Wenqi Xian (original) (raw)
Bio
I am a final-year PhD in Computer Science at Cornell Tech, being advised by Noah Snavely.
My research interests lie at the intersection of Computer Vision, Graphics, and Human-Computer Interaction.
I was a research intern at Meta and Adobe Research. I graduated from Georgia Tech in 2018, where I did undergraduate research advised by James Hays. I am also a recipient of Ada Lovelace Fellowship in 2020.
Google Scholar / CV / LinkedIn / Github Email: wx97 [at] cornell [dot] edu
Publications
Neural Lens Modeling CVPR 2023
Wenqi Xian, Aljaž Božič, Noah Snavely, Christoph Lassner
FactorMatte: Redefining Video Matting for Re-Composition Tasks SIGGRAPH 2023
Zeqi Gu, Wenqi Xian, Noah Snavely, Abe Davis
Stay Positive: Non-Negative Image Synthesis for Augmented Reality CVPR 2021 Oral
Katie Luo*, Guandao Yang*, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge Belongie
Space-time Neural Irradiance Fields for Free-Viewpoint Video CVPR 2021
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, Changil Kim
Crowdsampling the Plenoptic Function
ECCV 2020 Oral
Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
ICCV 2019
Wenqi Xian*, Zhengqi Li*, Matthew Fisher, J Eisenmann, Eli Shechtman, Noah Snavely (* Equal Contribution)
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
CVPR 2018 Spotlight Oral
Wenqi Xian*, Patsorn Sangkloy*, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays (*Equal Contribution)
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
CVPR 2020 Oral


