Zhengqi Li

I have graudated, please check my new website here

I am a CS Ph.D. at Cornell Tech and Cornell University where I am advised by Prof. Noah Snavely . I received my Bachelor of Computer Engineering with High Distinction at University of Minnesota, Twin Cities where I was advised by Prof. Stergios Roumeliotis and was a research assistant at MARS Lab and Google Project Tango (now ARCore). I was also a member of Robotic Sensor Networks (RSN) Lab where I worked closely with Prof. Volkan Isler.

I am a recipient of the CVPR 2019 Best Paper Hornorable Mention, 2020 Google Ph.D. Fellowship, 2020 Adobe Research Fellowship, and 2021 Baidu Global Top 100 Chinese Rising Stars in AI.

My research interests span 3D/4D computer vision, inverse graphics and image-based rendering.

  • Email: zl548 [at]cornell [dot] edu
  • Address: 2 W Loop Rd, New York, NY 10044
  • Resume/CV
  • News

  • 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 (received 3 strong accepts reviews) 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

    Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes

    Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang
    In CVPR, 2021
    [paper] [www]