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2020 – today
- 2022
[j11]Xiang Long
, Gerard de Melo, Dongliang He, Fu Li, Zhizhen Chi, Shilei Wen, Chuang Gan:
Purely Attention Based Local Feature Integration for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2140-2154 (2022)- [j10]Ji Lin, Chuang Gan, Kuan Wang, Song Han:
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2760-2774 (2022) - [j9]Xiangpeng Li, Bo Wu, Jingkuan Song, Lianli Gao, Pengpeng Zeng, Chuang Gan:
Text-instance graph: Exploring the relational semantics for text-based visual question answering. Pattern Recognit. 124: 108455 (2022) - [i86]Xueyi Liu, Xiaomeng Xu, Anyi Rao, Chuang Gan, Li Yi:
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation. CoRR abs/2203.06558 (2022) - [i85]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. CoRR abs/2203.13344 (2022) - [i84]Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum:
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. CoRR abs/2203.16639 (2022) - [i83]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR abs/2203.17275 (2022) - [i82]Andrew Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. CoRR abs/2204.00628 (2022) - [i81]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2205.01089 (2022) - [i80]Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR abs/2205.02834 (2022) - [i79]Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. CoRR abs/2205.02835 (2022) - [i78]Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan:
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. CoRR abs/2205.05678 (2022) - [i77]Han Cai, Chuang Gan, Song Han:
EfficientViT: Enhanced Linear Attention for High-Resolution Low-Computation Visual Recognition. CoRR abs/2205.14756 (2022) - [i76]Chengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, Wenbing Huang:
SNAKE: Shape-aware Neural 3D Keypoint Field. CoRR abs/2206.01724 (2022) - 2021
- [j8]Zhengzheng Tu, Ajian Zhou, Chuang Gan, Bo Jiang, Amir Hussain, Bin Luo:
A novel domain activation mapping-guided network (DA-GNT) for visual tracking. Neurocomputing 449: 443-454 (2021) - [j7]Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan:
A Real-Time Action Representation With Temporal Encoding and Deep Compression. IEEE Trans. Circuits Syst. Video Technol. 31(2): 647-660 (2021) - [c81]Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan:
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. AAAI 2021: 1045-1053 - [c80]Wenhao Wu, Dongliang He, Tianwei Lin, Fu Li, Chuang Gan, Errui Ding:
MVFNet: Multi-View Fusion Network for Efficient Video Recognition. AAAI 2021: 2943-2951 - [c79]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Single Demonstration. AAAI 2021: 11024-11032 - [c78]Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CVPR 2021: 8465-8474 - [c77]Yilun Du, Chuang Gan, Phillip Isola:
Curious Representation Learning for Embodied Intelligence. ICCV 2021: 10388-10397 - [c76]Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. ICLR 2021 - [c75]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. ICLR 2021 - [c74]Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. ICLR 2021 - [c73]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. ICLR 2021 - [c72]Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li:
Adversarial Option-Aware Hierarchical Imitation Learning. ICML 2021: 5097-5106 - [c71]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Prosody Style Transfer Without Text Transcriptions. ICML 2021: 8650-8660 - [c70]Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman:
AGENT: A Benchmark for Core Psychological Reasoning. ICML 2021: 9614-9625 - [c69]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. IJCAI 2021: 2804-2811 - [c68]Qingyuan Zhan, Guixing Wu, Chuang Gan:
MAGCN: A Multi-Adaptive Graph Convolutional Network for Traffic Forecasting. IJCNN 2021: 1-8 - [c67]Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola:
OPEn: An Open-ended Physics Environment for Learning Without a Task. IROS 2021: 5878-5885 - [c66]Pengzhan Sun, Bo Wu, Xunsong Li, Wen Li, Lixin Duan, Chuang Gan:
Counterfactual Debiasing Inference for Compositional Action Recognition. ACM Multimedia 2021: 3220-3228 - [c65]Yuhan Zhang, Bo Wu, Wen Li, Lixin Duan, Chuang Gan:
STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition. ACM Multimedia 2021: 3229-3237 - [c64]Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan:
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. NeurIPS 2021: 887-899 - [c63]Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021: 21480-21492 - [c62]Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks 2021 - [c61]Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han:
Memory-efficient Patch-based Inference for Tiny Deep Learning. NeurIPS 2021: 2346-2358 - [c60]Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. NeurIPS 2021: 17427-17440 - [c59]Bo Wu, Shoubin Yu, Zhenfang Chen, Josh Tenenbaum, Chuang Gan:
STAR: A Benchmark for Situated Reasoning in Real-World Videos. NeurIPS Datasets and Benchmarks 2021 - [c58]Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong:
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). WSDM 2021: 1161-1162 - [i75]Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. CoRR abs/2102.10454 (2021) - [i74]Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman:
AGENT: A Benchmark for Core Psychological Reasoning. CoRR abs/2102.12321 (2021) - [i73]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. CoRR abs/2103.10972 (2021) - [i72]Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum:
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. CoRR abs/2103.14025 (2021) - [i71]Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda:
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. CoRR abs/2103.15145 (2021) - [i70]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. CoRR abs/2103.16564 (2021) - [i69]Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. CoRR abs/2104.03311 (2021) - [i68]Yilun Du, Chuang Gan, Phillip Isola:
Curious Representation Learning for Embodied Intelligence. CoRR abs/2105.01060 (2021) - [i67]Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CoRR abs/2105.04836 (2021) - [i66]Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li:
Adversarial Option-Aware Hierarchical Imitation Learning. CoRR abs/2106.05530 (2021) - [i65]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. CoRR abs/2106.05891 (2021) - [i64]Shaobo Min, Qi Dai, Hongtao Xie, Chuang Gan, Yongdong Zhang, Jingdong Wang:
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning. CoRR abs/2106.06939 (2021) - [i63]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Rhythm Style Transfer Without Text Transcriptions. CoRR abs/2106.08519 (2021) - [i62]Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan:
Certifiably Robust Interpretation via Renyi Differential Privacy. CoRR abs/2107.01561 (2021) - [i61]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised Audiovisual Representation Learning for Remote Sensing Data. CoRR abs/2108.00688 (2021) - [i60]Ji Lin, Chuang Gan, Kuan Wang, Song Han:
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device. CoRR abs/2109.13227 (2021) - [i59]Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola:
OPEn: An Open-ended Physics Environment for Learning Without a Task. CoRR abs/2110.06912 (2021) - [i58]Han Cai, Chuang Gan, Ji Lin, Song Han:
Network Augmentation for Tiny Deep Learning. CoRR abs/2110.08890 (2021) - [i57]Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han:
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning. CoRR abs/2110.15352 (2021) - [i56]Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. CoRR abs/2110.15358 (2021) - [i55]Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? CoRR abs/2111.01124 (2021) - [i54]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. CoRR abs/2112.00302 (2021) - [i53]Yining Hong, Li Yi, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. CoRR abs/2112.05136 (2021) - 2020
- [j6]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound From Videos. IEEE Trans. Image Process. 29: 8292-8302 (2020) - [j5]Peihao Chen, Chuang Gan, Guangyao Shen, Wenbing Huang, Runhao Zeng, Mingkui Tan:
Relation Attention for Temporal Action Localization. IEEE Trans. Multim. 22(10): 2723-2733 (2020) - [c57]Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan:
Location-Aware Graph Convolutional Networks for Video Question Answering. AAAI 2020: 11021-11028 - [c56]Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han:
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. ACL 2020: 7675-7688 - [c55]Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. CVPR 2020: 10284-10293 - [c54]Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. CVPR 2020: 10475-10484 - [c53]Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han:
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) 2020: 578-595 - [c52]Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba:
Foley Music: Learning to Generate Music from Videos. ECCV (11) 2020: 758-775 - [c51]Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang:
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. EMNLP (1) 2020: 7755-7765 - [c50]Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han:
Once-for-All: Train One Network and Specialize it for Efficient Deployment. ICLR 2020 - [c49]Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: Collision Events for Video Representation and Reasoning. ICLR 2020 - [c48]Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Deep Audio Priors Emerge From Harmonic Convolutional Networks. ICLR 2020 - [c47]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. ICRA 2020: 9701-9707 - [c46]Haoming Xu, Runhao Zeng, Qingyao Wu, Mingkui Tan, Chuang Gan:
Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization. ACM Multimedia 2020: 3893-3901 - [c45]Xin Li, Tianwei Lin, Xiao Liu, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen, Chuang Gan:
Deep Concept-wise Temporal Convolutional Networks for Action Localization. ACM Multimedia 2020: 4004-4012 - [c44]Wu Liu, Chuang Gan, Jingkuan Song, Dingwen Zhang, Wenbing Huang, John Smith:
HUMA'20: 1st International Workshop on Human-Centric Multimedia Analysis. ACM Multimedia 2020: 4763-4764 - [c43]Han Cai, Chuang Gan, Ligeng Zhu, Song Han:
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning. NeurIPS 2020 - [c42]Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han:
MCUNet: Tiny Deep Learning on IoT Devices. NeurIPS 2020 - [e1]Wu Liu, Chuang Gan, John R. Smith, Jingkuan Song, Dingwen Zhang, Wenbing Huang:
HuMA'20: Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, Seattle, WA, USA, October12, 2020. ACM 2020, ISBN 978-1-4503-8151-2 [contents] - [i52]Chi Han, Jiayuan Mao, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. CoRR abs/2002.01464 (2020) - [i51]Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. CoRR abs/2004.03545 (2020) - [i50]Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. CoRR abs/2004.09476 (2020) - [i49]Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han:
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR abs/2005.14187 (2020) - [i48]Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan:
A Real-time Action Representation with Temporal Encoding and Deep Compression. CoRR abs/2006.09675 (2020) - [i47]Kun Liu, Xun Yang, Tat-Seng Chua, Huadong Ma, Chuang Gan:
Language Guided Networks for Cross-modal Moment Retrieval. CoRR abs/2006.10457 (2020) - [i46]Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR abs/2007.04954 (2020) - [i45]Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han:
MCUNet: Tiny Deep Learning on IoT Devices. CoRR abs/2007.10319 (2020) - [i44]Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba:
Foley Music: Learning to Generate Music from Videos. CoRR abs/2007.10984 (2020) - [i43]Han Cai, Chuang Gan, Ligeng Zhu, Song Han:
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning. CoRR abs/2007.11622 (2020) - [i42]Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. CoRR abs/2007.13729 (2020) - [i41]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound from Videos. CoRR abs/2008.00820 (2020) - [i40]Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan:
Location-aware Graph Convolutional Networks for Video Question Answering. CoRR abs/2008.09105 (2020) - [i39]Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang:
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. CoRR abs/2010.02386 (2020) - [i38]Yu Sun, Qian Bao, Wu Liu, Wenpeng Gao, Yili Fu, Chuang Gan, Tao Mei:
Synthetic Training for Monocular Human Mesh Recovery. CoRR abs/2010.14036 (2020) - [i37]Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan:
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. CoRR abs/2011.07949 (2020) - [i36]Wenhao Wu, Dongliang He, Tianwei Lin, Fu Li, Chuang Gan, Errui Ding:
MVFNet: Multi-View Fusion Network for Efficient Video Recognition. CoRR abs/2012.06977 (2020) - [i35]Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan:
Object-Centric Diagnosis of Visual Reasoning. CoRR abs/2012.11587 (2020) - [i34]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Demonstration. CoRR abs/2012.12469 (2020)
2010 – 2019
- 2019
- [j4]Wen-bing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, Chuang Gan:
Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks. IEEE Trans. Image Process. 28(4): 1773-1782 (2019) - [j3]Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan:
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization. IEEE Trans. Image Process. 28(12): 5797-5808 (2019) - [c41]Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. AAAI 2019: 3510-3517 - [c40]Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen:
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. AAAI 2019: 8401-8408 - [c39]Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan:
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering. AAAI 2019: 8658-8665 - [c38]Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba:
Self-Supervised Segmentation and Source Separation on Videos. CVPR Workshops 2019: 0 - [c37]Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba:
Self-supervised Audio-visual Co-segmentation. ICASSP 2019: 2357-2361 - [c36]Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba:
The Sound of Motions. ICCV 2019: 1735-1744 - [c35]Chuang Gan, Hang Zhao, Peihao Chen, David D. Cox, Antonio Torralba:
Self-Supervised Moving Vehicle Tracking With Stereo Sound. ICCV 2019: 7052-7061 - [c34]Ji Lin, Chuang Gan, Song Han:
TSM: Temporal Shift Module for Efficient Video Understanding. ICCV 2019: 7082-7092 - [c33]Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang:
Graph Convolutional Networks for Temporal Action Localization. ICCV 2019: 7093-7102 - [c32]Ji Lin, Chuang Gan, Song Han:
Defensive Quantization: When Efficiency Meets Robustness. ICLR (Poster) 2019 - [c31]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. ICLR 2019 - [c30]Xuguang Duan, Qi Wu, Chuang Gan, Yiwei Zhang, Wenbing Huang, Anton van den Hengel, Wenwu Zhu:
Watch, Reason and Code: Learning to Represent Videos Using Program. ACM Multimedia 2019: 1543-1551 - [c29]Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang, Wenwu Zhu, Boqing Gong:
Facial Image-to-Video Translation by a Hidden Affine Transformation. ACM Multimedia 2019: 2505-2513 - [c28]