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2020 – today
- 2024
[c43]Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar:
What is Point Supervision Worth in Video Instance Segmentation? CVPR Workshops 2024: 2671-2681- [c42]Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar:
Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. CVPR 2024: 23838-23848 - [c41]Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar:
Eureka: Human-Level Reward Design via Coding Large Language Models. ICLR 2024 - [c40]Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar:
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. ICLR 2024 - [c39]Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar:
Differentially Private Video Activity Recognition. WACV 2024: 6643-6653 - [i36]Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar:
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. CoRR abs/2402.14167 (2024) - [i35]Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar:
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. CoRR abs/2403.14148 (2024) - [i34]De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz:
LITA: Language Instructed Temporal-Localization Assistant. CoRR abs/2403.19046 (2024) - [i33]Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar:
What is Point Supervision Worth in Video Instance Segmentation? CoRR abs/2404.01990 (2024) - [i32]Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin:
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR abs/2405.19335 (2024) - [i31]Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava:
ARDuP: Active Region Video Diffusion for Universal Policies. CoRR abs/2406.13301 (2024) - [i30]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:
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. CoRR abs/2408.15998 (2024) - 2023
- [j4]Andrew J. Hung
, Richard Bao, Idris O. Sunmola, De-An Huang, Jessica H. Nguyen, Anima Anandkumar:
Capturing fine-grained details for video-based automation of suturing skills assessment. Int. J. Comput. Assist. Radiol. Surg. 18(3): 545-552 (2023) - [j3]Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar:
Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data. Trans. Mach. Learn. Res. 2023 (2023) - [c38]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:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) 2023: 11844-11857 - [c37]Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar:
I2SB: Image-to-Image Schrödinger Bridge. ICML 2023: 22042-22062 - [c36]Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung:
Deep Multimodal Fusion for Surgical Feedback Classification. ML4H@NeurIPS 2023: 256-267 - [i29]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR abs/2302.04858 (2023) - [i28]Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar:
I2SB: Image-to-Image Schrödinger Bridge. CoRR abs/2302.05872 (2023) - [i27]Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar:
PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. CoRR abs/2302.06637 (2023) - [i26]Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar:
Differentially Private Video Activity Recognition. CoRR abs/2306.15742 (2023) - [i25]Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar:
Eureka: Human-Level Reward Design via Coding Large Language Models. CoRR abs/2310.12931 (2023) - [i24]Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung:
Deep Multimodal Fusion for Surgical Feedback Classification. CoRR abs/2312.03231 (2023) - 2022
- [j2]Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg:
PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks. IEEE Robotics Autom. Lett. 7(2): 4924-4930 (2022) - [c35]Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. ECCV Workshops (6) 2022: 317-333 - [c34]Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar:
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. NeurIPS 2022 - [c33]De-An Huang, Zhiding Yu, Anima Anandkumar:
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. NeurIPS 2022 - [c32]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:
Pre-Trained Language Models for Interactive Decision-Making. NeurIPS 2022 - [c31]Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao:
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models. NeurIPS 2022 - [i23]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:
Pre-Trained Language Models for Interactive Decision-Making. CoRR abs/2202.01771 (2022) - [i22]Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar:
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. CoRR abs/2206.08853 (2022) - [i21]De-An Huang, Zhiding Yu, Anima Anandkumar:
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. CoRR abs/2208.02245 (2022) - [i20]Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. CoRR abs/2208.10077 (2022) - [i19]Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao:
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models. CoRR abs/2209.07511 (2022) - 2021
- [c30]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. ICML 2021: 3088-3099 - [i18]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. CoRR abs/2106.09678 (2021) - [i17]Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg:
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks. CoRR abs/2109.04869 (2021) - [i16]Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg:
Auditing AI models for Verified Deployment under Semantic Specifications. CoRR abs/2109.12456 (2021) - 2020
- [b1]De-An Huang:
Purposive visual imitation for learning structured tasks from videos. Stanford University, USA, 2020 - [c29]Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles:
Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. CVPR 2020: 10867-10876 - [c28]Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. ECCV (11) 2020: 334-350 - [c27]De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox:
Motion Reasoning for Goal-Based Imitation Learning. ICRA 2020: 4878-4884 - [i15]Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles:
Spatio-Temporal Graph for Video Captioning with Knowledge Distillation. CoRR abs/2003.13942 (2020)
2010 – 2019
- 2019
- [c26]Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. CVPR 2019: 3546-3555 - [c25]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. CVPR 2019: 8565-8574 - [c24]Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles:
Imitation Learning for Human Pose Prediction. ICCV 2019: 7123-7132 - [c23]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. IROS 2019: 2635-2642 - [c22]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. NeurIPS 2019: 1317-1327 - [c21]Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles:
Action-Agnostic Human Pose Forecasting. WACV 2019: 1423-1432 - [i14]Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. CoRR abs/1901.02598 (2019) - [i13]Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. CoRR abs/1907.01172 (2019) - [i12]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. CoRR abs/1908.06769 (2019) - [i11]Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles:
Imitation Learning for Human Pose Prediction. CoRR abs/1909.03449 (2019) - [i10]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. CoRR abs/1909.13072 (2019) - [i9]De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox:
Motion Reasoning for Goal-Based Imitation Learning. CoRR abs/1911.05864 (2019) - 2018
- [c20]De-An Huang, Shyamal Buch, Lucio M. Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles:
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. CVPR 2018: 5948-5957 - [c19]De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles:
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR 2018: 7366-7375 - [c18]Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei:
Dynamic Task Prioritization for Multitask Learning. ECCV (16) 2018: 282-299 - [c17]Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. ECCV (3) 2018: 569-586 - [c16]Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei:
Neural Graph Matching Networks for Fewshot 3D Action Recognition. ECCV (1) 2018: 673-689 - [c15]Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Learning to Decompose and Disentangle Representations for Video Prediction. NeurIPS 2018: 515-524 - [i8]Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Learning to Decompose and Disentangle Representations for Video Prediction. CoRR abs/1806.04166 (2018) - [i7]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration. CoRR abs/1807.03480 (2018) - [i6]Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles:
Action-Agnostic Human Pose Forecasting. CoRR abs/1810.09676 (2018) - 2017
- [c14]De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. CVPR 2017: 1032-1041 - [c13]Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani:
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play. CVPR 2017: 4636-4644 - [c12]Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei:
Unsupervised Learning of Long-Term Motion Dynamics for Videos. CVPR 2017: 7101-7110 - [c11]Kuo-Hao Zeng, William B. Shen, De-An Huang, Min Sun, Juan Carlos Niebles:
Visual Forecasting by Imitating Dynamics in Natural Sequences. ICCV 2017: 3018-3027 - [p1]Kris M. Kitani, De-An Huang, Wei-Chiu Ma:
Activity Forecasting: An Invitation to Predictive Perception. Group and Crowd Behavior for Computer Vision 2017: 273-294 - [i5]Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei:
Unsupervised Learning of Long-Term Motion Dynamics for Videos. CoRR abs/1701.01821 (2017) - [i4]De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. CoRR abs/1703.02521 (2017) - [i3]Kuo-Hao Zeng, William B. Shen, De-An Huang, Min Sun, Juan Carlos Niebles:
Visual Forecasting by Imitating Dynamics in Natural Sequences. CoRR abs/1708.05827 (2017) - 2016
- [c10]De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Connectionist Temporal Modeling for Weakly Supervised Action Labeling. ECCV (4) 2016: 137-153 - [i2]Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani:
A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting. CoRR abs/1604.01431 (2016) - [i1]De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Connectionist Temporal Modeling for Weakly Supervised Action Labeling. CoRR abs/1607.08584 (2016) - 2015
- [c9]De-An Huang, Amir-massoud Farahmand, Kris M. Kitani, James Andrew Bagnell:
Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions. AAAI 2015: 2673-2679 - [c8]De-An Huang, Minghuang Ma, Wei-Chiu Ma, Kris M. Kitani:
How do we use our hands? Discovering a diverse set of common grasps. CVPR 2015: 666-675 - 2014
- [j1]De-An Huang, Li-Wei Kang, Yu-Chiang Frank Wang, Chia-Wen Lin:
Self-Learning Based Image Decomposition With Applications to Single Image Denoising. IEEE Trans. Multim. 16(1): 83-93 (2014) - [c7]De-An Huang, Kris M. Kitani:
Action-Reaction: Forecasting the Dynamics of Human Interaction. ECCV (7) 2014: 489-504 - 2013
- [c6]De-An Huang, Yu-Chiang Frank Wang:
Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition. ICCV 2013: 2496-2503 - [c5]De-An Huang, Yu-Chiang Frank Wang:
With one look: robust face recognition using single sample per person. ACM Multimedia 2013: 601-604 - 2012
- [c4]De-An Huang, Jie-Hong R. Jiang, Ruei-Yang Huang, Chi-Yun Cheng:
Compiling program control flows into biochemical reactions. ICCAD 2012: 361-368 - [c3]De-An Huang, Li-Wei Kang, Min-Chun Yang, Chia-Wen Lin, Yu-Chiang Frank Wang:
Context-Aware Single Image Rain Removal. ICME 2012: 164-169 - [c2]Min-Chun Yang, De-An Huang, Chih-Yun Tsai, Yu-Chiang Frank Wang:
Self-Learning of Edge-Preserving Single Image Super-Resolution via Contourlet Transform. ICME 2012: 574-579 - [c1]Chih-Yun Tsai, De-An Huang, Min-Chun Yang, Li-Wei Kang, Yu-Chiang Frank Wang:
Context-aware single image super-resolution using locality-constrained group sparse representation. VCIP 2012: 1-6
Coauthor Index
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