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Preprints on ArXiv


* students I (co-)supervised.
= equal contribution among authors.

2021


    CVPR

MoViNets: Mobile Video Networks for Efficient Video Recognition

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021D Kondratyuk, L Yuan, Y Li, L Zhang, M Tan, M Brown, and B Gong
⟼ [ PDF ]     [ ArXiv ]     [ Code coming soon ]


    CVPR

Ranking Neural Checkpoints

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Y Li*, X Jia, R Sang, Y Zhu, B Green, L Wang, and B Gong
⟼ [ PDF ]     [ ArXiv ]     [ Code coming soon ]


    CVPR

Robust and Accurate Object Detection via Adversarial Learning

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 X Chen, C Xie, M Tan, L Zhang, C-J Hsieh, and B Gong
⟼ [ PDF ]     [ ArXiv ]     [ Detector checkpoints ]


    CVPR

Complete and Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 L Yi, B Gong, and T Funkhouser
⟼ [ PDF ]     [ ArXiv ]     


    CVPR

Adversarially Adaptive Normalization for Single Domain Generalization

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 X Fan, Q Wang, J Ke, F Yang, B Gong, and M Zhou
⟼ [ PDF coming soon ]


    CVPR

Spatiotemporal Contrastive Video Representation Learning

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 R Qian=, T Meng=, B Gong, M-H Yang, H Wang, S Belongie, and Y Cui
⟼ [ PDF ]     [ ArXiv ]     


    WACV

Analyzing Deep Neural Network’s Transferability via Fréchet Distance

IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 Y Ding, L Wang, and B Gong
⟼ [ PDF ]
2020


    CVPR

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral) M Jamal*, M Brown, L Wang, M Yang, and B Gong
⟼ [ PDF ]     [ ArXiv ]     [ Slides ]    [ Code ]


    CVPR

Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral) D Wang, Y Li*, L Wang, and B Gong
⟼ [ PDF ]     [ ArXiv ]     [ Code ]


    CVPR

Open Compound Domain Adaptation

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral) Z Liu=, Z Miao=, X Pan, X Zhan, D Lin, S Yu, and B Gong
⟼ [ PDF ]     [ ArXiv ]     [ Demo ]    [ Project page ]


    CVPR

Adversarial Examples Improve Image Recognition

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 C Xie, M Tan, B Gong, J Wang, A Yuille, and Q Le
⟼ [ PDF ]     [ ArXiv ]


    CVPR

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Y Zhang=*, Z Zhou=, P David, X Yue, Z Xi, B Gong, and H. Foroosh
⟼ [ PDF ]     [ Code ]


    ECCV

Improving Object Detection with Selective Self-Supervised Self-training

European Conference on Computer Vision (ECCV), 2020 Y Li*, D Huang, D Qin, and B Gong
⟼ [ ArXiv ]


    ICLR

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

International Conference on Learning Representations (ICLR), 2020 R Zhai, C Dan, D He, H Zhang, B Gong, P Ravikumar, C-J Hsieh, and L Wang
⟼ [ Openreview ]     [ PDF ]


    ICRA

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation

International Conference on Learning Representations (ICLR), 2020 C Gan=, Y Zhang=, J Wu, B Gong, and J Tenenbaum
⟼ [ PDF ]     [ Demo ]     [ Project page ]
2019


    ICCV

A Fast and Accurate One-Stage Approach to Visual Grounding

International Conference on Computer Vision (ICCV), 2019 (Oral)Z Yang, B Gong, L Wang, W Huang, D Yu, and J Luo
⟼ [ ArXiv ]     [ Code ]     [ Slides ]     [ Poster ]


    ICCV

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data

International Conference on Computer Vision (ICCV), 2019 X Yue, Y Zhang, S Zhao, A Sangiovanni-Vincentelli, K Keutzer, and B Gong
⟼ [ ArXiv ]     [ Code ]


    ICCV

Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach

International Conference on Computer Vision (ICCV), 2019 Q Lian, F Lv, L Duan, and B Gong
⟼ [ ArXiv ]     [ Code ]


    ICML

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks

International Conference on Machine Learning (ICML), 2019 (Spotlight)Y Li*=, L Li*=, L Wang, T Zhang, and B Gong
⟼ [ ArXiv ]     [ Code ]     [ Slides ]


    TPAMI

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Y Zhang*, P David, H Foroosh, and B Gong
⟼ [ ArXiv ]     [ Conference version ]    [ Code ]


    ICLR

CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild

International Conference on Learning Representations (ICLR), 2019 Y Zhang*, H Foroosh, P David, and B Gong
⟼ [ PDF ]     [ Openreview ]


    ICLR

DHER: Hindsight Experience Replay for Dynamic Goals

International Conference on Learning Representations (ICLR), 2019 M Fang, C Zhou, B Shi, B Gong, J Xu, and T Zhang
⟼ [ PDF ]      [ Openreview ]


    MM

Facial Image-to-Video Translation by a Hidden Affine Transformation

Proceedings of the 27th ACM International Conference on Multimedia (MM), 2019 G Shen, W Huang, C Gan, M Tan, J Huang, W Zhu, and B Gong
⟼ [ Paper ]     [ Code ]


    AAAI

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019 (Oral) L Fan, W Huang, C Gan, J Huang, and B Gong
⟼ [ PDF ]     [ Supplement ]


    CVPR

Large-Scale Long-Tailed Recognition in an Open World

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral) Z Liu=, Z Miao=, X Zhan, J Wang, B Gong, and S Yu
⟼ [ ArXiv ]     [ Data and code ]


    CVPR

Not All Frames Are Equal: Weakly-Supervised Video Grounding with Contextual Similarity and Visual Clustering Losses

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 J Shi, J Xu, B Gong, and X Xu
⟼ [ PDF ]


    WWW

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference

The Web Conference (WWW), 2019 (Oral) X Tang, B Gong, Y Yu, H Yao, Y Li, H Xie, and X Wang
⟼ [ PDF ]


  AISTATS

A Robust Zero-Sum Game Framework for Pool-based Active Learning

International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 D Zhu, Z Lin, X Wang, B Gong, and T Yang
⟼ [ PDF ]      [ Supplement ]


    WACV

End-to-End Video Captioning with Multitask Reinforcement Learning

IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 L Li* and B Gong
⟼ [ PDF ]      [ Supplement ]


    WACV

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy

IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Z He, B Gong, and D Fan
⟼ [ PDF ]      [ Supplement ]


    IJCV

Classifier and Exemplar Synthesis for Zero-Shot Learning

International Journal of Computer Vision (IJCV), 2019 S Changpinyo, WL Chao, B Gong, and F Sha
⟼ [ ArXiv ]     [ Code ]     [ Slides ]
2018


  NeurIPS

Synthesized Policies for Transfer and Adaptation across Environments and Tasks

Advances in Neural Information Processing Systems (NeurIPS), 2018 (Spotlight)H Hu=, L Chen=, B Gong, and F Sha
⟼ [ PDF ]      [ Supplement ]      [ Poster ]      [ Code ]


    CVPR



    TMSCS

Exploring A SOT-MRAM based In-Memory Computing for Data Processing

IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 2018 Z He, Z Yang*, S Angizi, B Gong, and D Fan
⟼ [ PDF ]


    CVPR

Synthesized Classifiers for Zero-Shot Learning

⟼ [ Open access ]      [ Supplement ]      [ Code ]      [ Oral slides ]      [ Poster ]


    UAI

Large-Margin Determinantal Point Processes

⟼ [ PDF ]      [ Supplement ]      [ Code ]      [ Poster ]


    NIPS



    CVPR