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ORCIDJennifer J. Sun
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Books and Theses
- 2024
[b1]Jennifer J. Sun:
AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning. doi:10.7907/d6y8-4590, USA, 2024
Journal Articles
- 2022
- [j2]Ting Liu
, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. Int. J. Comput. Vis. 130(1): 111-135 (2022) - [j1]Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri:
Unsupervised Learning of Neurosymbolic Encoders. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2025
- [c14]Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri:
Self-Evolving Visual Concept Library using Vision-Language Critics. CVPR 2025: 13124-13134 - [c13]Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks:
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision. WACV 2025: 578-588 - 2024
- [c12]Atharva Sehgal, Arya Grayeli, Jennifer J. Sun, Swarat Chaudhuri:
Neurosymbolic Grounding for Compositional World Models. ICLR 2024 - [c11]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. ICML 2024 - 2023
- [c10]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 - [c9]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 - 2022
- [c8]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 - [c7]Albert Tseng, Jennifer J. Sun, Yisong Yue:
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CVPR 2022: 2201-2210 - 2021
- [c6]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 - [c5]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CVPR 2021: 12793-12802 - [c4]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 - 2020
- [c3]Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. ECCV (5) 2020: 53-70 - [c2]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. NeurIPS 2020 - 2018
- [c1]Jennifer J. Sun, Ting Liu, Gautam Prasad:
GLA in MediaEval 2018 Emotional Impact of Movies Task. MediaEval 2018
Informal and Other Publications
- 2025
- [i29]Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri:
Self-Evolving Visual Concept Library using Vision-Language Critics. CoRR abs/2504.00185 (2025) - [i28]Linxi Zhao, Sofian Zalouk, Christian K. Belardi, Justin Lovelace, Jin Peng Zhou, Kilian Q. Weinberger, Yoav Artzi, Jennifer J. Sun:
Pre-training Large Memory Language Models with Internal and External Knowledge. CoRR abs/2505.15962 (2025) - [i27]Yijia Dai, Zhaolin Gao, Yahya Sattar, Sarah Dean, Jennifer J. Sun:
Pre-trained Large Language Models Learn Hidden Markov Models In-context. CoRR abs/2506.07298 (2025) - [i26]Ethan Lin, Linxi Zhao, Atharva Sehgal, Jennifer J. Sun:
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor. CoRR abs/2507.03542 (2025) - [i25]Yana Hasson, Pauline Luc, Liliane Momeni, Maks Ovsjanikov, Guillaume Le Moing, Alina Kuznetsova, Ira Ktena, Jennifer J. Sun, Skanda Koppula, Dilara Gokay, Joseph Heyward, Etienne Pot, Andrew Zisserman:
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications. CoRR abs/2507.03578 (2025) - [i24]Akanksha Sarkar, Been Kim, Jennifer J. Sun:
How many classes do we need to see for novel class discovery? CoRR abs/2509.15585 (2025) - [i23]Yihong Sun, Xinyu Yang, Jennifer J. Sun, Bharath Hariharan:
Tracking and Understanding Object Transformations. CoRR abs/2511.04678 (2025) - 2024
- [i22]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. CoRR abs/2402.13217 (2024) - [i21]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) - [i20]Yihong Sun, Hao Zhou, Liangzhe Yuan, Jennifer J. Sun, Yandong Li, Xuhui Jia, Hartwig Adam, Bharath Hariharan, Long Zhao, Ting Liu:
Video Creation by Demonstration. CoRR abs/2412.09551 (2024) - [i19]João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman:
Scaling 4D Representations. CoRR abs/2412.15212 (2024) - 2023
- [i18]Atharva Sehgal, Arya Grayeli, Jennifer J. Sun, Swarat Chaudhuri:
Neurosymbolic Grounding for Compositional World Models. CoRR abs/2310.12690 (2023) - 2022
- [i17]Kevin Luxem, Jennifer J. Sun, Sean P. Bradley, Keerthi Krishnan, Talmo D. Pereira, Eric A. Yttri, Jan Zimmermann, Mark Laubach:
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development. CoRR abs/2204.02842 (2022) - [i16]Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue:
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings. CoRR abs/2206.08094 (2022) - [i15]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) - [i14]Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes:
Neurosymbolic Programming for Science. CoRR abs/2210.05050 (2022) - [i13]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
- [i12]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) - [i11]Megan Tjandrasuwita, Jennifer J. Sun, Ann Kennedy, Swarat Chaudhuri, Yisong Yue:
Interpreting Expert Annotation Differences in Animal Behavior. CoRR abs/2106.06114 (2021) - [i10]Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri:
Unsupervised Learning of Neurosymbolic Encoders. CoRR abs/2107.13132 (2021) - [i9]Albert Tseng, Jennifer J. Sun, Yisong Yue:
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CoRR abs/2111.15186 (2021) - [i8]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
- [i7]Jennifer J. Sun, Ting Liu, Alan S. Cowen, Florian Schroff, Hartwig Adam, Gautam Prasad:
EEV Dataset: Predicting Expressions Evoked by Diverse Videos. CoRR abs/2001.05488 (2020) - [i6]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. CoRR abs/2007.12101 (2020) - [i5]Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. CoRR abs/2010.13321 (2020) - [i4]Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CoRR abs/2011.13917 (2020) - [i3]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CoRR abs/2012.01405 (2020) - 2019
- [i2]Jennifer J. Sun, Ting Liu, Gautam Prasad:
GLA in MediaEval 2018 Emotional Impact of Movies Task. CoRR abs/1911.12361 (2019) - [i1]Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. CoRR abs/1912.01001 (2019)
Coauthor Index
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