Yikang Ding

According to our database, Yikang Ding authored at least 17 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction.

Jian Liu, Sipeng Zhang, Chuixin Kong, Wenyuan Zhang, Yuhang Wu, Yikang Ding, Borun Xu, Ruibo Ming, Donglai Wei, Xianming Liu

CoRR, 2024

2023

Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction.

Dihe Huang, Ying Chen, Yikang Ding, Yong Liu, Qiang Nie, Chengjie Wang, Zhiheng Li

IEEE Access, 2023

LayerDiffusion: Layered Controlled Image Editing with Diffusion Models.

Pengzhi Li, Qinxuan Huang, Yikang Ding, Zhiheng Li

Proceedings of the SIGGRAPH Asia 2023 Technical Communications, 2023

Sem-Avatar: Semantic Controlled Neural Field for High-Fidelity Audio Driven Avatar.

Xiang Zhou, Weichen Zhang, Yikang Ding, Fan Zhou, Kai Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Towards Practical Consistent Video Depth Estimation.

Pengzhi Li, Yikang Ding, Linge Li, Jingwei Guan, Zhiheng Li

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Edge-aware Neural Implicit Surface Reconstruction.

Xinghui Li, Yikang Ding, Jia Guo, Xiansong Lai, Shihao Ren, Wensen Feng, Long Zeng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Volumetric 3D Reconstruction with Window-Wise Global Feature Aggregation.

Shihao Ren, Yikang Ding, Jinli Liao, Xinghui Li, Jia Guo, Wensen Feng, Xueqian Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Assignment for Geometry Aware Local Feature Matching.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Rethinking Dimensionality Reduction in Grid-based 3D Object Detection.

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

CoRR, 2022

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

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

CoRR, 2022

Adaptive Assignment for Geometry Aware Local Feature Matching.

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

CoRR, 2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss.

Yikang Ding, Zhenyang Li, Dihe Huang, Zhiheng Li, Kai Zhang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptive Range Guided Multi-view Depth Estimation with Normal Ranking Loss.

Yikang Ding, Zhenyang Li, Dihe Huang, Kai Zhang, Zhiheng Li, Wensen Feng

Proceedings of the Computer Vision - ACCV 2022, 2022