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Chengkai Zhang
Chengkai Zhang
MEng, MIT
Dirección de correo verificada de mit.edu
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J Wu, C Zhang, T Xue, B Freeman, J Tenenbaum
Advances in neural information processing systems 29, 2016
24092016
Pix3d: Dataset and methods for single-image 3d shape modeling
X Sun, J Wu, X Zhang, Z Zhang, C Zhang, T Xue, JB Tenenbaum, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5722018
Visual object networks: Image generation with disentangled 3d representations
JY Zhu, Z Zhang, C Zhang, J Wu, A Torralba, J Tenenbaum, B Freeman
Advances in neural information processing systems 31, 2018
2722018
Learning shape priors for single-view 3d completion and reconstruction
J Wu, C Zhang, X Zhang, Z Zhang, WT Freeman, JB Tenenbaum
Proceedings of the European conference on computer vision (ECCV), 646-662, 2018
2282018
Learning to reconstruct shapes from unseen classes
X Zhang, Z Zhang, C Zhang, J Tenenbaum, B Freeman, J Wu
Advances in neural information processing systems 31, 2018
1802018
A comparative evaluation of approximate probabilistic simulation and deep neural networks as accounts of human physical scene understanding
R Zhang, J Wu, C Zhang, WT Freeman, JB Tenenbaum
arXiv preprint arXiv:1605.01138, 2016
522016
Learning 3D shape priors for shape completion and reconstruction
J Wu, C Zhang, X Zhang, Z Zhang, WT Freeman, JB Tenenbaum
European Conference on Computer Vision (ECCV) 3, 2018
342018
Seeing tree structure from vibration
T Xue, J Wu, Z Zhang, C Zhang, JB Tenenbaum, WT Freeman
Proceedings of the European Conference on Computer Vision (ECCV), 748-764, 2018
142018
Generative adversarial modeling of 3D shapes
C Zhang
Massachusetts Institute of Technology, 2018
12018
A Comparative Evaluation of Approximate Probabilistic Simulation and DeepNeural
R Zhang, J Wu, C Zhang
Proceedings of the Annual Meeting of the Cognitive Science Society, 38 (0), 2016
2016
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