Jiajun Wu

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	Toate	Din 2020
Referințe bibliografice	31082	27652
h-index	72	71
i10-index	175	173

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Joshua B. TenenbaumMITAdresă de e-mail confirmată pe mit.edu
William T. FreemanProfessor of Computer Science, MITAdresă de e-mail confirmată pe mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Jiayuan MaoMIT CSAILAdresă de e-mail confirmată pe mit.edu
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongAdresă de e-mail confirmată pe ie.cuhk.edu.hk
Antonio TorralbaProfessor of Computer Science, MITAdresă de e-mail confirmată pe csail.mit.edu
Yunzhu LiColumbia UniversityAdresă de e-mail confirmată pe columbia.edu
Chuang GanUMass Amherst | MIT-IBM Watson AI LabAdresă de e-mail confirmată pe csail.mit.edu
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
Hong-Xing "Koven" YuStanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Ruohan ZhangStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Chengkai ZhangMEng, MITAdresă de e-mail confirmată pe mit.edu
Zhoutong ZhangComputer Scientists, AdobeAdresă de e-mail confirmată pe mit.edu
Pushmeet KohliDeepMindAdresă de e-mail confirmată pe google.com
Chelsea FinnStanford University, Physical IntelligenceAdresă de e-mail confirmată pe cs.stanford.edu
Roberto Martín-MartínThe University of Texas at AustinAdresă de e-mail confirmată pe cs.utexas.edu
Ruohan GaoAssistant Professor of Computer Science, University of Maryland, College ParkAdresă de e-mail confirmată pe umd.edu
Yunzhi ZhangStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Joseph J. LimAssociate Professor at KAISTAdresă de e-mail confirmată pe csail.mit.edu
Xiuming ZhangSenior Machine Learning Scientist at Tesla AutopilotAdresă de e-mail confirmată pe csail.mit.edu

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Jiajun Wu

Stanford University

Adresă de e-mail confirmată pe cs.stanford.edu - Pagina de pornire

Computer Vision Machine Learning Artificial Intelligence Cognitive Science


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	4834	2021
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	2433	2016
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations C Meng, Y He, Y Song, J Song, J Wu, JY Zhu, S Ermon International Conference on Learning Representations, 2022	1706*	2022
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	1566	2019
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	1007	2021
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	894	2019
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	742	2018
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	568	2018
3D Shape Generation and Completion Through Point-Voxel Diffusion L Zhou, Y Du, J Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	538	2021
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	535	2015
CLEVRER: CoLlision Events for Video REpresentation and Reasoning K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum International Conference on Learning Representations, 2020	530	2020
Open X-Embodiment: Robotic Learning Datasets and RT-X Models A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024	528*	2024
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	523	2016
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	522	2017
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	494	2016
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models W Huang, C Wang, R Zhang, Y Li, J Wu, L Fei-Fei 7th Annual Conference on Robot Learning, 2023	475	2023
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	442	2015
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	414	2018
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	373	2016
3D-Aware Scene Manipulation via Inverse Graphics S Yao, TMH Hsu, JY Zhu, J Wu, A Torralba, WT Freeman, JB Tenenbaum Advances in Neural Information Processing Systems, 1887--1898, 2018	316	2018

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