Yikang Ding

According to our database, Yikang Ding authored at least 34 papers between 2022 and 2026.

Collaborative distances:

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

2026

Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models.

Kaijin Chen, Dingkang Liang, Xin Zhou, Yikang Ding, Xiaoqiang Liu, Pengfei Wan, Xiang Bai

CoRR, March, 2026

Kling-MotionControl Technical Report.

Jialu Chen, Yikang Ding, Zhixue Fang, Kun Gai, Kang He, Xu He, Jingyun Hua, Mingming Lao, Xiaohan Li, Hui Liu, Jiwen Liu, Xiaoqiang Liu, Fan Shi, Xiaoyu Shi, Peiqin Sun, Songlin Tang, Pengfei Wan, Tiancheng Wen, Zhiyong Wu, Haoxian Zhang, Runze Zhao, Yuanxing Zhang, Yan Zhou

CoRR, March, 2026

2025

KlingAvatar 2.0 Technical Report.

Jialu Chen, Yikang Ding, Zhixue Fang, Kun Gai, Yuan Gao, Kang He, Jingyun Hua, Boyuan Jiang, Mingming Lao, Xiaohan Li, Hui Liu, Jiwen Liu, Xiaoqiang Liu, Yuan Liu, Shun Lu, Yongsen Mao, Yingchao Shao, Huafeng Shi, Xiaoyu Shi, Peiqin Sun, Songlin Tang, Pengfei Wan, Chao Wang, Xuebo Wang, Haoxian Zhang, Yuanxing Zhang, Yan Zhou

CoRR, December, 2025

Interpretable Cross-Modal Alignment Network for EEG Visual Decoding With Algorithm Unrolling.

Daowen Xiong, Liangliang Hu, Jiahao Jin, Yikang Ding, Congming Tan, Jing Zhang, Yin Tian

IEEE Trans. Neural Networks Learn. Syst., November, 2025

Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis.

Yikang Ding, Jiwen Liu, Wenyuan Zhang, Zekun Wang, Wentao Hu, Liyuan Cui, Mingming Lao, Yingchao Shao, Hui Liu, Xiaohan Li, Ming Chen, Xiaoqiang Liu, Yu-Shen Liu, Pengfei Wan

CoRR, September, 2025

Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching.

Xin Zhou, Dingkang Liang, Kaijin Chen, Tianrui Feng, Xiwu Chen, Hongkai Lin, Yikang Ding, Feiyang Tan, Hengshuang Zhao, Xiang Bai

CoRR, July, 2025

ORV: 4D Occupancy-centric Robot Video Generation.

Xiuyu Yang, Bohan Li, Shaocong Xu, Nan Wang, Chongjie Ye, Zhaoxi Chen, Minghan Qin, Yikang Ding, Xin Jin, Hang Zhao, Hao Zhao

CoRR, June, 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, March, 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, March, 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

CLAIM: Camera-LiDAR Alignment with Intensity and Monodepth.

Zhuo Zhang, Yonghui Liu, Meijie Zhang, Feiyang Tan, Yikang Ding

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation.

Xin Zhou, Dingkang Liang, Sifan Tu, Xiwu Chen, Yikang Ding, Dingyuan Zhang, Feiyang Tan, Hengshuang Zhao, Xiang Bai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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, Li Zhang, Xiaojuan Qi, Hao Zhao, Mu Yang, Wenjun Zeng, Xin Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

CoRR, 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

M²Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation.

Yingshuang Zou, Yikang Ding, Xi Qiu, Haoqian Wang, Haotian Zhang

Proceedings of the Computer Vision - ECCV 2024, 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

Rethinking Feature Context in Learning Image-Guided Depth Completion.

Yikang Ding, Pengzhi Li, Dihe Huang, Zhiheng Li

Proceedings of the Artificial Neural Networks and Machine Learning, 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