Jennifer J. Sun

According to our database, Jennifer J. Sun authored at least 37 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Live Interactive Training for Video Segmentation.

Xinyu Yang, Haozheng Yu, Yihong Sun, Bharath Hariharan, Jennifer J. Sun

CoRR, March, 2026

Evaluating Agentic Optimization on Large Codebases.

Atharva Sehgal, James Hou, Akanksha Sarkar, Ishaan Mantripragada, Swarat Chaudhuri, Jennifer J. Sun, Yisong Yue

CoRR, March, 2026

2025

Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization.

Xuefei Wang, Kai A. Horstmann, Ethan Lin, Jonathan Chen, Alexander R. Farhang, Sophia Stiles, Atharva Sehgal, Jonathan Light, David Van Valen, Yisong Yue, Jennifer J. Sun

CoRR, December, 2025

Tracking and Understanding Object Transformations.

Yihong Sun, Xinyu Yang, Jennifer J. Sun, Bharath Hariharan

CoRR, November, 2025

How many classes do we need to see for novel class discovery?

Akanksha Sarkar, Been Kim, Jennifer J. Sun

CoRR, September, 2025

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor.

Ethan Lin, Linxi Zhao, Atharva Sehgal, Jennifer J. Sun

CoRR, July, 2025

Pre-trained Large Language Models Learn Hidden Markov Models In-context.

Yijia Dai, Zhaolin Gao, Yahya Sattar, Sarah Dean, Jennifer J. Sun

CoRR, June, 2025

Pre-training Large Memory Language Models with Internal and External Knowledge.

Linxi Zhao, Sofian Zalouk, Christian K. Belardi, Justin Lovelace, Jin Peng Zhou, Kilian Q. Weinberger, Yoav Artzi, Jennifer J. Sun

CoRR, May, 2025

Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision.

Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Self-Evolving Visual Concept Library using Vision-Language Critics.

Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning.

Jennifer J. Sun

PhD thesis, 2024

Scaling 4D Representations.

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

CoRR, 2024

Video Creation by Demonstration.

Yihong Sun, Hao Zhou, Liangzhe Yuan, Jennifer J. Sun, Yandong Li, Xuhui Jia, Hartwig Adam, Bharath Hariharan, Long Zhao, Ting Liu

CoRR, 2024

VideoPrism: A Foundational Visual Encoder for Video Understanding.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neurosymbolic Grounding for Compositional World Models.

Atharva Sehgal, Arya Grayeli, Jennifer J. Sun, Swarat Chaudhuri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior.

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

Proceedings of the International Conference on Machine Learning, 2023

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Learning of Neurosymbolic Encoders.

Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri

Trans. Mach. Learn. Res., 2022

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose.

Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam

Int. J. Comput. Vis., 2022

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.

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

CoRR, 2022

Neurosymbolic Programming for Science.

Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes

CoRR, 2022

The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior.

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

CoRR, 2022

Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings.

Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue

CoRR, 2022

Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development.

Kevin Luxem, Jennifer J. Sun, Sean P. Bradley, Keerthi Krishnan, Talmo D. Pereira, Eric A. Yttri, Jan Zimmermann, Mark Laubach

CoRR, 2022

Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis.

Albert Tseng, Jennifer J. Sun, Yisong Yue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Keypoint Discovery in Behavioral Videos.

Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Interpreting Expert Annotation Differences in Animal Behavior.

Megan Tjandrasuwita, Jennifer J. Sun, Ann Kennedy, Swarat Chaudhuri, Yisong Yue

CoRR, 2021

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.

Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy

CoRR, 2021

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Task Programming: Learning Data Efficient Behavior Representations.

Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization.

Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Task Programming: Learning Data Efficient Behavior Representations.

Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona

CoRR, 2020

EEV Dataset: Predicting Expressions Evoked by Diverse Videos.

Jennifer J. Sun, Ting Liu, Alan S. Cowen, Florian Schroff, Hartwig Adam, Gautam Prasad

CoRR, 2020

Learning Differentiable Programs with Admissible Neural Heuristics.

Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

View-Invariant Probabilistic Embedding for Human Pose.

Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

GLA in MediaEval 2018 Emotional Impact of Movies Task.

Jennifer J. Sun, Ting Liu, Gautam Prasad

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018