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ORCIDPietro Perona
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- affiliation: California Institute of Technology, Computational Vision Laboratory
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2020 – today
- 2024
[j50]Riccardo Fogliato, Pratik Patil, Pietro Perona:
Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations. Int. J. Comput. Vis. 132(11): 5346-5371 (2024)- [c200]Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona:
Text-Image Alignment for Diffusion-Based Perception. CVPR 2024: 13883-13893 - [c199]Ira Globus-Harris
, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth:
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. FAccT 2024: 529-545 - [i68]Ritambhara Singh, Abhishek Jain, Pietro Perona, Shivani Agarwal, Junfeng Yang:
On the Effect of Image Resolution on Semantic Segmentation. CoRR abs/2402.05398 (2024) - [i67]Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth:
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. CoRR abs/2402.10795 (2024) - [i66]Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn:
Align and Distill: Unifying and Improving Domain Adaptive Object Detection. CoRR abs/2403.12029 (2024) - [i65]Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona:
Less is More: Discovering Concise Network Explanations. CoRR abs/2405.15243 (2024) - [i64]Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona:
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation. CoRR abs/2406.07320 (2024) - [i63]Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona:
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification. CoRR abs/2407.12210 (2024) - [i62]Carina I. Hausladen, Manuel Knott, Colin F. Camerer, Pietro Perona:
Social perception of faces in a vision-language model. CoRR abs/2408.14435 (2024) - [i61]Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks:
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision. CoRR abs/2409.09455 (2024) - 2023
- [c198]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:
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR 2023: 9001-9010 - [c197]Hao Liang, Pietro Perona, Guha Balakrishnan:
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. ICCV 2023: 4954-4964 - [c196]Julio Arroyo, Pietro Perona, Elijah Cole:
Understanding Label Bias in Single Positive Multi-Label Learning. Tiny Papers @ ICLR 2023 - [c195]Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha:
Spatial Implicit Neural Representations for Global-Scale Species Mapping. ICML 2023: 6320-6342 - [c194]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:
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior. ICML 2023: 32936-32990 - [i60]Julio Arroyo, Pietro Perona, Elijah Cole:
Understanding Label Bias in Single Positive Multi-Label Learning. CoRR abs/2305.15584 (2023) - [i59]Riccardo Fogliato, Pratik Patil, Pietro Perona:
Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations. CoRR abs/2306.01198 (2023) - [i58]Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha:
Spatial Implicit Neural Representations for Global-Scale Species Mapping. CoRR abs/2306.02564 (2023) - [i57]Hao Liang, Pietro Perona, Guha Balakrishnan:
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. CoRR abs/2308.05441 (2023) - [i56]Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona:
Text-image Alignment for Diffusion-based Perception. CoRR abs/2310.00031 (2023) - 2022
- [c193]Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona:
Self-Supervised Keypoint Discovery in Behavioral Videos. CVPR 2022: 2161-2170 - [c192]Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona:
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. CVPR 2022: 4594-4603 - [c191]De'Aira Bryant, Siqi Deng, Nashlie Sephus, Wei Xia, Pietro Perona:
Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions. CVPR 2022: 20900-20909 - [c190]Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona:
Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition. ECCV (13) 2022: 289-306 - [c189]Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona:
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. ECCV (8) 2022: 290-311 - [c188]Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha:
Visual Knowledge Tracing. ECCV (25) 2022: 415-431 - [c187]Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona:
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. ECCV (17) 2022: 510-526 - [c186]Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha:
On Label Granularity and Object Localization. ECCV (10) 2022: 604-620 - [i55]Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona:
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. CoRR abs/2201.10423 (2022) - [i54]Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona:
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. CoRR abs/2202.05508 (2022) - [i53]Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez:
Near Perfect GAN Inversion. CoRR abs/2202.11833 (2022) - [i52]Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona:
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. CoRR abs/2207.09295 (2022) - [i51]Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha:
Visual Knowledge Tracing. CoRR abs/2207.10157 (2022) - [i50]Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha:
On Label Granularity and Object Localization. CoRR abs/2207.10225 (2022) - [i49]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:
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior. CoRR abs/2207.10553 (2022) - [i48]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:
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR abs/2212.07401 (2022) - 2021
- [c185]Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic:
Multi-Label Learning From Single Positive Labels. CVPR 2021: 933-942 - [c184]Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CVPR 2021: 2876-2885 - [c183]Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona:
Sequence-to-Sequence Contrastive Learning for Text Recognition. CVPR 2021: 15302-15312 - [c182]Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner:
Species Distribution Modeling for Machine Learning Practitioners: A Review. COMPASS 2021: 329-348 - [c181]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:
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. NeurIPS Datasets and Benchmarks 2021 - [i47]Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR abs/2102.00084 (2021) - [i46]Chandan Singh, Guha Balakrishnan, Pietro Perona:
Matched sample selection with GANs for mitigating attribute confounding. CoRR abs/2103.13455 (2021) - [i45]Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy:
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. CoRR abs/2104.02710 (2021) - [i44]Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic:
Multi-Label Learning from Single Positive Labels. CoRR abs/2106.09708 (2021) - [i43]Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner:
Species Distribution Modeling for Machine Learning Practitioners: A Review. CoRR abs/2107.10400 (2021) - [i42]Serim Ryou, Pietro Perona:
Weakly Supervised Keypoint Discovery. CoRR abs/2109.13423 (2021) - [i41]Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona:
Self-Supervised Keypoint Discovery in Behavioral Videos. CoRR abs/2112.05121 (2021) - 2020
- [c180]Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. CVPR 2020: 4612-4622 - [c179]Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona:
Towards Causal Benchmarking of Bias in Face Analysis Algorithms. ECCV (18) 2020: 547-563 - [c178]Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona:
Synthetic Examples Improve Generalization for Rare Classes. WACV 2020: 852-862 - [i40]Bhairav Chidambaram, Mason McGill, Pietro Perona:
HMM-guided frame querying for bandwidth-constrained video search. CoRR abs/2001.00057 (2020) - [i39]Daniel Laumer, Nico Lang, Natalie van Doorn, Oisin Mac Aodha, Pietro Perona, Jan Dirk Wegner:
Geocoding of trees from street addresses and street-level images. CoRR abs/2002.01708 (2020) - [i38]Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. CoRR abs/2003.01455 (2020) - [i37]Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona:
Towards causal benchmarking of bias in face analysis algorithms. CoRR abs/2007.06570 (2020) - [i36]Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CoRR abs/2011.13917 (2020) - [i35]Neehar Kondapaneni, Pietro Perona:
A Number Sense as an Emergent Property of the Manipulating Brain. CoRR abs/2012.04132 (2020) - [i34]Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona:
Sequence-to-Sequence Contrastive Learning for Text Recognition. CoRR abs/2012.10873 (2020)
2010 – 2019
- 2019
- [c177]Serim Ryou, Seong-Gyun Jeong, Pietro Perona:
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty. ICCV 2019: 5991-6000 - [c176]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. ICCV 2019: 6429-6438 - [c175]Oisin Mac Aodha, Elijah Cole, Pietro Perona:
Presence-Only Geographical Priors for Fine-Grained Image Classification. ICCV 2019: 9595-9605 - [c174]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to a Forgetful Learner. NeurIPS 2019: 4050-4060 - [i33]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. CoRR abs/1902.03545 (2019) - [i32]Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona:
Synthetic Examples Improve Generalization for Rare Classes. CoRR abs/1904.05916 (2019) - [i31]Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona:
The iWildCam 2018 Challenge Dataset. CoRR abs/1904.05986 (2019) - [i30]Oisin Mac Aodha, Elijah Cole, Pietro Perona:
Presence-Only Geographical Priors for Fine-Grained Image Classification. CoRR abs/1906.05272 (2019) - [i29]Sara Beery, Dan Morris, Pietro Perona:
The iWildCam 2019 Challenge Dataset. CoRR abs/1907.07617 (2019) - [i28]Serim Ryou, Seong-Gyun Jeong, Pietro Perona:
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty. CoRR abs/1909.11155 (2019) - [i27]Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona:
From Google Maps to a Fine-Grained Catalog of Street trees. CoRR abs/1910.02675 (2019) - [i26]Yang Liu, Pietro Perona, Markus Meister:
PanDA: Panoptic Data Augmentation. CoRR abs/1911.12317 (2019) - 2018
- [c173]Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue:
Near-Optimal Machine Teaching via Explanatory Teaching Sets. AISTATS 2018: 1970-1978 - [c172]Serim Ryou, Pietro Perona:
Parsing Pose of People with Interaction. BMVC 2018: 216 - [c171]Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona:
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. BMVC 2018: 300 - [c170]Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie, Pietro Perona:
Lean Multiclass Crowdsourcing. CVPR 2018: 2714-2723 - [c169]Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners With Visual Explanations. CVPR 2018: 3820-3828 - [c168]Kun Ho Kim, Oisin Mac Aodha, Pietro Perona:
Context Embedding Networks. CVPR 2018: 8679-8687 - [c167]Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie:
The INaturalist Species Classification and Detection Dataset. CVPR 2018: 8769-8778 - [c166]Sara Beery, Grant Van Horn, Pietro Perona:
Recognition in Terra Incognita. ECCV (16) 2018: 472-489 - [c165]Masaki Okamoto, Pietro Perona, Abdelaziz Khiat:
DDT: Deep Driving Tree for Proactive Planning in Interactive Scenarios. ITSC 2018: 656-661 - [c164]Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue:
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. NeurIPS 2018: 1483-1493 - [i25]Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue:
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. CoRR abs/1802.05190 (2018) - [i24]Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners with Visual Explanations. CoRR abs/1802.06924 (2018) - [i23]Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt:
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes. CoRR abs/1804.02747 (2018) - [i22]Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona:
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. CoRR abs/1805.06880 (2018) - [i21]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to Forgetful Learners. CoRR abs/1805.08322 (2018) - [i20]Sara Beery, Grant Van Horn, Pietro Perona:
Recognition in Terra Incognita. CoRR abs/1807.04975 (2018) - 2017
- [c163]Steve Branson, Grant Van Horn, Pietro Perona:
Lean Crowdsourcing: Combining Humans and Machines in an Online System. CVPR 2017: 6109-6118 - [c162]Bo Chen, Pietro Perona:
Seeing into Darkness: Scotopic Visual Recognition. CVPR 2017: 7292-7301 - [c161]Matteo Ruggero Ronchi, Pietro Perona:
Benchmarking and Error Diagnosis in Multi-instance Pose Estimation. ICCV 2017: 369-378 - [c160]Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona:
Learning Recurrent Representations for Hierarchical Behavior Modeling. ICLR (Poster) 2017 - [c159]Ron Appel, Pietro Perona:
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency. ICML 2017: 186-194 - [c158]Mason McGill, Pietro Perona:
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks. ICML 2017: 2363-2372 - [i19]Mason McGill, Pietro Perona:
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks. CoRR abs/1703.06217 (2017) - [i18]Matteo Ruggero Ronchi, Pietro Perona:
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation. CoRR abs/1707.05388 (2017) - [i17]Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie:
The iNaturalist Challenge 2017 Dataset. CoRR abs/1707.06642 (2017) - [i16]Grant Van Horn, Pietro Perona:
The Devil is in the Tails: Fine-grained Classification in the Wild. CoRR abs/1709.01450 (2017) - [i15]Kun Ho Kim, Oisin Mac Aodha, Pietro Perona:
Context Embedding Networks. CoRR abs/1710.01691 (2017) - 2016
- [j49]Serge J. Belongie, Pietro Perona:
Visipedia circa 2015. Pattern Recognit. Lett. 72: 15-24 (2016) - [j48]Bo Chen, Pietro Perona:
Vision without the Image. Sensors 16(4): 484 (2016) - [c157]Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona:
Multi-Level Cause-Effect Systems. AISTATS 2016: 361-369 - [c156]Jan Dirk Wegner, Steve Branson, David Hall, Konrad Schindler, Pietro Perona:
Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees. CVPR 2016: 6014-6023 - [c155]Krzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, Pietro Perona:
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. UAI 2016 - [i14]David Hall, Pietro Perona:
Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art. CoRR abs/1605.06177 (2016) - [i13]Krzysztof Chalupka, Tobias Bischoff, Pietro Perona, Frederick Eberhardt:
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. CoRR abs/1605.09370 (2016) - [i12]Ron Appel, Xavier P. Burgos-Artizzu, Pietro Perona:
Improved Multi-Class Cost-Sensitive Boosting via Estimation of the Minimum-Risk Class. CoRR abs/1607.03547 (2016) - [i11]Bo Chen, Pietro Perona:
Seeing into Darkness: Scotopic Visual Recognition. CoRR abs/1610.00405 (2016) - [i10]Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona:
Learning recurrent representations for hierarchical behavior modeling. CoRR abs/1611.00094 (2016) - [i9]Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona:
Estimating Causal Direction and Confounding of Two Discrete Variables. CoRR abs/1611.01504 (2016) - 2015
- [c154]Matteo Ruggero Ronchi, Pietro Perona:
Describing Common Human Visual Actions in Images. BMVC 2015: 52.1-52.12 - [c153]Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, Serge J. Belongie:
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. CVPR 2015: 595-604 - [c152]David Hall, Pietro Perona:
Fine-grained classification of pedestrians in video: Benchmark and state of the art. CVPR 2015: 5482-5491 - [c151]Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays:
Tropel: Crowdsourcing Detectors with Minimal Training. HCOMP 2015: 150-159 - [c150]Bo Chen, Pietro Perona:
Scotopic Visual Recognition. ICCV Workshops 2015: 659-662 - [c149]Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt:
Visual Causal Feature Learning. UAI 2015: 181-190 - [i8]Matteo Ruggero Ronchi, Pietro Perona:
Describing Common Human Visual Actions in Images. CoRR abs/1506.02203 (2015) - [i7]Krzysztof Chalupka, Michael Dickinson, Pietro Perona:
Generalized Regressive Motion: a Visual Cue to Collision. CoRR abs/1510.07573 (2015) - [i6]Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt:
Multi-Level Cause-Effect Systems. CoRR abs/1512.07942 (2015) - 2014
- [j47]Pietro Perona:
Quantized response times are a signature of a neuronal bottleneck in decision. Frontiers Comput. Neurosci. 8: 42 (2014) - [j46]Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, Serge J. Belongie:
The Ignorant Led by the Blind: A Hybrid Human-Machine Vision System for Fine-Grained Categorization. Int. J. Comput. Vis. 108(1-2): 3-29 (2014) - [j45]Piotr Dollár, Ron Appel, Serge J. Belongie, Pietro Perona:
Fast Feature Pyramids for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1532-1545 (2014) - [c148]Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. ACCV (4) 2014: 273-287 - [c147]Steve Branson, Grant Van Horn, Pietro Perona, Serge J. Belongie:
Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets. BMVC 2014 - [c146]Bo Chen, Pietro Perona, Lubomir D. Bourdev:
Hierarchical Cascade of Classifiers for Efficient Poselet Evaluation. BMVC 2014 - [c145]David Hall, Pietro Perona:
From Categories to Individuals in Real Time - A Unified Boosting Approach. CVPR 2014: 176-183 - [c144]Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge J. Belongie:
Similarity Comparisons for Interactive Fine-Grained Categorization. CVPR 2014: 859-866 - [c143]Steve Branson, Kristjan Eldjarn Hjorleifsson, Pietro Perona:
Active Annotation Translation. CVPR 2014: 3702-3709 - [c142]Xavier P. Burgos-Artizzu, Matteo Ruggero Ronchi, Pietro Perona:
Distance Estimation of an Unknown Person from a Portrait. ECCV (1) 2014: 313-327 - [c141]David Hall, Pietro Perona:
Online, Real-Time Tracking Using a Category-to-Individual Detector. ECCV (1) 2014: 361-376 - [c140]Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick:
Microsoft COCO: Common Objects in Context. ECCV (5) 2014: 740-755 - [c139]Eyrun Eyjolfsdottir, Steve Branson, Xavier P. Burgos-Artizzu, Eric D. Hoopfer, Jonathan Schor, David J. Anderson, Pietro Perona:
Detecting Social Actions of Fruit Flies. ECCV (2) 2014: 772-787 - [i5]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:
Microsoft COCO: Common Objects in Context. CoRR abs/1405.0312 (2014) - [i4]Steve Branson, Grant Van Horn, Serge J. Belongie, Pietro Perona:
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets. CoRR abs/1406.2952 (2014) - [i3]Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. CoRR abs/1410.4521 (2014) - [i2]Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt:
Visual Causal Feature Learning. CoRR abs/1412.2309 (2014) - 2013
- [j44]Pietro Perona:
Progress in visual categorization: technical perspective. Commun. ACM 56(9): 96 (2013) - [j43]Marina Alterman, Yoav Y. Schechner, Pietro Perona, Joseph Shamir:
Detecting Motion through Dynamic Refraction. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 245-251 (2013) - [c138]Xavier P. Burgos-Artizzu, David Hall, Pietro Perona, Piotr Dollár:
Merging Pose Estimates Across Space and Time. BMVC 2013 - [c137]Michael Maire, Stella X. Yu, Pietro Perona:
Hierarchical Scene Annotation. BMVC 2013 - [c136]Peter Welinder, Max Welling, Pietro Perona:
A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration. CVPR 2013: 3262-3269 - [c135]Xavier P. Burgos-Artizzu, Pietro Perona, Piotr Dollár:
Robust Face Landmark Estimation under Occlusion. ICCV 2013: 1513-1520 - [c134]Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona:
Quickly Boosting Decision Trees - Pruning Underachieving Features Early. ICML (3) 2013: 594-602 - 2012
- [j42]Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona:
Pedestrian Detection: An Evaluation of the State of the Art. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 743-761 (2012) - [j41]Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona:
Unsupervised Learning of Categorical Segments in Image Collections. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1842-1855 (2012) - [c133]Xavier P. Burgos-Artizzu, Piotr Dollár, Dayu Lin, David J. Anderson, Pietro Perona:
Social behavior recognition in continuous video. CVPR 2012: 1322-1329 - [c132]Mohamed Aly, Mario E. Munich, Pietro Perona:
CompactKdt: Compact signatures for accurate large scale object recognition. WACV 2012: 505-512 - [e7]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7572, Springer 2012, ISBN 978-3-642-33717-8 [contents] - [e6]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7573, Springer 2012, ISBN 978-3-642-33708-6 [contents] - [e5]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III. Lecture Notes in Computer Science 7574, Springer 2012, ISBN 978-3-642-33711-6 [contents] - [e4]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV. Lecture Notes in Computer Science 7575, Springer 2012, ISBN 978-3-642-33764-2 [contents] - [e3]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V. Lecture Notes in Computer Science 7576, Springer 2012, ISBN 978-3-642-33714-7 [contents] - [e2]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI. Lecture Notes in Computer Science 7577, Springer 2012, ISBN 978-3-642-33782-6 [contents] - [e1]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII. Lecture Notes in Computer Science 7578, Springer 2012, ISBN 978-3-642-33785-7 [contents] - [i1]Peter Welinder, Max Welling, Pietro Perona:
Semisupervised Classifier Evaluation and Recalibration. CoRR abs/1210.2162 (2012) - 2011
- [j40]Merrielle Spain, Pietro Perona:
Measuring and Predicting Object Importance. Int. J. Comput. Vis. 91(1): 59-76 (2011) - [j39]Evgeniy Bart, Max Welling, Pietro Perona:
Unsupervised Organization of Image Collections: Taxonomies and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2302-2315 (2011) - [c131]Mohamed Aly, Mario E. Munich, Pietro Perona:
Distributed Kd-Trees for Ultra Large Scale Object Recognition. BMVC 2011: 1-11 - [c130]Steve Branson, Pietro Perona, Serge J. Belongie:
Strong supervision from weak annotation: Interactive training of deformable part models. ICCV 2011: 1832-1839 - [c129]Michael Maire, Stella X. Yu, Pietro Perona:
Object detection and segmentation from joint embedding of parts and pixels. ICCV 2011: 2142-2149 - [c128]Catherine Wah, Steve Branson, Pietro Perona, Serge J. Belongie:
Multiclass recognition and part localization with humans in the loop. ICCV 2011: 2524-2531 - [c127]Ryan Gomes, Peter Welinder, Andreas Krause, Pietro Perona:
Crowdclustering. NIPS 2011: 558-566 - [c126]Bo Chen, Vidhya Navalpakkam, Pietro Perona:
Predicting response time and error rates in visual search. NIPS 2011: 2699-2707 - [c125]Mohamed Aly, Mario E. Munich, Pietro Perona:
Bag of Words for Large Scale Object Recognition - Properties and Benchmark. VISAPP 2011: 299-306 - [c124]Mohamed Aly, Mario E. Munich, Pietro Perona:
Indexing in large scale image collections: Scaling properties and benchmark. WACV 2011: 418-425 - 2010
- [j38]Pietro Perona:
Seeing the trees, the forest, and much more. Commun. ACM 53(3): 106 (2010) - [j37]Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman:
Learning Object Categories From Internet Image Searches. Proc. IEEE 98(8): 1453-1466 (2010) - [j36]Pietro Perona:
Vision of a Visipedia. Proc. IEEE 98(8): 1526-1534 (2010) - [c123]Piotr Dollár, Serge J. Belongie, Pietro Perona:
The Fastest Pedestrian Detector in the West. BMVC 2010: 1-11 - [c122]Peter Welinder, Pietro Perona:
Online crowdsourcing: Rating annotators and obtaining cost-effective labels. CVPR Workshops 2010: 25-32 - [c121]Piotr Dollár, Peter Welinder, Pietro Perona:
Cascaded pose regression. CVPR 2010: 1078-1085 - [c120]Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Peter Welinder, Pietro Perona, Serge J. Belongie:
Visual Recognition with Humans in the Loop. ECCV (4) 2010: 438-451 - [c119]Ryan Gomes, Andreas Krause, Pietro Perona:
Discriminative Clustering by Regularized Information Maximization. NIPS 2010: 775-783 - [c118]Peter Welinder, Steve Branson, Serge J. Belongie, Pietro Perona:
The Multidimensional Wisdom of Crowds. NIPS 2010: 2424-2432
2000 – 2009
- 2009
- [c117]Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge J. Belongie:
Integral Channel Features. BMVC 2009: 1-11 - [c116]Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona:
Towards automated large scale discovery of image families. CVPR Workshops 2009: 9-16 - [c115]Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona:
Pedestrian detection: A benchmark. CVPR 2009: 304-311 - [c114]Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona:
Scaling object recognition: Benchmark of current state of the art techniques. ICCV Workshops 2009: 2117-2124 - [c113]Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona:
Automatic discovery of image families: Global vs. local features. ICIP 2009: 777-780 - 2008
- [j35]William T. Freeman, Pietro Perona, Bernhard Schölkopf:
Guest Editorial. Int. J. Comput. Vis. 77(1-3): 1 (2008) - [j34]Alex Holub, Max Welling, Pietro Perona:
Hybrid Generative-Discriminative Visual Categorization. Int. J. Comput. Vis. 77(1-3): 239-258 (2008) - [c112]Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona:
Unsupervised learning of categorical segments in image collections. CVPR Workshops 2008: 1-8 - [c111]Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling:
Unsupervised learning of visual taxonomies. CVPR 2008 - [c110]Ryan Gomes, Max Welling, Pietro Perona:
Incremental learning of nonparametric Bayesian mixture models. CVPR 2008 - [c109]Gregory Griffin, Pietro Perona:
Learning and using taxonomies for fast visual categorization. CVPR 2008 - [c108]Alex Holub, Pietro Perona, Michael C. Burl:
Entropy-based active learning for object recognition. CVPR Workshops 2008: 1-8 - [c107]Sara Zanetti, Lihi Zelnik-Manor, Pietro Perona:
A walk through the web's video clips. CVPR Workshops 2008: 1-8 - [c106]Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu:
Multiple Component Learning for Object Detection. ECCV (2) 2008: 211-224 - [c105]Pierre Moreels, Pietro Perona:
A Probabilistic Cascade of Detectors for Individual Object Recognition. ECCV (3) 2008: 426-439 - [c104]Merrielle Spain, Pietro Perona:
Some Objects Are More Equal Than Others: Measuring and Predicting Importance. ECCV (1) 2008: 523-536 - [c103]Alex Holub, Pierre Moreels, Pietro Perona:
Unsupervised clustering for google searches of celebrity images. FG 2008: 1-8 - [c102]Ryan Gomes, Max Welling, Pietro Perona:
Memory bounded inference in topic models. ICML 2008: 344-351 - 2007
- [j33]Li Fei-Fei, Robert Fergus, Pietro Perona:
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Comput. Vis. Image Underst. 106(1): 59-70 (2007) - [j32]Robert Fergus, Pietro Perona, Andrew Zisserman:
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. Int. J. Comput. Vis. 71(3): 273-303 (2007) - [j31]Silvio Savarese, Marco Andreetto, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona:
3D Reconstruction by Shadow Carving: Theory and Practical Evaluation. Int. J. Comput. Vis. 71(3): 305-336 (2007) - [j30]Pierre Moreels, Pietro Perona:
Evaluation of Features Detectors and Descriptors based on 3D Objects. Int. J. Comput. Vis. 73(3): 263-284 (2007) - [j29]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Learning and prediction of slip from visual information. J. Field Robotics 24(3): 205-231 (2007) - [j28]Marc'Aurelio Ranzato, P. E. Taylor, James M. House, R. C. Flagan, Yann LeCun, Pietro Perona:
Automatic recognition of biological particles in microscopic images. Pattern Recognit. Lett. 28(1): 31-39 (2007) - [c101]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. CVPR 2007 - [c100]Alex Holub, Yun-hsueh Liu, Pietro Perona:
On Constructing Facial Similarity Maps. CVPR 2007 - [c99]Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona:
Non-Parametric Probabilistic Image Segmentation. ICCV 2007: 1-8 - [c98]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Learning slip behavior using automatic mechanical supervision. ICRA 2007: 1741-1748 - [c97]Lihi Zelnik-Manor, Pietro Perona:
Automating joiners. NPAR 2007: 121-131 - [c96]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning. Robotics: Science and Systems 2007 - 2006
- [j27]Li Fei-Fei, Robert Fergus, Pietro Perona:
One-Shot Learning of Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 594-611 (2006) - [c95]Marco Andreetto, Silvio Savarese, Pietro Perona:
Carving from Ray-Tracing Constraints: IRT-Carving. 3DPVT 2006: 49-56 - [c94]Robert Fergus, Pietro Perona, Andrew Zisserman:
A Sparse Object Category Model for Efficient Learning and Complete Recognition. Toward Category-Level Object Recognition 2006: 443-461 - [c93]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Gabe Sibley, Pietro Perona:
Learning to Predict Slip for Ground Robots. ICRA 2006: 3324-3331 - [c92]Jonathan Harel, Christof Koch, Pietro Perona:
Graph-Based Visual Saliency. NIPS 2006: 545-552 - [c91]Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Slip Prediction Using Visual Information. Robotics: Science and Systems 2006 - 2005
- [j26]Dirk Walther, Ueli Rutishauser, Christof Koch, Pietro Perona:
Selective visual attention enables learning and recognition of multiple objects in cluttered scenes. Comput. Vis. Image Underst. 100(1-2): 41-63 (2005) - [j25]Silvio Savarese, Min Chen, Pietro Perona:
Local Shape from Mirror Reflections. Int. J. Comput. Vis. 64(1): 31-67 (2005) - [c90]Robert Fergus, Pietro Perona, Andrew Zisserman:
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. CVPR (1) 2005: 380-387 - [c89]Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Perona:
Pruning Training Sets for Learning of Object Categories. CVPR (1) 2005: 494-501 - [c88]Li Fei-Fei, Pietro Perona:
A Bayesian Hierarchical Model for Learning Natural Scene Categories. CVPR (2) 2005: 524-531 - [c87]Alex Holub, Pietro Perona:
A Discriminative Framework for Modelling Object Classes. CVPR (1) 2005: 664-671 - [c86]Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pietro Perona, David J. Kriegman, Serge J. Belongie:
Beyond Pairwise Clustering. CVPR (2) 2005: 838-845 - [c85]Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona:
Hybrid Models for Human Motion Recognition. CVPR (1) 2005: 1166-1173 - [c84]Alex Holub, Max Welling, Pietro Perona:
Combining Generative Models and Fisher Kernels for Object Recognition. ICCV 2005: 136-143 - [c83]Pierre Moreels, Pietro Perona:
Evaluation of Features Detectors and Descriptors Based on 3D Objects. ICCV 2005: 800-807 - [c82]Lihi Zelnik-Manor, Gabriele Peters, Pietro Perona:
Squaring the Circles in Panoramas. ICCV 2005: 1292-1299 - [c81]Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman:
Learning Object Categories from Google's Image Search. ICCV 2005: 1816-1823 - 2004
- [c80]Silvio Savarese, Li Fei-Fei, Pietro Perona:
What do reflections tell us about the shape of a mirror? APGV 2004: 115-118 - [c79]Ueli Rutishauser, Dirk Walther, Christof Koch, Pietro Perona:
Is Bottom-Up Attention Useful for Object Recognition? CVPR (2) 2004: 37-44 - [c78]Li Fei-Fei, Rob Fergus, Pietro Perona:
Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories. CVPR Workshops 2004: 178 - [c77]Pierre Moreels, Michael Maire, Pietro Perona:
Recognition by Probabilistic Hypothesis Construction. ECCV (1) 2004: 55-68 - [c76]Robert Fergus, Pietro Perona, Andrew Zisserman:
A Visual Category Filter for Google Images. ECCV (1) 2004: 242-256 - [c75]Silvio Savarese, Min Chen, Pietro Perona:
Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid. ECCV (3) 2004: 468-481 - [c74]Robert Fergus, Andrew Zisserman, Pietro Perona:
Sampling Methods for Unsupervised Learning. NIPS 2004: 433-440 - [c73]Pierre Moreels, Pietro Perona:
Common-Frame Model for Object Recognition. NIPS 2004: 953-960 - [c72]Lihi Zelnik-Manor, Pietro Perona:
Self-Tuning Spectral Clustering. NIPS 2004: 1601-1608 - [c71]Pietro Perona:
A taxonomy of visual recognition. VMV 2004: 187 - 2003
- [j24]Domitilla Del Vecchio, Richard M. Murray, Pietro Perona:
Decomposition of human motion into dynamics-based primitives with application to drawing tasks. Autom. 39(12): 2085-2098 (2003) - [j23]Mario E. Munich, Pietro Perona:
Visual Identification by Signature Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(2): 200-217 (2003) - [j22]Yang Song, Luis Goncalves, Pietro Perona:
Unsupervised Learning of Human Motion. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 814-827 (2003) - [c70]Domitilla Del Vecchio, Richard M. Murray, Pietro Perona:
Segmentation of human motion into dynamics based primitives with application to drawing tasks. ACC 2003: 1816-1823 - [c69]Robert Fergus, Pietro Perona, Andrew Zisserman:
Object Class Recognition by Unsupervised Scale-Invariant Learning. CVPR (2) 2003: 264-271 - [c68]Domitilla Del Vecchio, Richard M. Murray, Pietro Perona:
Classification of human actions into dynamics based primitives with application to drawing tasks. ECC 2003: 445-450 - [c67]Li Fei-Fei, Robert Fergus, Pietro Perona:
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. ICCV 2003: 1134-1141 - [c66]Michael Fink, Pietro Perona:
Mutual Boosting for Contextual Inference. NIPS 2003: 1515-1522 - [c65]Claudio Fanti, Marzia Polito, Pietro Perona:
An Improved Scheme for Detection and Labelling in Johansson Displays. NIPS 2003: 1603-1610 - [c64]Pietro Perona:
The Emergence of Visual Categories - A Computational Perspective. SCIA 2003: 1-3 - 2002
- [j21]Olivier D. Faugeras, Pietro Perona, Guillermo Sapiro:
Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics. J. Vis. Commun. Image Represent. 13(1-2): 1-2 (2002) - [j20]Mario E. Munich, Pietro Perona:
Visual Input for Pen-Based Computers. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 313-328 (2002) - [c63]Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona:
Implementation of a Shadow Carving System for Shape Capture. 3DPVT 2002: 12-23 - [c62]Silvio Savarese, Min Chen, Pietro Perona:
Second Order Local Analysis for 3D Reconstruction of Specular Surfaces. 3DPVT 2002: 356-361 - [c61]Xiaolin Feng, Pietro Perona:
Human Action Recognition By Sequence of Movelet Codewords. 3DPVT 2002: 717-723 - [c60]Silvio Savarese, Pietro Perona:
Local Analysis for 3D Reconstruction of Specular Surfaces - Part II. ECCV (2) 2002: 759-774 - [c59]Alex Holub, Gilles Laurent, Pietro Perona:
A Digital Antennal Lobe for Pattern Equalization: Analysis and Design. NIPS 2002: 229-236 - 2001
- [j19]Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona:
Monocular Perception of Biological Motion in Johansson Displays. Comput. Vis. Image Underst. 81(3): 303-327 (2001) - [c58]Silvio Savarese, Pietro Perona:
Local Analysis for 3D Reconstruction of Specular Surfaces. CVPR (2) 2001: 738-745 - [c57]Yang Song, Luis Goncalves, Pietro Perona:
Learning Probabilistic Structure for Human Motion Detection. CVPR (2) 2001: 771-777 - [c56]Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona:
Shadow Carving. ICCV 2001: 190-197 - [c55]Marzia Polito, Pietro Perona:
Grouping and dimensionality reduction by locally linear embedding. NIPS 2001: 1255-1262 - [c54]Yang Song, Luis Goncalves, Pietro Perona:
Unsupervised Learning of Human Motion Models. NIPS 2001: 1287-1294 - 2000
- [j18]Arrigo Benedetti, Pietro Perona:
A system for real-time 2-D feature detection based on field programmable gate arrays. Integr. Comput. Aided Eng. 7(3): 181-191 (2000) - [j17]Eric Senn, Pietro Perona:
Hazard-free self-timed design: methodology and application. Integr. Comput. Aided Eng. 7(3): 229-242 (2000) - [j16]Gudrun Socher, Gerhard Sagerer, Pietro Perona:
Bayesian reasoning on qualitative descriptions from images and speech. Image Vis. Comput. 18(2): 155-172 (2000) - [j15]Olivier D. Faugeras, Pietro Perona, Guillermo Sapiro:
Call for Papers: Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics. J. Vis. Commun. Image Represent. 11(1): 93-94 (2000) - [j14]Olivier D. Faugeras, Mads Nielsen, Pietro Perona, Bart M. ter Haar Romeny, Guillermo Sapiro:
Special Issue on the Second International Conference on Scale Space Theory in Computer Vision: Guest Editors' Comments. J. Vis. Commun. Image Represent. 11(2): 95 (2000) - [c53]Yang Song, Xiaolin Feng, Pietro Perona:
Towards Detection of Human Motion. CVPR 2000: 1810-1817 - [c52]Markus Weber, Max Welling, Pietro Perona:
Towards Automatic Discovery of Object Categories. CVPR 2000: 2101- - [c51]Markus Weber, Max Welling, Pietro Perona:
Unsupervised Learning of Models for Recognition. ECCV (1) 2000: 18-32 - [c50]Yang Song, Luis Goncalves, Pietro Perona:
Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion. ECCV (2) 2000: 719-733 - [c49]Markus Weber, Wolfgang Einhäuser, Max Welling, Pietro Perona:
Viewpoint-Invariant Learning and Detection of Human Heads. FG 2000: 20-27 - [c48]Yang Song, Pietro Perona:
A Computational Model for Motion Detection and Direction Discrimination in Humans. Workshop on Human Motion 2000: 11- - [c47]Paolo Fiorini, Gene Chalfant, Yuichi Tsumaki, Enrico Di Bernardo, Pietro Perona:
An Intelligent Vision-Only Operator Interface for Dexterous Robots. ICRA 2000: 2665-2670
1990 – 1999
- 1999
- [j13]Jean-Yves Bouguet, Pietro Perona:
3D Photography Using Shadows in Dual-Space Geometry. Int. J. Comput. Vis. 35(2): 129-149 (1999) - [c46]Jean-Yves Bouguet, Markus Weber, Pietro Perona:
What Do Planar Shadows Tell About Scene Geometry?. CVPR 1999: 1514-1520 - [c45]Mario E. Munich, Pietro Perona:
Visual Signature Verification Using Affine Arc-Length. CVPR 1999: 2180-2186 - [c44]Mario E. Munich, Pietro Perona:
Continuous Dynamic Time Warping for Translation-Invariant Curve Alignment with Applications to Signature Verification. ICCV 1999: 108-115 - [c43]Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona:
Monocular Perception of Biological Motion - Detection and Labeling. ICCV 1999: 805-812 - [c42]Arrigo Benedetti, Pietro Perona:
A novel system architecture for real-time low-level vision. ISCAS (3) 1999: 500-503 - 1998
- [j12]Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele:
Learning to Recognize Volcanoes on Venus. Mach. Learn. 30(2-3): 165-194 (1998) - [j11]Stefano Soatto, Pietro Perona:
Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 20(9): 933-942 (1998) - [j10]Stefano Soatto, Pietro Perona:
Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 20(9): 943-960 (1998) - [j9]Stefano Soatto, Pietro Perona:
Correction to: "Reducing 'Structure From Motion': A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment". IEEE Trans. Pattern Anal. Mach. Intell. 20(10): 1117 (1998) - [j8]Pietro Perona:
Orientation diffusions. IEEE Trans. Image Process. 7(3): 457-467 (1998) - [j7]Roberto Manduchi, Pietro Perona, Doug Shy:
Efficient deformable filter banks. IEEE Trans. Signal Process. 46(4): 1168-1173 (1998) - [c41]Xiaolin Feng, Pietro Perona:
Scene Segmentation from 3D Motion. CVPR 1998: 225-231 - [c40]Michael C. Burl, Pietro Perona:
Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data. CVPR 1998: 535-540 - [c39]Arrigo Benedetti, Pietro Perona:
Real-Time 2-D Feature Detection on a Reconfigurable Computer. CVPR 1998: 586-593 - [c38]Thomas K. Leung, Michael C. Burl, Pietro Perona:
Probablistic Affine Invariants for Recognition. CVPR 1998: 678-684 - [c37]Michael C. Burl, Markus Weber, Pietro Perona:
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry. ECCV (2) 1998: 628-641 - [c36]Pietro Perona, William T. Freeman:
A Factorization Approach to Grouping. ECCV (1) 1998: 655-670 - [c35]Mario E. Munich, Pietro Perona:
Camera-Based ID Verification by Signature Tracking. ECCV (1) 1998: 782-796 - [c34]Jean-Yves Bouguet, Pietro Perona:
3D photography using shadows. EUSIPCO 1998: 1-4 - [c33]Luis Goncalves, Enrico Di Bernardo, Pietro Perona:
Reach Out and Touch Space (Motion Learning). FG 1998: 234-241 - [c32]Jean-Yves Bouguet, Pietro Perona:
3D Photography on Your Desk. ICCV 1998: 43-52 - 1997
- [j6]Stefano Soatto, Pietro Perona:
Motion from Fixation. Real Time Imaging 3(2): 129-153 (1997) - [c31]Pietro Perona:
Orientation diffusions. CVPR 1997: 710-716 - 1996
- [j5]Paul Kube, Pietro Perona:
Scale-Space Properties of Quadratic Feature Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 18(10): 987-999 (1996) - [j4]Stefano Soatto, Ruggero Frezza, Pietro Perona:
Motion estimation via dynamic vision. IEEE Trans. Autom. Control. 41(3): 393-413 (1996) - [c30]Michael C. Burl, Pietro Perona:
Recognition of Planar Object Classes. CVPR 1996: 223-230 - [c29]Stefano Soatto, Pietro Perona:
Motion from fixation. CVPR 1996: 817-824 - [c28]Stefano Soatto, Pietro Perona:
Reducing "structure from motion". CVPR 1996: 825-832 - [c27]Mario E. Munich, Pietro Perona:
Visual input for pen-based computers. ICIP (2) 1996: 173-176 - [c26]Mario E. Munich, Pietro Perona:
Visual input for pen-based computers. ICPR 1996: 33-37 - [c25]Enrico Di Bernardo, Luis Goncalves, Pietro Perona:
Monocular tracking of the human arm in 3D: real-time implementation and experiments. ICPR 1996: 622-626 - [p2]Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona:
Modeling Subjective Uncertainty in Image Annotation. Advances in Knowledge Discovery and Data Mining 1996: 517-539 - 1995
- [j3]Pietro Perona:
Deformable Kernels for Early Vision. IEEE Trans. Pattern Anal. Mach. Intell. 17(5): 488-499 (1995) - [c24]Stefano Soatto, Pietro Perona:
Dynamic Rigid Motion Estimation from Weak Perspective. ICCV 1995: 321- - [c23]Thomas K. Leung, Michael C. Burl, Pietro Perona:
Finding Faces in Cluttered Scenes Using Labeled Random Graph Matching. ICCV 1995: 637-644 - [c22]Jean-Yves Bouguet, Pietro Perona:
Visual Navigation Using a Single Camera. ICCV 1995: 645-652 - [c21]Enrico Di Bernardo, Luis Goncalves, Enrico Ursella, Pietro Perona:
Monocular Tracking of the Human Arm in 3D. ICCV 1995: 764-770 - [c20]Stefano Soatto, Pietro Perona:
Visual motion estimation from point features: unified view. ICIP (3) 1995: 21-24 - [c19]Roberto Manduchi, Pietro Perona:
Pyramidal implementation of deformable kernels. ICIP 1995: 378-381 - 1994
- [c18]Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona, Subrata Rakshit, Charles H. Anderson:
Overcomplete steerable pyramid filters and rotation invariance. CVPR 1994: 222-228 - [c17]Douglas Shy, Pietro Perona:
X-Y separable pyramid steerable scalable kernels. CVPR 1994: 237-244 - [c16]Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth:
Automating the hunt for volcanoes on Venus. CVPR 1994: 302-309 - [c15]Stefano Soatto, Ruggero Frezza, Pietro Perona:
Motion Estimation on the Essential Manifold. ECCV (2) 1994: 61-72 - [c14]Paul Kube, Pietro Perona:
Scale-space Properties of Quadratic Edge Detectors. ECCV (1) 1994: 115-122 - [c13]Pietro Perona, Marco Tartagni:
Diffusion Networks for On-Chip Image Contrast Normalization. ICIP (1) 1994: 1-5 - [c12]Stefano Soatto, Pietro Perona:
Recursive Estimation of Camera Motion from Uncalibrated Image Sequences. ICIP (3) 1994: 58-62 - [c11]Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth:
Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. ICIP (3) 1994: 236-240 - [c10]Stefano Soatto, Pietro Perona:
Dynamic Visual Motion Estimation from Subspace Constraints. ICIP (1) 1994: 333-337 - [c9]Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona:
Rotation invariant texture recognition using a steerable pyramid. ICPR (2) 1994: 162-167 - [c8]Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona:
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. KDD Workshop 1994: 109-120 - [c7]Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi:
Inferring Ground Truth from Subjective Labelling of Venus Images. NIPS 1994: 1085-1092 - [p1]Pietro Perona, Takahiro Shiota, Jitendra Malik:
Anisotropic Diffusion. Geometry-Driven Diffusion in Computer Vision 1994: 73-92 - 1993
- [c6]Stefano Soatto, Pietro Perona, Ruggero Frezza, Giorgio Picci:
Recursive motion and structure estimation with complete error characterization. CVPR 1993: 428-433 - 1992
- [j2]Pietro Perona:
Steerable-scalable kernels for edge detection and junction analysis. Image Vis. Comput. 10(10): 663-672 (1992) - [c5]Pietro Perona:
Steerable-Scalable Kernels for Edge Detection and Junction Analysis. ECCV 1992: 3-18 - [c4]Stefano Casadei, Sanjoy K. Mitter, Pietro Perona:
Boundary Detection in Piecewise Homogeneous Textured Images. ECCV 1992: 174-183 - 1991
- [c3]Pietro Perona:
Deformable kernels for early vision. CVPR 1991: 222-227 - 1990
- [j1]Pietro Perona, Jitendra Malik:
Scale-Space and Edge Detection Using Anisotropic Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7): 629-639 (1990) - [c2]Pietro Perona, Jitendra Malik:
Detecting and localizing edges composed of steps, peaks and roofs. ICCV 1990: 52-57
1980 – 1989
- 1989
- [c1]Jitendra Malik, Pietro Perona:
A computational model of texture segmentation. CVPR 1989: 326-332
Coauthor Index
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