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Energy Attack: On Transferring Adversarial Examples

Sep 09, 2021
Ruoxi Shi, Borui Yang, Yangzhou Jiang, Chenglong Zhao, Bingbing Ni

* Under Review for AAAI-22 

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Cross-category Video Highlight Detection via Set-based Learning

Aug 26, 2021
Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang

* Accepted as poster presentation at International Conference on Computer Vision (ICCV), 2021 

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Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image

Aug 05, 2021
Xinxin Zuo, Ji Yang, Sen Wang, Zhenbo Yu, Xinyu Li, Bingbing Ni, Minglun Gong, Li Cheng

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Exploring Visual Context for Weakly Supervised Person Search

Jun 19, 2021
Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao

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Context-Aware Image Inpainting with Learned Semantic Priors

Jun 14, 2021
Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang

* Accepted by IJCAI 2021 

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Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement

Jun 11, 2021
Zefan Li, Chenxi Liu, Alan Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao

* Accepted by the IEEE conference on computer vision and pattern recognition. 2021 

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SimSwap: An Efficient Framework For High Fidelity Face Swapping

Jun 11, 2021
Renwang Chen, Xuanhong Chen, Bingbing Ni, Yanhao Ge

* Proceedings of the 28th ACM International Conference on Multimedia. 2020 
* Accepted by ACMMM 2020 

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Self-supervised Graph-level Representation Learning with Local and Global Structure

Jun 08, 2021
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang

* Accepted as Short Talk at International Conference on Machine Learning (ICML), 2021 

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X-volution: On the unification of convolution and self-attention

Jun 07, 2021
Xuanhong Chen, Hang Wang, Bingbing Ni

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3D Human Action Representation Learning via Cross-View Consistency Pursuit

May 01, 2021
Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, Wenjun Zhang

* Accepted in CVPR 2021 

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Learning Multi-Attention Context Graph for Group-Based Re-Identification

Apr 29, 2021
Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao

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Graphical Modeling for Multi-Source Domain Adaptation

Apr 27, 2021
Minghao Xu, Hang Wang, Bingbing Ni

* Source code will be released upon acceptance 

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Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction

Mar 30, 2021
Shanyan Guan, Jingwei Xu, Yunbo Wang, Bingbing Ni, Xiaokang Yang

* CVPR 2021, the project page: 

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Image Translation via Fine-grained Knowledge Transfer

Dec 21, 2020
Xuanhong Chen, Ziang Liu, Ting Qiu, Bingbing Ni, Naiyuan Liu, Xiwei Hu, Yuhan Li

* Submitted to CVPR2021 

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RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling

Dec 18, 2020
Xuanhong Chen, Kairui Feng, Naiyuan Liu, Yifan Lu, Zhengyan Tong, Bingbing Ni, Ziang Liu, Ning Lin

* Submit to CVPR2021 

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Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale

Dec 16, 2020
Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang

* This paper has been accepted for presentation at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Omni-GAN: On the Secrets of cGANs and Beyond

Nov 26, 2020
Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian

* Code is available at 

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MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Nov 14, 2020
Jiancheng Yang, Rui Shi, Bingbing Ni

* Code and dataset are available at We have corrected certain metrics in the last version 

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CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing

Nov 03, 2020
Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian

* European Conference on Computer Vision(ECCV) 2020 

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Learning Black-Box Attackers with Transferable Priors and Query Feedback

Oct 21, 2020
Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao

* NeurIPS 2020. Code is available at 

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Anisotropic Stroke Control for Multiple Artists Style Transfer

Oct 16, 2020
Xuanhong Chen, Xirui Yan, Naiyuan Liu, Ting Qiu, Bingbing Ni

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MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response

Oct 08, 2020
Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni

* MICCAI 2020 (Early Accepted; Student Travel Award) 

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Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study

Oct 08, 2020
Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen

* MICCAI 2020 (Early Accepted) 

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Hierarchical Style-based Networks for Motion Synthesis

Aug 24, 2020
Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell

* ECCV 2020, Project Page:\ 

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Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation

Jul 28, 2020
Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang

* Accepted by ECCV 2020. Code is available at \url{

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Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds

Jul 27, 2020
Jinxian Liu, Minghui Yu, Bingbing Ni, Ye Chen

* Accepted to ECCV 2020 

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