Adaptive Range Guided Multi-view Depth Estimation with Normal Ranking Loss. - Yikang Ding; Zhenyang Li; Dihe Huang; Kai Zhang 012; Zhiheng Li 001; Wensen Feng (ACCV (1), 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 (CVPR, 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 (ECCV (31), 2022)

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives. - Wentao Yuan; Qingtian Zhu; Xiangyue Liu; Yikang Ding; Haotian Zhang; Chi Zhang (ECCV (15), 2022)

Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss. - Yikang Ding; Zhenyang Li; Dihe Huang; Zhiheng Li 001; Kai Zhang 012 (ICIP, 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 012 (NeurIPS, 2022)

Adaptive Assignment for Geometry Aware Local Feature Matching. - Dihe Huang; Ying Chen; Shang Xu; Yong Liu 032; Wenlong Wu; Yikang Ding; Chengjie Wang; Fan Tang (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)

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 032; Chengjie Wang (CoRR, 2022)

Adaptive Assignment for Geometry Aware Local Feature Matching. - Dihe Huang; Ying Chen; Yong Liu 032; Jianlin Liu; Shang Xu; Wenlong Wu; Yikang Ding; Fan Tang; Chengjie Wang (CVPR, 2023)

Rethinking Feature Context in Learning Image-Guided Depth Completion. - Yikang Ding; Pengzhi Li; Dihe Huang; Zhiheng Li 001 (ICANN (3), 2023)

Volumetric 3D Reconstruction with Window-Wise Global Feature Aggregation. - Shihao Ren; Yikang Ding; Jinli Liao; Xinghui Li; Jia Guo; Wensen Feng; Xueqian Wang (ICASSP, 2023)

Edge-aware Neural Implicit Surface Reconstruction. - Xinghui Li; Yikang Ding; Jia Guo; Xiansong Lai; Shihao Ren; Wensen Feng; Long Zeng 001 (ICME, 2023)

Towards Practical Consistent Video Depth Estimation. - Pengzhi Li; Yikang Ding; Linge Li; Jingwei Guan; Zhiheng Li 001 (ICMR, 2023)

Sem-Avatar: Semantic Controlled Neural Field for High-Fidelity Audio Driven Avatar. - Xiang Zhou; Weichen Zhang; Yikang Ding; Fan Zhou; Kai Zhang (PRCV (2), 2023)

LayerDiffusion: Layered Controlled Image Editing with Diffusion Models. - Pengzhi Li; Qinxuan Huang; Yikang Ding; Zhiheng Li 001 (SIGGRAPH Asia Technical Communications, 2023)

Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction. - Dihe Huang; Ying Chen; Yikang Ding; Yong Liu 032; Qiang Nie; Chengjie Wang; Zhiheng Li 001 (IEEE Access, 2023)

M2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation. - Yingshuang Zou; Yikang Ding; Xi Qiu; Haoqian Wang; Haotian Zhang (ECCV (46), 2024)

OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction. - Jian Liu 036; Sipeng Zhang; Chuixin Kong; Wenyuan Zhang; Yuhang Wu; Yikang Ding; Borun Xu; Ruibo Ming; Donglai Wei 002; Xianming Liu (CoRR, 2024)

The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion. - Pengzhi Li; Yikang Ding; Haohan Wang; Chengshuai Tang; Zhiheng Li 001 (CoRR, 2024)

UniScene: Unified Occupancy-centric Driving Scene Generation. - Bohan Li; Jiazhe Guo; Hongsi Liu; Yingshuang Zou; Yikang Ding; Xiwu Chen; Hu Zhu; Feiyang Tan; Chi Zhang; Tiancai Wang; Shuchang Zhou 001; Li Zhang 040; et al. (CVPR, 2025)

Joint multi-layer network and coupling redundancy minimization for semi-supervised EEG-based emotion recognition. - Liangliang Hu; Daowen Xiong; Congming Tan; Zhentao Huang; Yikang Ding; Jiahao Jin; Yin Tian (Knowl. Based Syst., 2025)

HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation. - Xin Zhou 013; Dingkang Liang; Sifan Tu; Xiwu Chen; Yikang Ding; Dingyuan Zhang; Feiyang Tan; Hengshuang Zhao; Xiang Bai (CoRR, 2025)

MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction. - Yingshuang Zou; Yikang Ding; Chuanrui Zhang; Jiazhe Guo; Bohan Li; Xiaoyang Lyu; Feiyang Tan; Xiaojuan Qi; Haoqian Wang (CoRR, 2025)

DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation. - Jiazhe Guo; Yikang Ding; Xiwu Chen; Shuo Chen; Bohan Li; Yingshuang Zou; Xiaoyang Lyu; Feiyang Tan; Xiaojuan Qi; Zhiheng Li; Hao Zhao (CoRR, 2025)

ORV: 4D Occupancy-centric Robot Video Generation. - Xiuyu Yang; Bohan Li; Shaocong Xu; Nan Wang; Chongjie Ye; Zhaoxi Chen 009; Minghan Qin; Yikang Ding; Xin Jin; Hang Zhao; Hao Zhao 002 (CoRR, 2025)

Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching. - Xin Zhou 013; Dingkang Liang; Kaijin Chen; Tianrui Feng; Xiwu Chen; Hongkai Lin; Yikang Ding; Feiyang Tan; Hengshuang Zhao; Xiang Bai (CoRR, 2025)