Research

My research interests include computer vision and computer graphics, but admittedly I am not an active researcher now. I still follow research trends and read arxiv papers from time to time. In the era of large models, I am a big fan of Efficient AI.

Selected Publications

A complete publication list can be found on my google scholar page.

  1. Han Yan, Celong Liu, Chao Ma, Xing Mei. PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering. In CVPR 2023. [project page]
  2. Huaiyu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu. LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. In ICML 2019. [code]
  3. Xing Mei, Honggang Qi, Bao-Gang Hu and Siwei Lyu. Improving Image Restoration with Soft-Rounding, In ICCV 2015. [pdf]
  4. Xing Mei, Weiming Dong, Bao-Gang Hu and Siwei Lyu. UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints, In CVPR 2015. [pdf]
  5. Xing Mei, Xun Sun, Weiming Dong, Haitao Wang and Xiaopeng Zhang. Segment-Tree based Cost Aggregation for Stereo Matching, In CVPR 2013. [pdf][code]
  6. Xing Mei, Xun Sun, Mingcai Zhou, Shaohui Jiao, Haitao Wang and Xiaopeng Zhang, On Building an Accurate Stereo Matching System on Graphics Hardware, In ICCV Workshop 2011. [pdf]