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Can Wang

Confidence-Aware Multi-Teacher Knowledge Distillation


Dec 30, 2021
Hailin Zhang, Defang Chen, Can Wang

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* 5 pages, 4 figure, 4 tables, submitted to ICASSP 2022 
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Online Adversarial Distillation for Graph Neural Networks


Dec 28, 2021
Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen

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CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields


Dec 09, 2021
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

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Exploring the Connection between Knowledge Distillation and Logits Matching


Sep 14, 2021
Defang Chen, Can Wang, Yan Feng, Chun Chen

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* Technical Report 
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Distilling Holistic Knowledge with Graph Neural Networks


Aug 12, 2021
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

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* Accepted by ICCV 2021 
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Deep Portrait Lighting Enhancement with 3D Guidance


Aug 04, 2021
Fangzhou Han, Can Wang, Hao Du, Jing Liao

* Computer Graphics Forum, 40: 177-188 (2021) 
 * {\dag} for equal conribution. Accepted to CGF. Project page: https://cassiepython.github.io/egsr/index.html 
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Human Pose Regression with Residual Log-likelihood Estimation


Jul 31, 2021
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu

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* ICCV 2021 Oral 
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Cross-Domain and Disentangled Face Manipulation with 3D Guidance


Apr 22, 2021
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

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Attribute-Modulated Generative Meta Learning for Zero-Shot Classification


Apr 22, 2021
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang

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Cross-Layer Distillation with Semantic Calibration


Dec 06, 2020
Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen

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* AAAI-2021 
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HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation


Aug 10, 2020
Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu

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* To appear on ECCV2020 
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Whole-Body Human Pose Estimation in the Wild


Jul 23, 2020
Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo

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* To appear on ECCV2020 
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Spectrum-Guided Adversarial Disparity Learning


Jul 14, 2020
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang

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Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition


Jul 12, 2020
Guang Liang, Shangfei Wang, Can Wang

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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting


Jul 06, 2020
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang

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* 15 pages 
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Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback


Mar 04, 2020
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

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Hierarchical Graph Pooling with Structure Learning


Dec 25, 2019
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang

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* Typo corrected, reference added and code is available at https://github.com/cszhangzhen/HGP-SL 
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Online Knowledge Distillation with Diverse Peers


Dec 05, 2019
Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen

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* Accepted to AAAI-2020 
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An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE


May 22, 2019
Tianye Zhang, Haozhe Feng, Zexian Chen, Can Wang, Yanhao Huang, Yong Tang, Wei Chen

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HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding


Jan 31, 2019
Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang

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CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark


Dec 02, 2018
Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu

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Multi-modality Sensor Data Classification with Selective Attention


May 01, 2018
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang

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Sales Forecast in E-commerce using Convolutional Neural Network


Aug 26, 2017
Kui Zhao, Can Wang

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* 8 pages, 7 figures 
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Navigation Objects Extraction for Better Content Structure Understanding


Aug 26, 2017
Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang

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* 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI) 
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Deep Style Match for Complementary Recommendation


Aug 26, 2017
Kui Zhao, Xia Hu, Jiajun Bu, Can Wang

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* Workshops at the Thirty-First AAAI Conference on Artificial Intelligence 
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