Welcome to Wei Jiang's homepage

Wei Jiang (蒋炜)

I’m a research scientist at Haiper.ai, where I work on computer vision research and development. I recently completed my PhD under the supervision of Prof. Kwang Moo Yi at Computer Vision Lab, University of British Columbia, Canada. My research focuses on visual localization and novel view synthesis. From 2021 to 2022, I interned at Apple AI/ML with Anurag Ranjan. In 2020, I interned at Huawei with Prof. Yang Wang.

At Haiper.ai, we focus on 3D reconstruction and AI-generated content, and we’re constantly exploring new applications and techniques.


NeuMan: Neural Human Radiance Field from a Single Video
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
ECCV 2022
[arXiv] [paper] [code] [project] [video] [poster]
Novel-View Synthesis of Human Tourist Photos
Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, Hyung Jin Chang
WACV 2022
COTR: Correspondence Transformer for Matching Across Images
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
ICCV 2021 oral
[arXiv] [video] [code]
DeRF: Decomposed Radiance Fields
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
CVPR 2021
[arXiv] [project] [code]
Attentive Context Normalization for Robust Permutation-Equivariant Learning
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
CVPR 2020
[arXiv] [code]
Optimizing Through Learned Errors for Accurate Sports Field Registration
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi
WACV 2020
[arXiv] [video] [code] [poster]
Linearized Multi-Sampling for Differentiable Image Transformation
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
ICCV 2019 oral
[arXiv] [code] [poster]
Depth-aware image vectorization and editing
Shufang Lu, Wei Jiang, Xuefeng Ding, Craig S. Kaplan, Xiaogang Jin, Fei Gao, Jiazhou Chen
The Visual Computer/Computer Graphics International 2019


Fellowships & Awards

Reviewing Activities