Jiajun Wu
Jiajun Wu
在 stanford.edu 的電子郵件地址已通過驗證 - 首頁
標題引用次數年份
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
J Wu, C Zhang, T Xue, WT Freeman, JB Tenenbaum
Advances In Neural Information Processing Systems, 82-90, 2016
6182016
Visual dynamics: Probabilistic future frame synthesis via cross convolutional networks
T Xue, J Wu, K Bouman, B Freeman
Advances in neural information processing systems, 91-99, 2016
2422016
Deep multiple instance learning for image classification and auto-annotation
J Wu, Y Yu, C Huang, K Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3460-3469, 2015
2322015
Single image 3d interpreter network
J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman
European Conference on Computer Vision, 365-382, 2016
1902016
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
J Wu, I Yildirim, JJ Lim, WT Freeman, JB Tenenbaum
Advances in Neural Information Processing Systems, 127-135, 2015
1702015
Harvesting mid-level visual concepts from large-scale internet images
Q Li, J Wu, Z Tu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 851-858, 2013
1512013
Ambient sound provides supervision for visual learning
A Owens, J Wu, JH McDermott, WT Freeman, A Torralba
European Conference on Computer Vision, 801-816, 2016
1402016
Marrnet: 3d shape reconstruction via 2.5 d sketches
J Wu, Y Wang, T Xue, X Sun, WT Freeman, JB Tenenbaum
Advances in Neural Information Processing Systems, 540-550, 2017
1232017
Unsupervised object class discovery via saliency-guided multiple class learning
JY Zhu, J Wu, Y Xu, E Chang, Z Tu
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (4), 862-875, 2015
1062015
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
J Wu, Y Zhao, JY Zhu, S Luo, Z Tu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 256-263, 2014
712014
Synthesizing 3d shapes via modeling multi-view depth maps and silhouettes with deep generative networks
A Arsalan Soltani, H Huang, J Wu, TD Kulkarni, JB Tenenbaum
Proceedings of the IEEE conference on computer vision and pattern …, 2017
682017
Learning to see physics via visual de-animation
J Wu, E Lu, P Kohli, WT Freeman, JB Tenenbaum
Advances in Neural Information Processing Systems, 153-164, 2017
682017
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
602018
Physics 101: Learning physical object properties from unlabeled videos
J Wu, JJ Lim, H Zhang, JB Tenenbaum, WT Freeman
British Machine Vision Conference (BMVC), 2016
572016
Neural-symbolic vqa: Disentangling reasoning from vision and language understanding
K Yi, J Wu, C Gan, A Torralba, P Kohli, JB Tenenbaum
Advances in Neural Information Processing Systems, 1031-1042, 2018
472018
Neural Scene De-rendering
J Wu, JB Tenenbaum, P Kohli
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
472017
Attention clusters: Purely attention based local feature integration for video classification
X Long, C Gan, G de Melo, J Wu, X Liu, S Wen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
452018
Self-supervised intrinsic image decomposition
M Janner, J Wu, TD Kulkarni, I Yildirim, JB Tenenbaum
Advances in Neural Information Processing Systems, 5936-5946, 2017
38*2017
Video enhancement with task-oriented flow
T Xue, B Chen, J Wu, D Wei, WT Freeman
International Journal of Computer Vision 127 (8), 1106-1125, 2019
372019
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
30*2018
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