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2020 – today
- 2024
[c14]Yingshuang Zou, Yikang Ding, Xi Qiu, Haoqian Wang, Haotian Zhang:
M2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation. ECCV (46) 2024: 269-285- [i11]Jian Liu, Sipeng Zhang, Chuixin Kong, Wenyuan Zhang, Yuhang Wu, Yikang Ding, Borun Xu, Ruibo Ming, Donglai Wei, Xianming Liu:
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction. CoRR abs/2402.18140 (2024) - [i10]Pengzhi Li, Yikang Ding, Haohan Wang, Chengshuai Tang, Zhiheng Li:
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion. CoRR abs/2404.00373 (2024) - [i9]Yingshuang Zou, Yikang Ding, Xi Qiu, Haoqian Wang, Haotian Zhang:
M2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation. CoRR abs/2405.02004 (2024) - 2023
- [j1]Dihe Huang
, Ying Chen, Yikang Ding, Yong Liu, Qiang Nie, Chengjie Wang, Zhiheng Li:
Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction. IEEE Access 11: 35243-35254 (2023) - [c13]Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang:
Adaptive Assignment for Geometry Aware Local Feature Matching. CVPR 2023: 5425-5434 - [c12]Yikang Ding, Pengzhi Li, Dihe Huang, Zhiheng Li:
Rethinking Feature Context in Learning Image-Guided Depth Completion. ICANN (3) 2023: 99-110 - [c11]Shihao Ren, Yikang Ding, Jinli Liao, Xinghui Li, Jia Guo, Wensen Feng, Xueqian Wang:
Volumetric 3D Reconstruction with Window-Wise Global Feature Aggregation. ICASSP 2023: 1-5 - [c10]Xinghui Li, Yikang Ding, Jia Guo, Xiansong Lai, Shihao Ren, Wensen Feng, Long Zeng:
Edge-aware Neural Implicit Surface Reconstruction. ICME 2023: 1643-1648 - [c9]Pengzhi Li, Yikang Ding, Linge Li, Jingwei Guan, Zhiheng Li:
Towards Practical Consistent Video Depth Estimation. ICMR 2023: 388-397 - [c8]Xiang Zhou, Weichen Zhang, Yikang Ding, Fan Zhou, Kai Zhang:
Sem-Avatar: Semantic Controlled Neural Field for High-Fidelity Audio Driven Avatar. PRCV (2) 2023: 66-78 - [c7]Pengzhi Li, Qinxuan Huang, Yikang Ding, Zhiheng Li:
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models. SIGGRAPH Asia Technical Communications 2023: 12:1-12:4 - [i8]Pengzhi Li, Qinxuan Huang, Yikang Ding, Zhiheng Li:
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models. CoRR abs/2305.18676 (2023) - 2022
- [c6]Yikang Ding, Zhenyang Li, Dihe Huang, Kai Zhang, Zhiheng Li, Wensen Feng:
Adaptive Range Guided Multi-view Depth Estimation with Normal Ranking Loss. ACCV (1) 2022: 280-295 - [c5]Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu:
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers. CVPR 2022: 8575-8584 - [c4]Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang:
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives. ECCV (15) 2022: 72-88 - [c3]Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang:
KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo. ECCV (31) 2022: 630-646 - [c2]Yikang Ding, Zhenyang Li, Dihe Huang, Zhiheng Li, Kai Zhang:
Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss. ICIP 2022: 821-825 - [c1]Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, Wensen Feng, Kai Zhang:
WT-MVSNet: Window-based Transformers for Multi-view Stereo. NeurIPS 2022 - [i7]Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, Wensen Feng, Kai Zhang:
WT-MVSNet: Window-based Transformers for Multi-view Stereo. CoRR abs/2205.14319 (2022) - [i6]Yikang Ding, Zhenyang Li, Dihe Huang, Zhiheng Li, Kai Zhang:
Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss. CoRR abs/2206.10360 (2022) - [i5]Dihe Huang, Ying Chen, Shang Xu, Yong Liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang:
Adaptive Assignment for Geometry Aware Local Feature Matching. CoRR abs/2207.08427 (2022) - [i4]Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang:
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives. CoRR abs/2207.10395 (2022) - [i3]Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang:
KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS. CoRR abs/2207.10425 (2022) - [i2]Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong Liu, Chengjie Wang:
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection. CoRR abs/2209.09464 (2022) - 2021
- [i1]Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu:
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers. CoRR abs/2111.14600 (2021)
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