David Fan

According to our database, David Fan authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

Beyond Language Modeling: An Exploration of Multimodal Pretraining.

Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie

CoRR, March, 2026

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures.

Basile Terver, Randall Balestriero, Megi Dervishi, David Fan, Quentin Garrido, Tushar Nagarajan, Koustuv Sinha, Wancong Zhang, Mike Rabbat, Yann LeCun, Amir Bar

CoRR, February, 2026

2025

World Models Can Leverage Human Videos for Dexterous Manipulation.

Raktim Gautam Goswami, Amir Bar, David Fan, Tsung-Yen Yang, Gaoyue Zhou, Prashanth Krishnamurthy, Michael Rabbat, Farshad Khorrami, Yann LeCun

CoRR, December, 2025

Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training.

Junlin Han, Shengbang Tong, David Fan, Yufan Ren, Koustuv Sinha, Philip Torr, Filippos Kokkinos

CoRR, September, 2025

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas

CoRR, June, 2025

GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-Grained Video-Language Learning.

Yicheng Wang, Zhikang Zhang, Jue Wang, David Fan, Zhenlin Xu, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li

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

Now you see Me: Context-Aware Automatic Audio Description.

Seon-Ho Lee, Jue Wang, David Fan, Zhikang Zhang, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li

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

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu

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

Scaling Language-Free Visual Representation Learning.

David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie

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

2024

NowYouSee Me: Context-Aware Automatic Audio Description.

Seon-Ho Lee, Jue Wang, David Fan, Zhikang Zhang, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li

CoRR, 2024

Video Token Merging for Long-form Video Understanding.

Seon-Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Li

CoRR, 2024

Video Token Merging for Long Video Understanding.

Seon-Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Text-Guided Video Masked Autoencoder.

David Fan, Jue Wang, Shuai Liao, Zhikang Zhang, Vimal Bhat, Xinyu Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos.

David Fan, Deyu Yang, Xinyu Li, Vimal Bhat, Rohith MV

CoRR, 2023

MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation.

Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector J. Santos-Villalobos, Vimal Bhat, Rohith MV

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Motion-Guided Masking for Spatiotemporal Representation Learning.

David Fan, Jue Wang, Shuai Liao, Yi Zhu, Vimal Bhat, Hector J. Santos-Villalobos, Rohith MV, Xinyu Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Shot Contrastive Self-Supervised Learning for Scene Boundary Detection.

Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid

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

2020

OASIS: A Large-Scale Dataset for Single Image 3D in the Wild.

Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020