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Zhengqi Li
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Megadepth: Learning single-view depth prediction from internet photos
Z Li, N Snavely
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
4662018
Learning the depths of moving people by watching frozen people
Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1492019
Neural scene flow fields for space-time view synthesis of dynamic scenes
Z Li, S Niklaus, N Snavely, O Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1192021
Learning intrinsic image decomposition from watching the world
Z Li, N Snavely
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1022018
Cgintrinsics: Better intrinsic image decomposition through physically-based rendering
Z Li, N Snavely
Proceedings of the European Conference on Computer Vision (ECCV), 371-387, 2018
892018
Large scale image mosaic construction for agricultural applications
Z Li, V Isler
IEEE Robotics and Automation Letters 1 (1), 295-302, 2016
452016
Crowdsampling the plenoptic function
Z Li, W Xian, A Davis, N Snavely
European Conference on Computer Vision, 178-196, 2020
282020
UprightNet: geometry-aware camera orientation estimation from single images
W Xian, Z Li, M Fisher, J Eisenmann, E Shechtman, N Snavely
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
202019
MannequinChallenge: Learning the depths of moving people by watching frozen people
Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4229 …, 2020
42020
3D Moments from Near-Duplicate Photos
Q Wang, Z Li, D Salesin, N Snavely, B Curless, J Kontkanen
arXiv preprint arXiv:2205.06255, 2022
2022
Depth determination for images captured with a moving camera and representing moving features
T Dekel, C Forrester, C Liu, W Freeman, R Tucker, N Snavely, Z Li
US Patent 11,315,274, 2022
2022
Deformable Sprites for Unsupervised Video Decomposition
V Ye, Z Li, R Tucker, A Kanazawa, N Snavely
arXiv preprint arXiv:2204.07151, 2022
2022
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
K Zhang, F Luan, Z Li, N Snavely
arXiv preprint arXiv:2204.02232, 2022
2022
Large scale image mosaic construction for agricultural applications
IV Isler, Z Li
US Patent 10,453,178, 2019
2019
Supplementary Materials for IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
K Zhang, F Luan, Z Li, N Snavely
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes Supplementary Material
Z Li, S Niklaus, N Snavely, O Wang, C Tech
Supplementary Material Learning the Depths of Moving People by Watching Frozen People
Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman
High-Speed Autonomous Quadrotor Navigation through Image Paths
T Do, LC Carrillo-Arce, Z Li, SI Roumeliotis
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images Supplementary Material
W Xian, Z Li, MFJEE Shechtman, N Snavely
Supplementary Material: CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering
Z Li, N Snavely
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