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Wenzheng Chen
Wenzheng Chen
Ph.D. Candidate, University of Toronto
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Synthesizing training images for boosting human 3d pose estimation
W Chen, H Wang, Y Li, H Su, Z Wang, C Tu, D Lischinski, D Cohen-Or, ...
2016 Fourth International Conference on 3D Vision (3DV), 479-488, 2016
2712016
Learning to predict 3d objects with an interpolation-based differentiable renderer
W Chen, H Ling, J Gao, E Smith, J Lehtinen, A Jacobson, S Fidler
Advances in Neural Information Processing Systems 32, 2019
1912019
Fast interactive object annotation with curve-gcn
H Ling, J Gao, A Kar, W Chen, S Fidler
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1562019
Image gans meet differentiable rendering for inverse graphics and interpretable 3d neural rendering
Y Zhang, W Chen, H Ling, J Gao, Y Zhang, A Torralba, S Fidler
arXiv preprint arXiv:2010.09125, 2020
452020
Steady-state non-line-of-sight imaging
W Chen, S Daneau, F Mannan, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
362019
Kaolin: A pytorch library for accelerating 3d deep learning research
KM Jatavallabhula, E Smith, JF Lafleche, CF Tsang, A Rozantsev, ...
arXiv preprint arXiv:1911.05063, 2019
272019
Learning deformable tetrahedral meshes for 3d reconstruction
J Gao, W Chen, T Xiang, A Jacobson, M McGuire, S Fidler
Advances In Neural Information Processing Systems 33, 9936-9947, 2020
262020
Optimal structured light a la carte
P Mirdehghan, W Chen, KN Kutulakos
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
262018
Learned feature embeddings for non-line-of-sight imaging and recognition
W Chen, F Wei, KN Kutulakos, S Rusinkiewicz, F Heide
ACM Transactions on Graphics (ToG) 39 (6), 1-18, 2020
192020
Hallucinating stereoscopy from a single image
Q Zeng, W Chen, H Wang, C Tu, D Cohen‐Or, D Lischinski, B Chen
Computer Graphics Forum 34 (2), 1-12, 2015
192015
Kaolin: A pytorch library for accelerating 3d deep learning research
J Krishna Murthy, E Smith, JF Lafleche, CF Tsang, A Rozantsev, W Chen, ...
arXiv preprint arXiv:1911.05063 1, 2019
142019
Auto-tuning structured light by optical stochastic gradient descent
W Chen, P Mirdehghan, S Fidler, KN Kutulakos
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
92020
Kaolin: A PyTorch library for accelerating 3d deep learning research
ES KJ, JF Lafleche, CF Tsang, A Rozantsev, W Chen, T Xiang, ...
arXiv preprint arXiv:1911.05063 2, 2019
72019
DIB-R++: Learning to predict lighting and material with a hybrid differentiable renderer
W Chen, J Litalien, J Gao, Z Wang, C Fuji Tsang, S Khamis, O Litany, ...
Advances in Neural Information Processing Systems 34, 22834-22848, 2021
42021
A holistic approach for data-driven object cutout
H Xu, Y Li, W Chen, D Lischinski, D Cohen-Or, B Chen
Asian Conference on Computer Vision, 245-260, 2016
42016
Systems and methods for polygon object annotation and a method of training and object annotation system
S Fidler, A Kar, H Ling, J Gao, W Chen, DJA Marrero
US Patent 10,643,130, 2020
32020
Extracting Triangular 3D Models, Materials, and Lighting From Images
J Munkberg, J Hasselgren, T Shen, J Gao, W Chen, A Evans, T Müller, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
22022
Method and system for optimizing depth imaging
KN Kutulakos, SP Mirdehghan, W Chen
US Patent 11,341,665, 2022
2022
Generating labels for synthetic images using one or more neural networks
Y Zhang, H Ling, J Gao, W Chen, AT Barriuso, S Fidler
US Patent App. 17/020,649, 2022
2022
Neural rendering for inverse graphics generation
W Chen, Y Zhang, S Fidler, H Ling, J Gao, AT Barriuso
US Patent App. 17/193,405, 2021
2021
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Articles 1–20