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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 https://github.com/PeterouZh/Omni-GAN-PyTorch 

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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 https://medmnist.github.io/. 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 https://github.com/TrustworthyDL/LeBA 

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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{https://github.com/ChrisAllenMing/LtC-MSDA

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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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Collaborative Learning for Faster StyleGAN Embedding

Jul 03, 2020
Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, Xiaokang Yang

* 10 pages, 11 figures 

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Video Prediction via Example Guidance

Jul 03, 2020
Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell

* ICML 2020 
* Project Page: https://sites.google.com/view/vpeg-supp/home 

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Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks

Jun 25, 2020
Peng Zhou, Lingxi Xie, Xiaopeng Zhang, Bingbing Ni, Qi Tian

* 20 pages. Code is available at \url{https://github.com/PeterouZh/NAS_cGAN

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AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes

May 05, 2020
Jiancheng Yang, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni

* Preprint. Code is available at https://github.com/M3DV/AlignShift 

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Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers

Apr 12, 2020
Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu

* 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) 

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Cross-domain Detection via Graph-induced Prototype Alignment

Mar 28, 2020
Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang

* Accepted as ORAL presentation at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 

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Adversarial Domain Adaptation with Domain Mixup

Dec 04, 2019
Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang

* Accepted as oral presentation at 34th AAAI Conference on Artificial Intelligence, 2020 

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Reinventing 2D Convolutions for 3D Medical Images

Nov 24, 2019
Jiancheng Yang, Xiaoyang Huang, Bingbing Ni, Jingwei Xu, Canqian Yang, Guozheng Xu

* Preprint. Code is available at http://github.com/m3dv/ACSConv 

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CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator

Nov 14, 2019
Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni

* 26th International Conference on Multimedia Modeling(MMM2020) 

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Facial Image Deformation Based on Landmark Detection

Oct 30, 2019
Chaoyue Song, Yugang Chen, Shulai Zhang, Bingbing Ni


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Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis

Oct 20, 2019
Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li

* MICCAI 2019 (early accept), with supplementary materials 

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Evaluating and Boosting Uncertainty Quantification in Classification

Sep 16, 2019
Xiaoyang Huang, Jiancheng Yang, Linguo Li, Haoran Deng, Bingbing Ni, Yi Xu


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Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks

Aug 06, 2019
Yunxiang Zhang, Chenglong Zhao, Bingbing Ni, Jian Zhang, Haoran Deng

* 14 pages, 6 figures 

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Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling

Apr 06, 2019
Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian

* CVPR'2019 

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