Zhengqi Li

I am a research scientist at Google Research, where my interests lie in 3D/4D computer vision, computational photography, and image-based rendering.

I earned my Ph.D. in computer science from Cornell University, where I was advised by Professor Noah Snavely. I have received several awards for my research, including the CVPR 2019 Best Paper Honorable Mention, the 2020 Google Ph.D. Fellowship, the 2020 Adobe Research Fellowship, the 2021 Baidu Global Top 100 Chinese Rising Stars in AI, the CVPR 2023 Best Paper Honorable Mention, and the ICCV 2023 Best Student Paper Award.

  • Resume/CV
  • News

  • OmniMotion was accepted to ICCV, 2023 and selected as Best Student Paper Award .
  • Three paper was accepted to CVPR, 2023. DynIBaR was selected as Best Paper Honorable Mention
  • Two paper was accepted to ECCV, 2022. One of them was selected as Oral Presentation
  • One paper was accepted to SIGGRAPH, 2022.
  • Three paper were accepted to CVPR, 2022. Two of them were selected as Oral Presentation
  • Our paper on dynamic scenes space-time view synthesis was accepted to CVPR, 2021.
  • I received 2020 Google PhD Fellowship. Thanks Google!
  • Our paper on Crowdsampling the Plenoptic Function was accepted to ECCV, 2020 and was selected as Oral Presentation.
  • Our extended paper on learning depth of moving people was accepted to TPAMI.
  • I received 2020 Adobe Research Fellowship (10 selected worldwide). Thanks Adobe!
  • Our paper on geometry aware camera orientation estimation was accepted to ICCV, 2019.
  • Our paper on learning the depth of dynamic scene with moving people was accepted to CVPR, 2019 and was selected as Best Paper Honorable Mention
  • Our paper on learning intrinsic image decompostion from CGIntrinsics was accepted to ECCV, 2018.
  • Our paper on unsupervised learning intrinsic image decomposition was accepted to CVPR, 2018 and was selcted for a spolight oral.
  • Our paper on learning single-view depth prediction from Internet photos was accepted to CVPR, 2018
  • Publications/Technical Reports