


default search action
Pietro Perona
Person information
- affiliation: California Institute of Technology, Computational Vision Laboratory
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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) - [c201]Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona:
Text-Image Alignment for Diffusion-Based Perception. CVPR 2024: 13883-13893 - [c200]Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona:
A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation. ECCV (88) 2024: 140-158 - [c199]Ira Globus-Harris
, Declan Harrison
, Michael Kearns
, Pietro Perona
, Aaron Roth
:
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. FAccT 2024: 529-545 - [i69]Ritambhara Singh, Abhishek Jain, Pietro Perona, Shivani Agarwal, Junfeng Yang:
On the Effect of Image Resolution on Semantic Segmentation. CoRR abs/2402.05398 (2024) - [i68]Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth:
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. CoRR abs/2402.10795 (2024) - [i67]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) - [i66]Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona:
Less is More: Discovering Concise Network Explanations. CoRR abs/2405.15243 (2024) - [i65]Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona:
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation. CoRR abs/2406.07320 (2024) - [i64]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) - [i63]Carina I. Hausladen, Manuel Knott, Colin F. Camerer, Pietro Perona:
Social perception of faces in a vision-language model. CoRR abs/2408.14435 (2024) - [i62]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) - [i61]Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling:
Unsupervised Representation Learning from Sparse Transformation Analysis. CoRR abs/2410.05564 (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]