Huang, De-An

38 publications

CVPR 2025 Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu

NeurIPS 2025 Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu

ICLR 2025 Eagle: Exploring the Design Space for Multimodal LLMs with Mixture of Encoders Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu

CVPR 2025 NVILA: Efficient Frontier Visual Language Models Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

CVPR 2025 Omni-RGPT: Unifying Image and Video Region-Level Understanding via Token Marks Miran Heo, Min-Hung Chen, De-An Huang, Sifei Liu, Subhashree Radhakrishnan, Seon Joo Kim, Yu-Chiang Frank Wang, Ryo Hachiuma

ICLR 2025 T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar

WACV 2024 Differentially Private Video Activity Recognition Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar

ICLR 2024 Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar

ICLR 2024 Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar

ECCV 2024 LITA: Language Instructed Temporal-Localization Assistant De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz

CVPR 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

CVPRW 2024 What Is Point Supervision Worth in Video Instance Segmentation? Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar

TMLR 2023 Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar

NeurIPSW 2023 Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar

NeurIPSW 2023 Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar

ICML 2023 I$^2$SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar

ECCVW 2022 Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-Task Video Understanding Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli

NeurIPS 2022 MinVIS: A Minimal Video Instance Segmentation Framework Without Video-Based Training De-An Huang, Zhiding Yu, Anima Anandkumar

NeurIPS 2022 MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar

NeurIPS 2022 Pre-Trained Language Models for Interactive Decision-Making Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu

NeurIPS 2022 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao

ICML 2021 SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar

ECCV 2020 Procedure Planning in Instructional Videos Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

WACV 2019 Action-Agnostic Human Pose Forecasting Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles

NeurIPS 2019 Regression Planning Networks Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li F Fei-Fei

ECCV 2018 Dynamic Task Prioritization for Multitask Learning Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei

NeurIPS 2018 Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li F Fei-Fei, Juan Carlos Niebles

ECCV 2018 Neural Graph Matching Networks for Fewshot 3D Action Recognition Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei

ECCV 2018 Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles

CVPR 2017 Forecasting Interactive Dynamics of Pedestrians with Fictitious Play Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

CVPR 2017 Unsupervised Learning of Long-Term Motion Dynamics for Videos Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei

CVPR 2017 Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles

ICCV 2017 Visual Forecasting by Imitating Dynamics in Natural Sequences Kuo-Hao Zeng, William B. Shen, De-An Huang, Min Sun, Juan Carlos Niebles

ECCV 2016 Connectionist Temporal Modeling for Weakly Supervised Action Labeling De-An Huang, Li Fei-Fei, Juan Carlos Niebles

AAAI 2015 Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions De-An Huang, Amir-massoud Farahmand, Kris M. Kitani, James Andrew Bagnell

CVPR 2015 How Do We Use Our Hands? Discovering a Diverse Set of Common Grasps De-An Huang, Minghuang Ma, Wei-Chiu Ma, Kris M. Kitani

ECCV 2014 Action-Reaction: Forecasting the Dynamics of Human Interaction De-An Huang, Kris M. Kitani

ICCV 2013 Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition De-An Huang, Yu-Chiang Frank Wang