Compiling program control flows into biochemical reactions. - De-An Huang; Jie-Hong R. Jiang; Ruei-Yang Huang; Chi-Yun Cheng (ICCAD, 2012)

Context-Aware Single Image Rain Removal. - De-An Huang; Li-Wei Kang; Min-Chun Yang; Chia-Wen Lin; Yu-Chiang Frank Wang (ICME, 2012)

Self-Learning of Edge-Preserving Single Image Super-Resolution via Contourlet Transform. - Min-Chun Yang; De-An Huang; Chih-Yun Tsai; Yu-Chiang Frank Wang (ICME, 2012)

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 (VCIP, 2012)

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

With one look: robust face recognition using single sample per person. - De-An Huang; Yu-Chiang Frank Wang (ACM Multimedia, 2013)

Action-Reaction: Forecasting the Dynamics of Human Interaction. - De-An Huang; Kris M. Kitani (ECCV (7), 2014)

Self-Learning Based Image Decomposition With Applications to Single Image Denoising. - De-An Huang; Li-Wei Kang; Yu-Chiang Frank Wang; Chia-Wen Lin (IEEE Trans. Multim., 2014)

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 (AAAI, 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 (CVPR, 2015)

Connectionist Temporal Modeling for Weakly Supervised Action Labeling. - De-An Huang; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (4), 2016)

A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting. - Wei-Chiu Ma; De-An Huang; Namhoon Lee; Kris M. Kitani (CoRR, 2016)

Activity Forecasting: An Invitation to Predictive Perception. - Kris M. Kitani; De-An Huang; Wei-Chiu Ma (Group and Crowd Behavior for Computer Vision, 2017)

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. - De-An Huang; Joseph J. Lim; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2017)

Unsupervised Learning of Long-Term Motion Dynamics for Videos. - Zelun Luo; Boya Peng; De-An Huang; Alexandre Alahi; Li Fei-Fei 001 (CVPR, 2017)

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

Visual Forecasting by Imitating Dynamics in Natural Sequences. - Kuo-Hao Zeng; William B. Shen; De-An Huang; Min Sun 001; Juan Carlos Niebles (ICCV, 2017)

Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. - De-An Huang; Shyamal Buch; Lucio M. Dery; Animesh Garg; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2018)

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. - De-An Huang; Vignesh Ramanathan; Dhruv Mahajan 001; Lorenzo Torresani; Manohar Paluri; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2018)

Neural Graph Matching Networks for Fewshot 3D Action Recognition. - Michelle Guo; Edward Chou; De-An Huang; Shuran Song; Serena Yeung; Li Fei-Fei 001 (ECCV (1), 2018)

Dynamic Task Prioritization for Multitask Learning. - Michelle Guo; Albert Haque; De-An Huang; Serena Yeung; Li Fei-Fei 001 (ECCV (16), 2018)

Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. - Bingbin Liu; Serena Yeung; Edward Chou; De-An Huang; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (3), 2018)

Learning to Decompose and Disentangle Representations for Video Prediction. - Jun-Ting Hsieh; Bingbin Liu; De-An Huang; Li Fei-Fei 001; Juan Carlos Niebles (NeurIPS, 2018)

D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. - Chien-Yi Chang; De-An Huang; Yanan Sui; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2019)

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. - De-An Huang; Suraj Nair 003; Danfei Xu; Yuke Zhu; Animesh Garg; Li Fei-Fei 001; Silvio Savarese; Juan Carlos Niebles (CVPR, 2019)

Imitation Learning for Human Pose Prediction. - Borui Wang; Ehsan Adeli 001; Hsu-Kuang Chiu; De-An Huang; Juan Carlos Niebles (ICCV, 2019)

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. - De-An Huang; Danfei Xu; Yuke Zhu; Animesh Garg; Silvio Savarese; Li Fei-Fei 001; Juan Carlos Niebles (IROS, 2019)

Regression Planning Networks. - Danfei Xu; Roberto Martín-Martín; De-An Huang; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (NeurIPS, 2019)

Action-Agnostic Human Pose Forecasting. - Hsu-Kuang Chiu; Ehsan Adeli 001; Borui Wang; De-An Huang; Juan Carlos Niebles (WACV, 2019)

D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. - Chien-Yi Chang; De-An Huang; Yanan Sui; Li Fei-Fei 001; Juan Carlos Niebles (CoRR, 2019)

Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. - Boxiao Pan; Haoye Cai; De-An Huang; Kuan-Hui Lee; Adrien Gaidon; Ehsan Adeli 001; Juan Carlos Niebles (CVPR, 2020)

Procedure Planning in Instructional Videos. - Chien-Yi Chang; De-An Huang; Danfei Xu; Ehsan Adeli 001; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (11), 2020)

Motion Reasoning for Goal-Based Imitation Learning. - De-An Huang; Yu-Wei Chao; Chris Paxton 001; Xinke Deng; Li Fei-Fei 001; Juan Carlos Niebles; Animesh Garg; Dieter Fox (ICRA, 2020)

Purposive visual imitation for learning structured tasks from videos. - De-An Huang (2020)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei 001; Yuke Zhu; Animashree Anandkumar (ICML, 2021)

Auditing AI models for Verified Deployment under Semantic Specifications. - Homanga Bharadhwaj; De-An Huang; Chaowei Xiao; Anima Anandkumar; Animesh Garg (CoRR, 2021)

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 001 (ECCV Workshops (6), 2022)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. - Linxi Fan; Guanzhi Wang; Yunfan Jiang 001; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (NeurIPS, 2022)

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. - De-An Huang; Zhiding Yu; Anima Anandkumar (NeurIPS, 2022)

Pre-Trained Language Models for Interactive Decision-Making. - Shuang Li 013; Xavier Puig; Chris Paxton 001; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen 046; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (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 (NeurIPS, 2022)

PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks. - Jiankai Sun; De-An Huang; Bo Lu 001; Yun-Hui Liu 001; Bolei Zhou; Animesh Garg (IEEE Robotics Autom. Lett., 2022)

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. - Zhuolin Yang; Wei Ping; Zihan Liu 001; Vijay Korthikanti; Weili Nie; De-An Huang; Linxi Fan; Zhiding Yu; Shiyi Lan; Bo Li 026; Mohammad Shoeybi; Ming-Yu Liu 001; et al. (EMNLP (Findings), 2023)

I2SB: Image-to-Image Schrödinger Bridge. - Guan-Horng Liu; Arash Vahdat; De-An Huang; Evangelos A. Theodorou; Weili Nie; Anima Anandkumar (ICML, 2023)

Deep Multimodal Fusion for Surgical Feedback Classification. - Rafal Kocielnik; Elyssa Y. Wong; Timothy N. Chu; Lydia Lin; De-An Huang; Jiayun Wang; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2023)

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. - Chulin Xie; De-An Huang; Wenda Chu; Daguang Xu; Chaowei Xiao; Bo Li 026; Anima Anandkumar (CoRR, 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 (Trans. Mach. Learn. Res., 2023)

Capturing fine-grained details for video-based automation of suturing skills assessment. - Andrew J. Hung; Richard Bao; Idris O. Sunmola; De-An Huang; Jessica H. Nguyen; Anima Anandkumar (Int. J. Comput. Assist. Radiol. Surg., 2023)

What is Point Supervision Worth in Video Instance Segmentation? - Shuaiyi Huang; De-An Huang; Zhiding Yu; Shiyi Lan; Subhashree Radhakrishnan; José M. Álvarez 004; Abhinav Shrivastava; Anima Anandkumar (CVPR Workshops, 2024)

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. - Chulin Xie; De-An Huang; Wenda Chu; Daguang Xu; Chaowei Xiao; Bo Li 026; Anima Anandkumar (CVPR, 2024)

LITA: Language Instructed Temporal-Localization Assistant. - De-An Huang; Shijia Liao; Subhashree Radhakrishnan; Hongxu Yin; Pavlo Molchanov 001; Zhiding Yu; Jan Kautz (ECCV (64), 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 (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)

ARDuP: Active Region Video Diffusion for Universal Policies. - Shuaiyi Huang; Mara Levy; Zhenyu Jiang 002; Anima Anandkumar; Yuke Zhu; Linxi Fan; De-An Huang; Abhinav Shrivastava (IROS, 2024)

Differentially Private Video Activity Recognition. - Zelun Luo; Yuliang Zou; Yijin Yang; Zane Durante; De-An Huang; Zhiding Yu; Chaowei Xiao; Li Fei-Fei 001; Animashree Anandkumar (WACV, 2024)

X-VILA: Cross-Modality Alignment for Large Language Model. - Hanrong Ye; De-An Huang; Yao Lu 006; Zhiding Yu; Wei Ping; Andrew Tao; Jan Kautz; Song Han 003; Dan Xu 002; Pavlo Molchanov 001; Hongxu Yin (CoRR, 2024)

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. - Min Shi; Fuxiao Liu; Shihao Wang; Shijia Liao; Subhashree Radhakrishnan; De-An Huang; Hongxu Yin; Karan Sapra; Yaser Yacoob; Humphrey Shi; Bryan Catanzaro; Andrew Tao; et al. (CoRR, 2024)

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; Yunhao Fang; et al. (CoRR, 2024)

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 (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; et al. (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 (CVPR, 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 001; Anima Anandkumar (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; et al. (ICLR, 2025)

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. - Zhiqi Li; Guo Chen 006; Shilong Liu; Shihao Wang; Vibashan VS; Yishen Ji; Shiyi Lan; Hao Zhang 097; Yilin Zhao; Subhashree Radhakrishnan; Nadine Chang; Karan Sapra; et al. (CoRR, 2025)

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation. - Yue Zhao 006; Fuzhao Xue; Scott Reed; Linxi Fan; Yuke Zhu; Jan Kautz; Zhiding Yu; Philipp Krähenbühl; De-An Huang (CoRR, 2025)

Token-Efficient Long Video Understanding for Multimodal LLMs. - Jindong Jiang; Xiuyu Li; Zhijian Liu; Muyang Li; Guo Chen 006; Zhiqi Li; De-An Huang; Guilin Liu; Zhiding Yu; Kurt Keutzer; Sungjin Ahn; Jan Kautz; et al. (CoRR, 2025)

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models. - Guo Chen 006; Zhiqi Li; Shihao Wang; Jindong Jiang; Yicheng Liu; Lidong Lu; De-An Huang; Wonmin Byeon; Matthieu Le; Tuomas Rintamaki; Tyler Poon; Max Ehrlich; et al. (CoRR, 2025)

FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding. - De-An Huang; Subhashree Radhakrishnan; Zhiding Yu; Jan Kautz (CoRR, 2025)

VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding. - Shihao Wang; Guo Chen 006; De-An Huang; Zhiqi Li; Minghan Li; Guilin Li; José M. Álvarez 004; Lei Zhang; Zhiding Yu (CoRR, 2025)