVPR Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona
2021	C	`conf`	Species Distribution Modeling for Machine Learning Practitioners: A Review. COMPASS Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner
2021	J	`jnl`	Species Distribution Modeling for Machine Learning Practitioners: A Review. CoRR Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner
2021	A*	`conf`	Task Programming: Learning Data Efficient Behavior Representations. CVPR Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona
2021	—	`conf`	The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. NeurIPS Datasets and Benchmarks Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
2021	J	`jnl`	The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. CoRR Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
2021	J	`jnl`	Weakly Supervised Keypoint Discovery. CoRR Serim Ryou, Pietro Perona
2020	J	`jnl`	A Number Sense as an Emergent Property of the Manipulating Brain. CoRR Neehar Kondapaneni, Pietro Perona
2020	J	`jnl`	Geocoding of trees from street addresses and street-level images. CoRR Daniel Laumer, Nico Lang, Natalie van Doorn, Oisin Mac Aodha, Pietro Perona, Jan Dirk Wegner
2020	J	`jnl`	HMM-guided frame querying for bandwidth-constrained video search. CoRR Bhairav Chidambaram, Mason McGill, Pietro Perona
2020	A*	`conf`	Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. CVPR Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
2020	J	`jnl`	Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. CoRR Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
2020	J	`jnl`	Sequence-to-Sequence Contrastive Learning for Text Recognition. CoRR Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona
2020	A	`conf`	Synthetic Examples Improve Generalization for Rare Classes. WACV Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona
2020	J	`jnl`	Task Programming: Learning Data Efficient Behavior Representations. CoRR Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona
2020	—	`conf`	Towards Causal Benchmarking of Bias in Face Analysis Algorithms. ECCV (18) Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
2020	J	`jnl`	Towards causal benchmarking of bias in face analysis algorithms. CoRR Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
2019	A*	`conf`	Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty. ICCV Serim Ryou, Seong-Gyun Jeong, Pietro Perona
2019	J	`jnl`	Anchor Loss: Modulating Loss Scale based on Prediction Difficulty. CoRR Serim Ryou, Seong-Gyun Jeong, Pietro Perona
2019	J	`jnl`	From Google Maps to a Fine-Grained Catalog of Street trees. CoRR Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona
2019	J	`jnl`	PanDA: Panoptic Data Augmentation. CoRR Yang Liu, Pietro Perona, Markus Meister
2019	A*	`conf`	Presence-Only Geographical Priors for Fine-Grained Image Classification. ICCV Oisin Mac Aodha, Elijah Cole, Pietro Perona
2019	J	`jnl`	Presence-Only Geographical Priors for Fine-Grained Image Classification. CoRR Oisin Mac Aodha, Elijah Cole, Pietro Perona
2019	J	`jnl`	Synthetic Examples Improve Generalization for Rare Classes. CoRR Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona
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	A*	`conf`	Teaching Multiple Concepts to a Forgetful Learner. NeurIPS Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2019	J	`jnl`	The iWildCam 2018 Challenge Dataset. CoRR Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona
2019	J	`jnl`	The iWildCam 2019 Challenge Dataset. CoRR Sara Beery, Dan Morris, Pietro Perona
2018	A*	`conf`	Context Embedding Networks. CVPR Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
2018	—	`conf`	DDT: Deep Driving Tree for Proactive Planning in Interactive Scenarios. ITSC Masaki Okamoto, Pietro Perona, Abdelaziz Khiat
2018	J	`jnl`	Fast Conditional Independence Test for Vector Variables with Large Sample Sizes. CoRR Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
2018	A	`conf`	It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. BMVC Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona
2018	J	`jnl`	It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. CoRR Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona
2018	A*	`conf`	Lean Multiclass Crowdsourcing. CVPR Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie, Pietro Perona
2018	A	`conf`	Near-Optimal Machine Teaching via Explanatory Teaching Sets. AISTATS Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue
2018	A	`conf`	Parsing Pose of People with Interaction. BMVC Serim Ryou, Pietro Perona
2018	—	`conf`	Recognition in Terra Incognita. ECCV (16) Sara Beery, Grant Van Horn, Pietro Perona
2018	J	`jnl`	Recognition in Terra Incognita. CoRR Sara Beery, Grant Van Horn, Pietro Perona
2018	A*	`conf`	Teaching Categories to Human Learners With Visual Explanations. CVPR Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018	J	`jnl`	Teaching Categories to Human Learners with Visual Explanations. CoRR Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018	J	`jnl`	Teaching Multiple Concepts to Forgetful Learners. CoRR Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2018	A*	`conf`	The INaturalist Species Classification and Detection Dataset. CVPR Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
2018	A*	`conf`	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. NeurIPS Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2018	J	`jnl`	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. CoRR Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2017	A*	`conf`	A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency. ICML Ron Appel, Pietro Perona
2017	J	`jnl`	Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation. CoRR Matteo Ruggero Ronchi, Pietro Perona
2017	A*	`conf`	Benchmarking and Error Diagnosis in Multi-instance Pose Estimation. ICCV Matteo Ruggero Ronchi, Pietro Perona
2017	J	`jnl`	Context Embedding Networks. CoRR Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
2017	A*	`conf`	Deciding How to Decide: Dynamic Routing in Artificial Neural Networks. ICML Mason McGill, Pietro Perona
2017	J	`jnl`	Deciding How to Decide: Dynamic Routing in Artificial Neural Networks. CoRR Mason McGill, Pietro Perona
2017	A*	`conf`	Lean Crowdsourcing: Combining Humans and Machines in an Online System. CVPR Steve Branson, Grant Van Horn, Pietro Perona
2017	—	`conf`	Learning Recurrent Representations for Hierarchical Behavior Modeling. ICLR (Poster) Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona
2017	A*	`conf`	Seeing into Darkness: Scotopic Visual Recognition. CVPR Bo Chen, Pietro Perona
2017	J	`jnl`	The Devil is in the Tails: Fine-grained Classification in the Wild. CoRR Grant Van Horn, Pietro Perona
2017	J	`jnl`	The iNaturalist Challenge 2017 Dataset. CoRR Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
2016	A*	`conf`	Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees. CVPR Jan Dirk Wegner, Steve Branson, David Hall, Konrad Schindler, Pietro Perona
2016	J	`jnl`	Estimating Causal Direction and Confounding of Two Discrete Variables. CoRR Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona
2016	J	`jnl`	Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art. CoRR David Hall, Pietro Perona
2016	J	`jnl`	Improved Multi-Class Cost-Sensitive Boosting via Estimation of the Minimum-Risk Class. CoRR Ron Appel, Xavier P. Burgos-Artizzu, Pietro Perona
2016	J	`jnl`	Learning recurrent representations for hierarchical behavior modeling. CoRR Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona
2016	A	`conf`	Multi-Level Cause-Effect Systems. AISTATS Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona
2016	J	`jnl`	Seeing into Darkness: Scotopic Visual Recognition. CoRR Bo Chen, Pietro Perona
2016	A	`conf`	Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. UAI Krzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, Pietro Perona
2016	J	`jnl`	Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. CoRR Krzysztof Chalupka, Tobias Bischoff, Pietro Perona, Frederick Eberhardt
2016	J	`jnl`	Vision without the Image. Sensors Bo Chen, Pietro Perona
2016	J	`jnl`	Visipedia circa 2015. Pattern Recognit. Lett. Serge J. Belongie, Pietro Perona
2015	A*	`conf`	Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. CVPR Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, Serge J. Belongie
2015	A	`conf`	Describing Common Human Visual Actions in Images. BMVC Matteo Ruggero Ronchi, Pietro Perona
2015	J	`jnl`	Describing Common Human Visual Actions in Images. CoRR Matteo Ruggero Ronchi, Pietro Perona
2015	A*	`conf`	Fine-grained classification of pedestrians in video: Benchmark and state of the art. CVPR David Hall, Pietro Perona
2015	J	`jnl`	Generalized Regressive Motion: a Visual Cue to Collision. CoRR Krzysztof Chalupka, Michael Dickinson, Pietro Perona
2015	J	`jnl`	Multi-Level Cause-Effect Systems. CoRR Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
2015	—	`conf`	Scotopic Visual Recognition. ICCV Workshops Bo Chen, Pietro Perona
2015	B	`conf`	Tropel: Crowdsourcing Detectors with Minimal Training. HCOMP Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays
2015	A	`conf`	Visual Causal Feature Learning. UAI Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
2014	A*	`conf`	Active Annotation Translation. CVPR Steve Branson, Kristjan Eldjarn Hjorleifsson, Pietro Perona
2014	J	`jnl`	Bird Species Categorization Using Pose Normalized Deep Convolutional Nets. CoRR Steve Branson, Grant Van Horn, Serge J. Belongie, Pietro Perona
2014	—	`conf`	Detecting Social Actions of Fruit Flies. ECCV (2) Eyrun Eyjolfsdottir, Steve Branson, Xavier P. Burgos-Artizzu, Eric D. Hoopfer, Jonathan Schor, David J. Anderson, Pietro Perona
2014	—	`conf`	Distance Estimation of an Unknown Person from a Portrait. ECCV (1) Xavier P. Burgos-Artizzu, Matteo Ruggero Ronchi, Pietro Perona
2014	J	`jnl`	Fast Feature Pyramids for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Dollár, Ron Appel, Serge J. Belongie, Pietro Perona
2014	A*	`conf`	From Categories to Individuals in Real Time - A Unified Boosting Approach. CVPR David Hall, Pietro Perona
2014	A	`conf`	Hierarchical Cascade of Classifiers for Efficient Poselet Evaluation. BMVC Bo Chen, Pietro Perona, Lubomir D. Bourdev
2014	A	`conf`	Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets. BMVC Steve Branson, Grant Van Horn, Pietro Perona, Serge J. Belongie
2014	—	`conf`	Microsoft COCO: Common Objects in Context. ECCV (5) Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	Microsoft COCO: Common Objects in Context. CoRR Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
2014	—	`conf`	Online, Real-Time Tracking Using a Category-to-Individual Detector. ECCV (1) David Hall, Pietro Perona
2014	J	`jnl`	Quantized response times are a signature of a neuronal bottleneck in decision. Frontiers Comput. Neurosci. Pietro Perona
2014	—	`conf`	Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. ACCV (4) Michael Maire, Stella X. Yu, Pietro Perona
2014	J	`jnl`	Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. CoRR Michael Maire, Stella X. Yu, Pietro Perona
2014	A*	`conf`	Similarity Comparisons for Interactive Fine-Grained Categorization. CVPR Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie
2014	J	`jnl`	The Ignorant Led by the Blind: A Hybrid Human-Machine Vision System for Fine-Grained Categorization. Int. J. Comput. Vis. Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, Serge J. Belongie
2014	J	`jnl`	Visual Causal Feature Learning. CoRR Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
2013	A*	`conf`	A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration. CVPR Peter Welinder, Max Welling, Pietro Perona
2013	J	`jnl`	Detecting Motion through Dynamic Refraction. IEEE Trans. Pattern Anal. Mach. Intell. Marina Alterman, Yoav Y. Schechner, Pietro Perona, Joseph Shamir
2013	A	`conf`	Hierarchical Scene Annotation. BMVC Michael Maire, Stella X. Yu, Pietro Perona
2013	A	`conf`	Merging Pose Estimates Across Space and Time. BMVC Xavier P. Burgos-Artizzu, David Hall, Pietro Perona, Piotr Dollár
2013	J	`jnl`	Progress in visual categorization: technical perspective. Commun. ACM Pietro Perona
2013	—	`conf`	Quickly Boosting Decision Trees - Pruning Underachieving Features Early. ICML (3) Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona
2013	A*	`conf`	Robust Face Landmark Estimation under Occlusion. ICCV Xavier P. Burgos-Artizzu, Pietro Perona, Piotr Dollár
2012	A	`conf`	CompactKdt: Compact signatures for accurate large scale object recognition. WACV Mohamed Aly, Mario E. Munich, Pietro Perona
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I ECCV (1) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II ECCV (2) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III ECCV (3) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV ECCV (4) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V ECCV (5) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI ECCV (6) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII ECCV (7) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	J	`jnl`	Pedestrian Detection: An Evaluation of the State of the Art. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona
2012	J	`jnl`	Semisupervised Classifier Evaluation and Recalibration CoRR Peter Welinder, Max Welling, Pietro Perona
2012	A*	`conf`	Social behavior recognition in continuous video. CVPR Xavier P. Burgos-Artizzu, Piotr Dollár, Dayu Lin, David J. Anderson, Pietro Perona
2012	J	`jnl`	Unsupervised Learning of Categorical Segments in Image Collections. IEEE Trans. Pattern Anal. Mach. Intell. Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
2011	—	`conf`	Bag of Words for Large Scale Object Recognition - Properties and Benchmark. VISAPP Mohamed Aly, Mario E. Munich, Pietro Perona
2011	—	`conf`	Crowdclustering. NIPS Ryan Gomes, Peter Welinder, Andreas Krause, Pietro Perona
2011	A	`conf`	Distributed Kd-Trees for Ultra Large Scale Object Recognition. BMVC Mohamed Aly, Mario E. Munich, Pietro Perona
2011	A	`conf`	Indexing in large scale image collections: Scaling properties and benchmark. WACV Mohamed Aly, Mario E. Munich, Pietro Perona
2011	J	`jnl`	Measuring and Predicting Object Importance. Int. J. Comput. Vis. Merrielle Spain, Pietro Perona
2011	A*	`conf`	Multiclass recognition and part localization with humans in the loop. ICCV Catherine Wah, Steve Branson, Pietro Perona, Serge J. Belongie
2011	A*	`conf`	Object detection and segmentation from joint embedding of parts and pixels. ICCV Michael Maire, Stella X. Yu, Pietro Perona
2011	—	`conf`	Predicting response time and error rates in visual search. NIPS Bo Chen, Vidhya Navalpakkam, Pietro Perona
2011	A*	`conf`	Strong supervision from weak annotation: Interactive training of deformable part models. ICCV Steve Branson, Pietro Perona, Serge J. Belongie
2011	J	`jnl`	Unsupervised Organization of Image Collections: Taxonomies and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Evgeniy Bart, Max Welling, Pietro Perona
2010	A*	`conf`	Cascaded pose regression. CVPR Piotr Dollár, Peter Welinder, Pietro Perona
2010	—	`conf`	Discriminative Clustering by Regularized Information Maximization. NIPS Ryan Gomes, Andreas Krause, Pietro Perona
2010	J	`jnl`	Learning Object Categories From Internet Image Searches. Proc. IEEE Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman
2010	—	`conf`	Online crowdsourcing: Rating annotators and obtaining cost-effective labels. CVPR Workshops Peter Welinder, Pietro Perona
2010	J	`jnl`	Seeing the trees, the forest, and much more. Commun. ACM Pietro Perona
2010	A	`conf`	The Fastest Pedestrian Detector in the West. BMVC Piotr Dollár, Serge J. Belongie, Pietro Perona
2010	—	`conf`	The Multidimensional Wisdom of Crowds. NIPS Peter Welinder, Steve Branson, Serge J. Belongie, Pietro Perona
2010	J	`jnl`	Vision of a Visipedia. Proc. IEEE Pietro Perona
2010	—	`conf`	Visual Recognition with Humans in the Loop. ECCV (4) Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Peter Welinder, Pietro Perona, Serge J. Belongie
2009	B	`conf`	Automatic discovery of image families: Global vs. local features. ICIP Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona
2009	A	`conf`	Integral Channel Features. BMVC Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge J. Belongie
2009	A*	`conf`	Pedestrian detection: A benchmark. CVPR Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona
2009	—	`conf`	Scaling object recognition: Benchmark of current state of the art techniques. ICCV Workshops Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona
2009	—	`conf`	Towards automated large scale discovery of image families. CVPR Workshops Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona
2008	—	`conf`	A Probabilistic Cascade of Detectors for Individual Object Recognition. ECCV (3) Pierre Moreels, Pietro Perona
2008	—	`conf`	A walk through the web's video clips. CVPR Workshops Sara Zanetti, Lihi Zelnik-Manor, Pietro Perona
2008	—	`conf`	Entropy-based active learning for object recognition. CVPR Workshops Alex Holub, Pietro Perona, Michael C. Burl
2008	J	`jnl`	Guest Editorial. Int. J. Comput. Vis. William T. Freeman, Pietro Perona, Bernhard Schölkopf
2008	J	`jnl`	Hybrid Generative-Discriminative Visual Categorization. Int. J. Comput. Vis. Alex Holub, Max Welling, Pietro Perona
2008	A*	`conf`	Incremental learning of nonparametric Bayesian mixture models. CVPR Ryan Gomes, Max Welling, Pietro Perona
2008	A*	`conf`	Learning and using taxonomies for fast visual categorization. CVPR Gregory Griffin, Pietro Perona
2008	A*	`conf`	Memory bounded inference in topic models. ICML Ryan Gomes, Max Welling, Pietro Perona
2008	—	`conf`	Multiple Component Learning for Object Detection. ECCV (2) Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu
2008	—	`conf`	Some Objects Are More Equal Than Others: Measuring and Predicting Importance. ECCV (1) Merrielle Spain, Pietro Perona
2008	B	`conf`	Unsupervised clustering for google searches of celebrity images. FG Alex Holub, Pierre Moreels, Pietro Perona
2008	—	`conf`	Unsupervised learning of categorical segments in image collections. CVPR Workshops Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
2008	A*	`conf`	Unsupervised learning of visual taxonomies. CVPR Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling
2007	J	`jnl`	3D Reconstruction by Shadow Carving: Theory and Practical Evaluation. Int. J. Comput. Vis. Silvio Savarese, Marco Andreetto, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona
2007	J	`jnl`	Automatic recognition of biological particles in microscopic images. Pattern Recognit. Lett. Marc'Aurelio Ranzato, P. E. Taylor, James M. House, R. C. Flagan, Yann LeCun, Pietro Perona
2007	—	`conf`	Automating joiners. NPAR Lihi Zelnik-Manor, Pietro Perona
2007	—	`conf`	Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning. Robotics: Science and Systems Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2007	J	`jnl`	Evaluation of Features Detectors and Descriptors based on 3D Objects. Int. J. Comput. Vis. Pierre Moreels, Pietro Perona
2007	A*	`conf`	Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. CVPR Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2007	J	`jnl`	Learning and prediction of slip from visual information. J. Field Robotics Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2007	J	`jnl`	Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Comput. Vis. Image Underst. Li Fei-Fei, Robert Fergus, Pietro Perona
2007	A*	`conf`	Learning slip behavior using automatic mechanical supervision. ICRA Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2007	A*	`conf`	Non-Parametric Probabilistic Image Segmentation. ICCV Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
2007	A*	`conf`	On Constructing Facial Similarity Maps. CVPR Alex Holub, Yun-hsueh Liu, Pietro Perona
2007	J	`jnl`	Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. Int. J. Comput. Vis. Robert Fergus, Pietro Perona, Andrew Zisserman
2006	—	`conf`	A Sparse Object Category Model for Efficient Learning and Complete Recognition. Toward Category-Level Object Recognition Robert Fergus, Pietro Perona, Andrew Zisserman
2006	—	`conf`	Carving from Ray-Tracing Constraints: IRT-Carving. 3DPVT Marco Andreetto, Silvio Savarese, Pietro Perona
2006	—	`conf`	Graph-Based Visual Saliency. NIPS Jonathan Harel, Christof Koch, Pietro Perona
2006	A*	`conf`	Learning to Predict Slip for Ground Robots. ICRA Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Gabe Sibley, Pietro Perona
2006	J	`jnl`	One-Shot Learning of Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. Li Fei-Fei, Robert Fergus, Pietro Perona
2006	—	`conf`	Slip Prediction Using Visual Information. Robotics: Science and Systems Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona
2005	—	`conf`	A Bayesian Hierarchical Model for Learning Natural Scene Categories. CVPR (2) Li Fei-Fei, Pietro Perona
2005	—	`conf`	A Discriminative Framework for Modelling Object Classes. CVPR (1) Alex Holub, Pietro Perona
2005	—	`conf`	A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. CVPR (1) Robert Fergus, Pietro Perona, Andrew Zisserman
2005	—	`conf`	Beyond Pairwise Clustering. CVPR (2) Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pietro Perona, David J. Kriegman, Serge J. Belongie
2005	A*	`conf`	Combining Generative Models and Fisher Kernels for Object Recognition. ICCV Alex Holub, Max Welling, Pietro Perona
2005	A*	`conf`	Evaluation of Features Detectors and Descriptors Based on 3D Objects. ICCV Pierre Moreels, Pietro Perona
2005	—	`conf`	Hybrid Models for Human Motion Recognition. CVPR (1) Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
2005	A*	`conf`	Learning Object Categories from Google's Image Search. ICCV Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman
2005	J	`jnl`	Local Shape from Mirror Reflections. Int. J. Comput. Vis. Silvio Savarese, Min Chen, Pietro Perona
2005	—	`conf`	Pruning Training Sets for Learning of Object Categories. CVPR (1) Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Perona
2005	J	`jnl`	Selective visual attention enables learning and recognition of multiple objects in cluttered scenes. Comput. Vis. Image Underst. Dirk B. Walther, Ueli Rutishauser, Christof Koch, Pietro Perona
2005	A*	`conf`	Squaring the Circles in Panoramas. ICCV Lihi Zelnik-Manor, Gabriele Peters, Pietro Perona
2004	—	`conf`	A Visual Category Filter for Google Images. ECCV (1) Robert Fergus, Pietro Perona, Andrew Zisserman
2004	—	`conf`	A taxonomy of visual recognition. VMV Pietro Perona
2004	—	`conf`	Common-Frame Model for Object Recognition. NIPS Pierre Moreels, Pietro Perona
2004	—	`conf`	Is Bottom-Up Attention Useful for Object Recognition? CVPR (2) Ueli Rutishauser, Dirk B. Walther, Christof Koch, Pietro Perona
2004	—	`conf`	Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories. CVPR Workshops Li Fei-Fei, Rob Fergus, Pietro Perona
2004	—	`conf`	Recognition by Probabilistic Hypothesis Construction. ECCV (1) Pierre Moreels, Michael Maire, Pietro Perona
2004	—	`conf`	Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid. ECCV (3) Silvio Savarese, Min Chen, Pietro Perona
2004	—	`conf`	Sampling Methods for Unsupervised Learning. NIPS Robert Fergus, Andrew Zisserman, Pietro Perona
2004	—	`conf`	Self-Tuning Spectral Clustering. NIPS Lihi Zelnik-Manor, Pietro Perona
2004	—	`conf`	What do reflections tell us about the shape of a mirror? APGV Silvio Savarese, Li Fei-Fei, Pietro Perona
2003	A*	`conf`	A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. ICCV Li Fei-Fei, Robert Fergus, Pietro Perona
2003	—	`conf`	An Improved Scheme for Detection and Labelling in Johansson Displays. NIPS Claudio Fanti, Marzia Polito, Pietro Perona
2003	—	`conf`	Classification of human actions into dynamics based primitives with application to drawing tasks. ECC Domitilla Del Vecchio, Richard M. Murray, Pietro Perona
2003	J	`jnl`	Decomposition of human motion into dynamics-based primitives with application to drawing tasks. Autom. Domitilla Del Vecchio, Richard M. Murray, Pietro Perona
2003	—	`conf`	Mutual Boosting for Contextual Inference. NIPS Michael Fink, Pietro Perona
2003	—	`conf`	Object Class Recognition by Unsupervised Scale-Invariant Learning. CVPR (2) Robert Fergus, Pietro Perona, Andrew Zisserman
2003	C	`conf`	Segmentation of human motion into dynamics based primitives with application to drawing tasks. ACC Domitilla Del Vecchio, Richard M. Murray, Pietro Perona
2003	—	`conf`	The Emergence of Visual Categories - A Computational Perspective. SCIA Pietro Perona
2003	J	`jnl`	Unsupervised Learning of Human Motion. IEEE Trans. Pattern Anal. Mach. Intell. Yang Song, Luis Goncalves, Pietro Perona
2003	J	`jnl`	Visual Identification by Signature Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Mario E. Munich, Pietro Perona
2002	—	`conf`	A Digital Antennal Lobe for Pattern Equalization: Analysis and Design. NIPS Alex Holub, Gilles Laurent, Pietro Perona
2002	—	`conf`	Human Action Recognition By Sequence of Movelet Codewords. 3DPVT Xiaolin Feng, Pietro Perona
2002	—	`conf`	Implementation of a Shadow Carving System for Shape Capture. 3DPVT Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona
2002	—	`conf`	Local Analysis for 3D Reconstruction of Specular Surfaces - Part II. ECCV (2) Silvio Savarese, Pietro Perona
2002	—	`conf`	Second Order Local Analysis for 3D Reconstruction of Specular Surfaces. 3DPVT Silvio Savarese, Min Chen, Pietro Perona
2002	J	`jnl`	Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics. J. Vis. Commun. Image Represent. Olivier D. Faugeras, Pietro Perona, Guillermo Sapiro
2002	J	`jnl`	Visual Input for Pen-Based Computers. IEEE Trans. Pattern Anal. Mach. Intell. Mario E. Munich, Pietro Perona
2001	—	`conf`	Grouping and dimensionality reduction by locally linear embedding. NIPS Marzia Polito, Pietro Perona
2001	—	`conf`	Learning Probabilistic Structure for Human Motion Detection. CVPR (2) Yang Song, Luis Goncalves, Pietro Perona
2001	—	`conf`	Local Analysis for 3D Reconstruction of Specular Surfaces. CVPR (2) Silvio Savarese, Pietro Perona
2001	J	`jnl`	Monocular Perception of Biological Motion in Johansson Displays. Comput. Vis. Image Underst. Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona
2001	A*	`conf`	Shadow Carving. ICCV Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona
2001	—	`conf`	Unsupervised Learning of Human Motion Models. NIPS Yang Song, Luis Goncalves, Pietro Perona
2000	—	`conf`	A Computational Model for Motion Detection and Direction Discrimination in Humans. Workshop on Human Motion Yang Song, Pietro Perona
2000	J	`jnl`	A system for real-time 2-D feature detection based on field programmable gate arrays. Integr. Comput. Aided Eng. Arrigo Benedetti, Pietro Perona
2000	A*	`conf`	An Intelligent Vision-Only Operator Interface for Dexterous Robots. ICRA Paolo Fiorini, Gene Chalfant, Yuichi Tsumaki, Enrico Di Bernardo, Pietro Perona
2000	J	`jnl`	Bayesian reasoning on qualitative descriptions from images and speech. Image Vis. Comput. Gudrun Socher, Gerhard Sagerer, Pietro Perona
2000	J	`jnl`	Call for Papers: Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics. J. Vis. Commun. Image Represent. Olivier D. Faugeras, Pietro Perona, Guillermo Sapiro
2000	J	`jnl`	Hazard-free self-timed design: methodology and application. Integr. Comput. Aided Eng. Eric Senn, Pietro Perona
2000	—	`conf`	Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion. ECCV (2) Yang Song, Luis Goncalves, Pietro Perona
2000	J	`jnl`	Special Issue on the Second International Conference on Scale Space Theory in Computer Vision: Guest Editors' Comments. J. Vis. Commun. Image Represent. Olivier D. Faugeras, Mads Nielsen, Pietro Perona, Bart M. ter Haar Romeny, Guillermo Sapiro
2000	A*	`conf`	Towards Automatic Discovery of Object Categories. CVPR Markus Weber, Max Welling, Pietro Perona
2000	A*	`conf`	Towards Detection of Human Motion. CVPR Yang Song, Xiaolin Feng, Pietro Perona
2000	—	`conf`	Unsupervised Learning of Models for Recognition. ECCV (1) Markus Weber, Max Welling, Pietro Perona
2000	B	`conf`	Viewpoint-Invariant Learning and Detection of Human Heads. FG Markus Weber, Wolfgang Einhäuser, Max Welling, Pietro Perona
1999	J	`jnl`	3D Photography Using Shadows in Dual-Space Geometry. Int. J. Comput. Vis. Jean-Yves Bouguet, Pietro Perona
1999	—	`conf`	A novel system architecture for real-time low-level vision. ISCAS (3) Arrigo Benedetti, Pietro Perona
1999	A*	`conf`	Continuous Dynamic Time Warping for Translation-Invariant Curve Alignment with Applications to Signature Verification. ICCV Mario E. Munich, Pietro Perona
1999	A*	`conf`	Monocular Perception of Biological Motion - Detection and Labeling. ICCV Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona
1999	A*	`conf`	Visual Signature Verification Using Affine Arc-Length. CVPR Mario E. Munich, Pietro Perona
1999	A*	`conf`	What Do Planar Shadows Tell About Scene Geometry?. CVPR Jean-Yves Bouguet, Markus Weber, Pietro Perona
1998	A*	`conf`	3D Photography on Your Desk. ICCV Jean-Yves Bouguet, Pietro Perona
1998	—	`conf`	3D photography using shadows. EUSIPCO Jean-Yves Bouguet, Pietro Perona
1998	—	`conf`	A Factorization Approach to Grouping. ECCV (1) Pietro Perona, William T. Freeman
1998	—	`conf`	A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry. ECCV (2) Michael C. Burl, Markus Weber, Pietro Perona
1998	—	`conf`	Camera-Based ID Verification by Signature Tracking. ECCV (1) Mario E. Munich, Pietro Perona
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	J	`jnl`	Efficient deformable filter banks. IEEE Trans. Signal Process. Roberto Manduchi, Pietro Perona, Doug Shy
1998	J	`jnl`	Learning to Recognize Volcanoes on Venus. Mach. Learn. Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele
1998	J	`jnl`	Orientation diffusions. IEEE Trans. Image Process. Pietro Perona
1998	A*	`conf`	Probablistic Affine Invariants for Recognition. CVPR Thomas K. Leung, Michael C. Burl, Pietro Perona
1998	B	`conf`	Reach Out and Touch Space (Motion Learning). FG Luis Goncalves, Enrico Di Bernardo, Pietro Perona
1998	A*	`conf`	Real-Time 2-D Feature Detection on a Reconfigurable Computer. CVPR Arrigo Benedetti, Pietro Perona
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
1998	A*	`conf`	Scene Segmentation from 3D Motion. CVPR Xiaolin Feng, Pietro Perona
1998	A*	`conf`	Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data. CVPR Michael C. Burl, Pietro Perona
1997	J	`jnl`	Motion from Fixation. Real Time Imaging Stefano Soatto, Pietro Perona
1997	A*	`conf`	Orientation diffusions. CVPR Pietro Perona
1996	—	`ch.`	Modeling Subjective Uncertainty in Image Annotation. Advances in Knowledge Discovery and Data Mining Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona
1996	B	`conf`	Monocular tracking of the human arm in 3D: real-time implementation and experiments. ICPR Enrico Di Bernardo, Luis Goncalves, 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`	Recognition of Planar Object Classes. CVPR Michael C. Burl, Pietro Perona
1996	A*	`conf`	Reducing "structure from motion". CVPR Stefano Soatto, Pietro Perona
1996	J	`jnl`	Scale-Space Properties of Quadratic Feature Detectors. IEEE Trans. Pattern Anal. Mach. Intell. Paul Kube, Pietro Perona
1996	—	`conf`	Visual input for pen-based computers. ICIP (2) Mario E. Munich, Pietro Perona
1996	B	`conf`	Visual input for pen-based computers. ICPR Mario E. Munich, Pietro Perona
1995	J	`jnl`	Deformable Kernels for Early Vision. IEEE Trans. Pattern Anal. Mach. Intell. Pietro Perona
1995	A*	`conf`	Dynamic Rigid Motion Estimation from Weak Perspective. ICCV Stefano Soatto, Pietro Perona
1995	A*	`conf`	Finding Faces in Cluttered Scenes Using Labeled Random Graph Matching. ICCV Thomas K. Leung, Michael C. Burl, Pietro Perona
1995	A*	`conf`	Monocular Tracking of the Human Arm in 3D. ICCV Enrico Di Bernardo, Luis Goncalves, Enrico Ursella, Pietro Perona
1995	B	`conf`	Pyramidal implementation of deformable kernels. ICIP Roberto Manduchi, Pietro Perona
1995	A*	`conf`	Visual Navigation Using a Single Camera. ICCV Jean-Yves Bouguet, Pietro Perona
1995	—	`conf`	Visual motion estimation from point features: unified view. ICIP (3) Stefano Soatto, Pietro Perona
1994	—	`ch.`	Anisotropic Diffusion. Geometry-Driven Diffusion in Computer Vision Pietro Perona, Takahiro Shiota, Jitendra Malik
1994	—	`conf`	Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. ICIP (3) Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth
1994	A*	`conf`	Automating the hunt for volcanoes on Venus. CVPR Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth
1994	—	`conf`	Diffusion Networks for On-Chip Image Contrast Normalization. ICIP (1) Pietro Perona, Marco Tartagni
1994	—	`conf`	Dynamic Visual Motion Estimation from Subspace Constraints. ICIP (1) Stefano Soatto, Pietro Perona
1994	—	`conf`	Inferring Ground Truth from Subjective Labelling of Venus Images. NIPS Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi
1994	—	`conf`	Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. KDD Workshop Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona
1994	—	`conf`	Motion Estimation on the Essential Manifold. ECCV (2) Stefano Soatto, Ruggero Frezza, Pietro Perona
1994	A*	`conf`	Overcomplete steerable pyramid filters and rotation invariance. CVPR Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona, Subrata Rakshit, Charles H. Anderson
1994	—	`conf`	Recursive Estimation of Camera Motion from Uncalibrated Image Sequences. ICIP (3) Stefano Soatto, Pietro Perona
1994	—	`conf`	Rotation invariant texture recognition using a steerable pyramid. ICPR (2) Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona
1994	—	`conf`	Scale-space Properties of Quadratic Edge Detectors. ECCV (1) Paul Kube, Pietro Perona
1994	A*	`conf`	X-Y separable pyramid steerable scalable kernels. CVPR Douglas Shy, Pietro Perona
1993	A*	`conf`	Recursive motion and structure estimation with complete error characterization. CVPR Stefano Soatto, Pietro Perona, Ruggero Frezza, Giorgio Picci
1992	A*	`conf`	Boundary Detection in Piecewise Homogeneous Textured Images. ECCV Stefano Casadei, Sanjoy K. Mitter, Pietro Perona
1992	A*	`conf`	Steerable-Scalable Kernels for Edge Detection and Junction Analysis. ECCV Pietro Perona
1992	J	`jnl`	Steerable-scalable kernels for edge detection and junction analysis. Image Vis. Comput. Pietro Perona
1991	A*	`conf`	Deformable kernels for early vision. CVPR Pietro Perona
1990	A*	`conf`	Detecting and localizing edges composed of steps, peaks and roofs. ICCV Pietro Perona, Jitendra Malik
1990	J	`jnl`	Scale-Space and Edge Detection Using Anisotropic Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. Pietro Perona, Jitendra Malik
1989	A*	`conf`	A computational model of texture segmentation. CVPR Jitendra Malik, Pietro Perona