Seuraa
Jiajun Wu
Jiajun Wu
Stanford University
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
15412016
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
6062019
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
T Xue, J Wu, KL Bouman, WT Freeman
Advances in neural information processing systems, 91-99, 2016
4432016
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences from Natural Supervision
J Mao, C Gan, P Kohli, JB Tenenbaum, J Wu
International Conference on Learning Representations, 2019
4142019
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
4072015
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
3732016
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
3692018
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
J Wu, Y Wang, T Xue, X Sun, WT Freeman, JB Tenenbaum
Advances in Neural Information Processing Systems, 540-550, 2017
3612017
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
3392016
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
3292015
On the Opportunities and Risks of Foundation Models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
2942021
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
2772018
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum
arXiv preprint arXiv:1910.01442, 2019
2002019
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
1972018
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
1902017
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Y Li, J Wu, R Tedrake, JB Tenenbaum, A Torralba
International Conference on Learning Representations, 2018
1802018
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
1732013
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
ER Chan, M Monteiro, P Kellnhofer, J Wu, G Wetzstein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1652021
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
1612017
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
1602015
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Artikkelit 1–20