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 Yikang Ding

Yikang Ding
Alert button

Rethinking Dimensionality Reduction in Grid-based 3D Object Detection


Sep 24, 2022
Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong Liu, Chengjie Wang

Add code
Alert button

Figure 1 for Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
Figure 2 for Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
Figure 3 for Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
Figure 4 for Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
* Submitted to ICRA 2023 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS


Jul 21, 2022
Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, CHi Zhang

Add code
Alert button

Figure 1 for KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS
Figure 2 for KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS
Figure 3 for KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS
Figure 4 for KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives


Jul 21, 2022
Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang

Add code
Alert button

Figure 1 for Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Figure 2 for Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Figure 3 for Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Figure 4 for Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Adaptive Assignment for Geometry Aware Local Feature Matching


Jul 18, 2022
Dihe Huang, Ying Chen, Shang Xu, Yong Liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang

Add code
Alert button

Figure 1 for Adaptive Assignment for Geometry Aware Local Feature Matching
Figure 2 for Adaptive Assignment for Geometry Aware Local Feature Matching
Figure 3 for Adaptive Assignment for Geometry Aware Local Feature Matching
Figure 4 for Adaptive Assignment for Geometry Aware Local Feature Matching

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss


Jun 21, 2022
Yikang Ding, Zhenyang Li, Dihe Huang, Zhiheng Li, Kai Zhang

Add code
Alert button

Figure 1 for Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Figure 2 for Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Figure 3 for Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Figure 4 for Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
* 5 pages, 3 figures; Accepted to ICIP2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

WT-MVSNet: Window-based Transformers for Multi-view Stereo


May 28, 2022
Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, Wensen Feng, Kai Zhang

Add code
Alert button

Figure 1 for WT-MVSNet: Window-based Transformers for Multi-view Stereo
Figure 2 for WT-MVSNet: Window-based Transformers for Multi-view Stereo
Figure 3 for WT-MVSNet: Window-based Transformers for Multi-view Stereo
Figure 4 for WT-MVSNet: Window-based Transformers for Multi-view Stereo

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers


Nov 29, 2021
Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu

Add code
Alert button

Figure 1 for TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
Figure 2 for TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
Figure 3 for TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
Figure 4 for TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email