Jiajun Wu

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Joshua B. TenenbaumMITCorreu electrònic verificat a mit.edu
William T. FreemanProfessor of Computer Science, MITCorreu electrònic verificat a mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityCorreu electrònic verificat a cs.stanford.edu
Jiayuan MaoMIT CSAILCorreu electrònic verificat a mit.edu
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongCorreu electrònic verificat a ie.cuhk.edu.hk
Antonio TorralbaProfessor of Computer Science, MITCorreu electrònic verificat a csail.mit.edu
Yunzhu LiColumbia UniversityCorreu electrònic verificat a columbia.edu
Chuang GanUMass Amherst | MIT-IBM Watson AI LabCorreu electrònic verificat a csail.mit.edu
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityCorreu electrònic verificat a cs.cmu.edu
Hong-Xing "Koven" YuStanford UniversityCorreu electrònic verificat a cs.stanford.edu
Ruohan ZhangStanford UniversityCorreu electrònic verificat a stanford.edu
Chengkai ZhangMEng, MITCorreu electrònic verificat a mit.edu
Zhoutong ZhangComputer Scientists, AdobeCorreu electrònic verificat a mit.edu
Pushmeet KohliDeepMindCorreu electrònic verificat a google.com
Roberto Martín-MartínThe University of Texas at AustinCorreu electrònic verificat a cs.utexas.edu
Chelsea FinnStanford University, Physical IntelligenceCorreu electrònic verificat a cs.stanford.edu
Ruohan GaoAssistant Professor of Computer Science, University of Maryland, College ParkCorreu electrònic verificat a umd.edu
Yunzhi ZhangStanford UniversityCorreu electrònic verificat a stanford.edu
Joseph J. LimAssociate Professor at KAISTCorreu electrònic verificat a csail.mit.edu
Xiuming ZhangSenior Machine Learning Scientist at Tesla AutopilotCorreu electrònic verificat a csail.mit.edu

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Jiajun Wu

Stanford University

Correu electrònic verificat a cs.stanford.edu - Pàgina d'inici

Computer Vision Machine Learning Artificial Intelligence Cognitive Science


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	4934	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	2439	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	1736*	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	1583	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	1011	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	898	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	746	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	572	2018
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	567*	2024
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	546	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	536	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	532	2020
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	524	2017
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	524	2016
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	486	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	445	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	417	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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