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Generative Text Modeling through Short Run Inference


Jun 08, 2021
Bo Pang, Erik Nijkamp, Tian Han, Ying Nian Wu

* 10 pages 

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Trajectory Prediction with Latent Belief Energy-Based Model


Apr 07, 2021
Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu

* 13 pages 

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PGT: A Progressive Method for Training Models on Long Videos


Mar 21, 2021
Bo Pang, Gao Peng, Yizhuo Li, Cewu Lu

* CVPR2021 oral 
* CVPR21, Oral 

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TDAF: Top-Down Attention Framework for Vision Tasks


Dec 14, 2020
Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu

* Conference paper in AAAI 2021 

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Understanding Guided Image Captioning Performance across Domains


Dec 04, 2020
Edwin G. Ng, Bo Pang, Piyush Sharma, Radu Soricut

* 13 pages, 7 figures 

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Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling


Oct 19, 2020
Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu

* work in progress 

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Learning Latent Space Energy-Based Prior Model for Molecule Generation


Oct 19, 2020
Bo Pang, Tian Han, Ying Nian Wu


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Unsupervised Constrative Person Re-identification


Oct 15, 2020
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu


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Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation


Sep 01, 2020
Bo Pang, Zhong-Ping Jiang

* arXiv admin note: text overlap with arXiv:2005.09528 

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ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation


Aug 12, 2020
Hanwen Cao, Yongyi Lu, Cewu Lu, Bo Pang, Gongshen Liu, Alan Yuille

* The British Machine Vision Conference (BMVC) 

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Learning Latent Space Energy-Based Prior Model


Jun 15, 2020
Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

* 22 pages, 4 figures 

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Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC


Jun 12, 2020
Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu


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Single Image Deraining via Scale-space Invariant Attention Neural Network


Jun 11, 2020
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu


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Joint Training of Variational Auto-Encoder and Latent Energy-Based Model


Jun 10, 2020
Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu


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TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model


Jun 10, 2020
Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu

* CVPR-2020 oral paper 

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Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts


May 30, 2020
Bo Pang, Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu, Cewu Lu

* Nat Mach Intell 2, 24-253 (2020) 
* 15 pages, 5 figures, 8 tables 

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NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results


May 06, 2020
Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen

* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 

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Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube


Apr 29, 2020
Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut

* 8 pages including supplementary materials 

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Asynchronous Interaction Aggregation for Action Detection


Apr 16, 2020
Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu


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Learning Deep Generative Models with Short Run Inference Dynamics


Dec 14, 2019
Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu


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A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions


Oct 07, 2019
Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut

* Published in The SIGNLL Conference on Computational Natural Language Learning (CoNLL) 2019 

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CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases


Sep 11, 2019
Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S Lasecki, Dragomir Radev

* Accepted to EMNLP 2019, long paper 

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Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering


Sep 04, 2019
Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut

* The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) 

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SParC: Cross-Domain Semantic Parsing in Context


Jun 05, 2019
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev

* Accepted to ACL 2019, long paper 

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Deep RNN Framework for Visual Sequential Applications


Nov 28, 2018
Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu

* 12 pages, 9 figures 

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Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model


Feb 12, 2018
Bo Pang, Kaiwen Zha, Cewu Lu


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