Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Baochang Zhang

Baochang Zhang

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

Figure 1 for Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Figure 2 for Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Figure 3 for Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Figure 4 for Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
* CVPR 2022 
   Access Paper or Ask Questions

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



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

Figure 1 for Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation
Figure 2 for Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation
Figure 3 for Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation
Figure 4 for Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation

   Access Paper or Ask Questions

TerViT: An Efficient Ternary Vision Transformer



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

Figure 1 for TerViT: An Efficient Ternary Vision Transformer
Figure 2 for TerViT: An Efficient Ternary Vision Transformer
Figure 3 for TerViT: An Efficient Ternary Vision Transformer
Figure 4 for TerViT: An Efficient Ternary Vision Transformer

   Access Paper or Ask Questions

Associative Adversarial Learning Based on Selective Attack



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

Figure 1 for Associative Adversarial Learning Based on Selective Attack
Figure 2 for Associative Adversarial Learning Based on Selective Attack
Figure 3 for Associative Adversarial Learning Based on Selective Attack
Figure 4 for Associative Adversarial Learning Based on Selective Attack

   Access Paper or Ask Questions

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

Figure 1 for Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Figure 2 for Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Figure 3 for Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Figure 4 for Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
* Accepted by Medical Image Analysis 
   Access Paper or Ask Questions

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

Figure 1 for IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Figure 2 for IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Figure 3 for IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Figure 4 for IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization

   Access Paper or Ask Questions

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

Figure 1 for POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
Figure 2 for POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
Figure 3 for POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
Figure 4 for POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
* Accepted by BMVC 2021. arXiv admin note: text overlap with arXiv:2010.05501 by other authors 
   Access Paper or Ask Questions

NENet: Monocular Depth Estimation via Neural Ensembles



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

Figure 1 for NENet: Monocular Depth Estimation via Neural Ensembles
Figure 2 for NENet: Monocular Depth Estimation via Neural Ensembles
Figure 3 for NENet: Monocular Depth Estimation via Neural Ensembles
Figure 4 for NENet: Monocular Depth Estimation via Neural Ensembles

   Access Paper or Ask Questions
1
2
3
4
5
6
7
>>