Bowen Pan

Bowen Pan (潘柏文)

I am a 5th-year Ph.D. student in CSAIL, MIT, advised by Prof. Aude Oliva. Before coming to MIT, I received the B.E. in Electronic Engineering from Shanghai Jiao Tong University in 2019.

Email / Scholar / Github

Education

Massachusetts Institute of Technology, USA
Ph.D. student • Sept. 2019 to Present

Shanghai Jiao Tong University, China
Bachelor of Engineering • Sept. 2015 to Jun. 2019

Publication

	Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda arXiv:2404.05567, 2024 Area: LLM, Mixture-of-Experts [Blog] [Paper]
	LangNav: Language as a Perceptual Representation for Navigation Bowen Pan, Rameswar Panda, SouYoung Jin, Rogerio Feris, Aude Oliva, Phillip Isola, Yoon Kim To appear in North American Chapter of the Association for Computational Linguistics (NAACL), 2024 Area: Embodied AI, LLM [Paper]
	HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World Xin Wang, Taein Kwon, Mahdi Rad, Bowen Pan, Ishani Chakraborty, Sean Andrist, Dan Bohus, Ashley Feniello, Bugra Tekin, Felipe Vieira Frujeri, Neel Joshi, Marc Pollefeys International Conference on Computer Vision (ICCV), 2023 Area: Video Understanding [Project Page] [Paper]
	Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogerio Feris, Aude Oliva IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Area: Video Understanding [Project Page] [PDF]
	Argoverse 2.0: Next Generation Datasets for Self-Driving Perception and Forecasting Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays Thirty-fifth Conference on Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS 2021) Area: Self-driving, Outdoor Scene Understanding [Paper] [Code]
	IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformer Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogerio Feris, Aude Oliva Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) Area: Interpretability, Efficient Inference, Video Understanding, Vision Transformer [Project Page] [PDF]
	VA-RED²: Video Adaptive Redundancy Reduction Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogerio Feris Ninth International Conference on Learning Representations (ICLR 2021) Area: Efficient Inference, Video Understanding [Project Page] [PDF]
	Cross-view Semantic Segmentation for Sensing Surroundings Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung, Alex Andonian, Bolei Zhou IEEE Robotics and Automation Letters (RA-L) and IROS 2020 Area: Environment Understanding, Visual Navigation [Project Page] [PDF]
	Recurrent Residual Module for Fast Inference in Videos Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu Computer Vision and Pattern Recognition (CVPR 2018) [PDF] Area: Efficient Inference, Video Analysis We introduce a highly-efficient algorithm for video inference which makes use of the appearance similarity between two adjacent frames.
	PoseHD: Boosting Human Detectors using Human Pose Information Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu AAAI Conference on Artificial Intelligence (AAAI 2018) [PDF] Area: Pedestrain Detection, Pose Estimation We propose a original framework to boost human detection by utilizing skeleton information.