Zian Wang
Zian Wang
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Object instance annotation with deep extreme level set evolution
Z Wang, D Acuna, H Ling, A Kar, S Fidler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
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
Multi-stream deep neural networks for rgb-d egocentric action recognition
Y Tang, Z Wang, J Lu, J Feng, J Zhou
IEEE Transactions on Circuits and Systems for Video Technology 29 (10), 3001 …, 2018
Mining semantics-preserving attention for group activity recognition
Y Tang, Z Wang, P Li, J Lu, M Yang, J Zhou
Proceedings of the 26th ACM international conference on Multimedia, 1283-1291, 2018
Learning semantics-preserving attention and contextual interaction for group activity recognition
Y Tang, J Lu, Z Wang, M Yang, J Zhou
IEEE Transactions on Image Processing 28 (10), 4997-5012, 2019
Learning indoor inverse rendering with 3d spatially-varying lighting
Z Wang, J Philion, S Fidler, J Kautz
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Beyond fixed grid: Learning geometric image representation with a deformable grid
J Gao, Z Wang, J Xuan, S Fidler
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
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
Toronto annotation suite
A Kar, SW Kim, M Boben, J Gao, T Li, H Ling, Z Wang, S Fidler
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
Z Wang, W Chen, D Acuna, J Kautz, S Fidler
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
Hybrid differentiable rendering for light transport simulation systems and applications
W Chen, J Litalien, J Gao, Z Wang, CTTCL Fuji, S Khamis, O Litany, ...
US Patent App. 17/826,611, 2022
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