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.

Email: jiangwei1993@gmail.com
my Google Scholar
my GitHub

Publications


	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 [paper]
	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 [Paper]

Experiences

2023.1 - 2025.1, Research scientist at Haiper.ai, Canada
2021.5 - 2022.7, Research intern at Apple, Canada
2020.5 - 2020.9, Assistant engineer intern at Huawei, Canada
2020.1 - 2020.4, Teaching assistant of CSC 486B Introduction to Deep Learning for Computer Vision at University of Victoria, Victoria, Canada
2019.1 - 2019.4, Teaching assistant of CSC 305 Introduction to Computer Graphics at University of Victoria, Victoria, Canada
2018.5 - 2018.8, Algorithm intern at KATVR, Hangzhou, China
2017.5 - 2017.8, Backend intern at AdaptiveAlgo, Boston, MA

Fellowships & Awards

2019 - 2021, UVic Fellowship
2019.4, UVic Graduate Award

Reviewing Activities

2019: ICCV, BMVC
2020: AAAI, CVPR, IJCAI, ECCV, ACCV
2021: WACV, ICCV
2022: TIP, TPAMI