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Zhengqi Li
Zhengqi Li
在 cornell.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Megadepth: Learning single-view depth prediction from internet photos
Z Li, N Snavely
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5742018
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
2282021
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
1852019
Learning intrinsic image decomposition from watching the world
Z Li, N Snavely
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1192018
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
1102018
Large scale image mosaic construction for agricultural applications
Z Li, V Isler
IEEE Robotics and Automation Letters 1 (1), 295-302, 2016
492016
Crowdsampling the plenoptic function
Z Li, W Xian, A Davis, N Snavely
European Conference on Computer Vision, 178-196, 2020
462020
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
242019
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Z Li, S Niklaus, N Snavely, O Wang
192020
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
82020
Deformable Sprites for Unsupervised Video Decomposition
V Ye, Z Li, R Tucker, A Kanazawa, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
Neural 3D reconstruction in the wild
J Sun, X Chen, Q Wang, Z Li, H Averbuch-Elor, X Zhou, N Snavely
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
52022
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
K Zhang, F Luan, Z Li, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
Structure and motion from casual videos
Z Zhang, F Cole, Z Li, M Rubinstein, N Snavely, WT Freeman
European Conference on Computer Vision, 20-37, 2022
22022
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
12022
Infinitenature-zero: Learning perpetual view generation of natural scenes from single images
Z Li, Q Wang, N Snavely, A Kanazawa
European Conference on Computer Vision, 515-534, 2022
12022
DynIBaR: Neural Dynamic Image-Based Rendering
Z Li, Q Wang, F Cole, R Tucker, N Snavely
arXiv preprint arXiv:2211.11082, 2022
2022
View synthesis of a dynamic scene
O Wang, S Niklaus, Z Li
US Patent App. 17/204,571, 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 App. 17/656,165, 2022
2022
3D Moments from Near-Duplicate Photos
Q Wang, Z Li, D Salesin, N Snavely, B Curless, J Kontkanen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
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