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Bi-level Doubly Variational Learning for Energy-based Latent Variable Models



Ge Kan , Jinhu Lü , Tian Wang , Baochang Zhang , Aichun Zhu , Lei Huang , Guodong Guo , Hichem Snoussi

* CVPR 2022 

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Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation



Runqi Wang , Linlin Yang , Baochang Zhang , Wentao Zhu , David Doermann , Guodong Guo


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TerViT: An Efficient Ternary Vision Transformer



Sheng Xu , Yanjing Li , Teli Ma , Bohan Zeng , Baochang Zhang , Peng Gao , Jinhu Lv


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Associative Adversarial Learning Based on Selective Attack



Runqi Wang , Xiaoyue Duan , Baochang Zhang , Song Xue , Wentao Zhu , David Doermann , Guodong Guo


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Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue



Shuwei Shao , Zhongcai Pei , Weihai Chen , Wentao Zhu , Xingming Wu , Dianmin Sun , Baochang Zhang

* Accepted by Medical Image Analysis 

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IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization



Yunshan Zhong , Mingbao Lin , Gongrui Nan , Jianzhuang Liu , Baochang Zhang , Yonghong Tian , Rongrong Ji


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POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing



Sheng Xu , Yanjing Li , Junhe Zhao , Baochang Zhang , Guodong Guo

* Accepted by BMVC 2021. arXiv admin note: text overlap with arXiv:2010.05501 by other authors 

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NENet: Monocular Depth Estimation via Neural Ensembles



Shuwei Shao , Ran Li , Zhongcai Pei , Zhong Liu , Weihai Chen , Wentao Zhu , Xingming Wu , Baochang Zhang


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