De-An Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
12
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | STORM: Token-Efficient Long Video Understanding for Multimodal LLMs. | Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2024 | CVPR | What is Point Supervision Worth in Video Instance Segmentation? | Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, Jos M. lvarez, Abhinav Shrivastava, Anima Anandkumar |
| 2024 | CVPR | Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. | Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar |
| 2024 | ECCV | LITA: Language Instructed Temporal-Localization Assistant. | De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. | Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar |
| 2024 | IROS | ARDuP: Active Region Video Diffusion for Universal Policies. | Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava |
| 2024 | WACV | 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 |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar |
| 2023 | ICML | I | Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar |
| 2022 | ECCV | 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 |
| 2021 | ICML | 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 |
| 2020 | CVPR | Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. | Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles |
| 2020 | ECCV | Procedure Planning in Instructional Videos. | Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles |
| 2020 | ICRA | Motion Reasoning for Goal-Based Imitation Learning. | De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox |
| 2019 | CVPR | D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. | Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles |
| 2019 | CVPR | Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. | De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles |
| 2019 | ICCV | Imitation Learning for Human Pose Prediction. | Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles |
| 2019 | IROS | Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. | De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles |
| 2019 | WACV | Action-Agnostic Human Pose Forecasting. | Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles |
| 2018 | CVPR | Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. | De-An Huang, Shyamal Buch, Lucio M. Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles |
| 2018 | CVPR | What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. | De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles |
| 2018 | ECCV | Neural Graph Matching Networks for Fewshot 3D Action Recognition. | Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei |
| 2018 | ECCV | Dynamic Task Prioritization for Multitask Learning. | Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei |
| 2018 | ECCV | 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 |
| 2017 | CVPR | Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. | De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles |
| 2017 | CVPR | Unsupervised Learning of Long-Term Motion Dynamics for Videos. | Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei |
| 2017 | CVPR | Forecasting Interactive Dynamics of Pedestrians with Fictitious Play. | Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani |
| 2017 | ICCV | Visual Forecasting by Imitating Dynamics in Natural Sequences. | Kuo-Hao Zeng, William B. Shen, De-An Huang, Min Sun, Juan Carlos Niebles |
| 2016 | ECCV | Connectionist Temporal Modeling for Weakly Supervised Action Labeling. | De-An Huang, Li Fei-Fei, Juan Carlos Niebles |
| 2015 | AAAI | 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 |
| 2015 | CVPR | How do we use our hands? Discovering a diverse set of common grasps. | De-An Huang, Minghuang Ma, Wei-Chiu Ma, Kris M. Kitani |
| 2014 | ECCV | Action-Reaction: Forecasting the Dynamics of Human Interaction. | De-An Huang, Kris M. Kitani |
| 2013 | ICCV | Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition. | De-An Huang, Yu-Chiang Frank Wang |
| 2012 | ICCAD | Compiling program control flows into biochemical reactions. | De-An Huang, Jie-Hong R. Jiang, Ruei-Yang Huang, Chi-Yun Cheng |
| 2012 | VCIP | Context-aware single image super-resolution using locality-constrained group sparse representation. | Chih-Yun Tsai, De-An Huang, Min-Chun Yang, Li-Wei Kang, Yu-Chiang Frank Wang |