Xinlin Ren

According to our database, Xinlin Ren authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

DeepSFM: Robust Deep Iterative Refinement for Structure From Motion.

Xinlin Ren, Xingkui Wei, Zhuwen Li, Yanwei Fu, Yinda Zhang, Xiangyang Xue

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Improving Neural Surface Reconstruction with Feature Priors from Multi-View Image.

Xinlin Ren, Chenjie Cao, Yanwei Fu, Xiangyang Xue

CoRR, 2024

MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo.

Chenjie Cao, Xinlin Ren, Yanwei Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Neural Surface Reconstruction with Feature Priors from Multi-view Images.

Xinlin Ren, Chenjie Cao, Yanwei Fu, Xiangyang Xue

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Rethinking the Multi-view Stereo from the Perspective of Rendering-based Augmentation.

Chenjie Cao, Xinlin Ren, Xiangyang Xue, Yanwei Fu

CoRR, 2023

2022

MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth.

Chenjie Cao, Xinlin Ren, Yanwei Fu

Trans. Mach. Learn. Res., 2022

MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth.

Chenjie Cao, Xinlin Ren, Yanwei Fu

CoRR, 2022

LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling.

Boyan Jiang, Xinlin Ren, Mingsong Dou, Xiangyang Xue, Yanwei Fu, Yinda Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Density-preserving Deep Point Cloud Compression.

Yun He, Xinlin Ren, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu

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

2020

Self-supervised Learning of Orc-Bert Augmentor for Recognizing Few-Shot Oracle Characters.

Wenhui Han, Xinlin Ren, Hangyu Lin, Yanwei Fu, Xiangyang Xue

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020