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Wenzheng Chen
Wenzheng Chen
cs.toronto.edu의 이메일 확인됨 - 홈페이지
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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
3342019
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
3172016
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
2442019
Get3d: A generative model of high quality 3d textured shapes learned from images
J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler
Advances In Neural Information Processing Systems 35, 31841-31854, 2022
1362022
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
1262022
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
1152020
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
662020
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
662019
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
502020
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
452019
Optimal structured light a la carte
P Mirdehghan, W Chen, KN Kutulakos
Proceedings of the IEEE conference on computer vision and pattern …, 2018
372018
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
332021
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
202015
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
182019
Neural light field estimation for street scenes with differentiable virtual object insertion
Z Wang, W Chen, D Acuna, J Kautz, S Fidler
European Conference on Computer Vision, 380-397, 2022
142022
Gavriel State, Jason Gorski, Tommy Xiang, Jianing Li, Michael Li, and Rev Lebaredian. Kaolin: A pytorch library for accelerating 3d deep learning research
CF Tsang, M Shugrina, JF Lafleche, T Takikawa, J Wang, C Loop, ...
142022
Identification of ferroptosis-related long noncoding RNA and construction of a novel prognostic signature for gastric cancer
WZ Chen, ZF Feng, JF Huang, PC Fu, JB Xiong, Y Cao, Y Liu, Y Tu, ZR Li, ...
Disease Markers 2021, 2021
142021
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
142020
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
112020
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
92022
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