De-An Huang

According to our database, De-An Huang authored at least 58 papers between 2012 and 2024.

Collaborative distances:

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

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, Jan Kautz, Zhiding Yu, Guilin Liu

CoRR, 2024

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

CoRR, 2024

X-VILA: Cross-Modality Alignment for Large Language Model.

Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin

CoRR, 2024

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

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.

Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LITA: Language Instructed Temporal-Localization Assistant.

De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz

Proceedings of the Computer Vision - ECCV 2024, 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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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., March, 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

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.

Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

CoRR, 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

Proceedings of the Machine Learning for Health, 2023

I²SB: Image-to-Image Schrödinger Bridge.

Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks.

Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg

IEEE Robotics Autom. Lett., 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training.

De-An Huang, Zhiding Yu, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Auditing AI models for Verified Deployment under Semantic Specifications.

Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg

CoRR, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Purposive visual imitation for learning structured tasks from videos.

De-An Huang

PhD thesis, 2020

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Procedure Planning in Instructional Videos.

Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Computer Vision - ECCV 2020, 2020

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

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

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, Juan Carlos Niebles

CoRR, 2019

Action-Agnostic Human Pose Forecasting.

Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Regression Planning Networks.

Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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, Juan Carlos Niebles

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Imitation Learning for Human Pose Prediction.

Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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, Juan Carlos Niebles

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning to Decompose and Disentangle Representations for Video Prediction.

Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Proceedings of the Computer Vision - ECCV 2018, 2018

Dynamic Task Prioritization for Multitask Learning.

Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

Neural Graph Matching Networks for Fewshot 3D Action Recognition.

Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Visual Forecasting by Imitating Dynamics in Natural Sequences.

Kuo-Hao Zeng, William B. Shen, De-An Huang, Min Sun, Juan Carlos Niebles

Proceedings of the IEEE International Conference on Computer Vision, 2017

Forecasting Interactive Dynamics of Pedestrians with Fictitious Play.

Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unsupervised Learning of Long-Term Motion Dynamics for Videos.

Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos.

De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Activity Forecasting: An Invitation to Predictive Perception.

Kris M. Kitani, De-An Huang, Wei-Chiu Ma

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting.

Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

CoRR, 2016

Connectionist Temporal Modeling for Weakly Supervised Action Labeling.

De-An Huang, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Computer Vision - ECCV 2016, 2016

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

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

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

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

Action-Reaction: Forecasting the Dynamics of Human Interaction.

De-An Huang, Kris M. Kitani

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

With one look: robust face recognition using single sample per person.

De-An Huang, Yu-Chiang Frank Wang

Proceedings of the ACM Multimedia Conference, 2013

Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition.

De-An Huang, Yu-Chiang Frank Wang

Proceedings of the IEEE International Conference on Computer Vision, 2013

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

Proceedings of the 2012 Visual Communications and Image Processing, 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

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Context-Aware Single Image Rain Removal.

De-An Huang, Li-Wei Kang, Min-Chun Yang, Chia-Wen Lin, Yu-Chiang Frank Wang

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Compiling program control flows into biochemical reactions.

De-An Huang, Jie-Hong R. Jiang, Ruei-Yang Huang, Chi-Yun Cheng

Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012