Jiajun Wu

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Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
William T. FreemanProfessor of Computer Science, MITDirección de correo verificada de mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Jiayuan MaoMIT CSAILDirección de correo verificada de mit.edu
Antonio TorralbaProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongDirección de correo verificada de ie.cuhk.edu.hk
Yunzhu LiColumbia UniversityDirección de correo verificada de columbia.edu
Chuang GanUMass Amherst | MIT-IBM Watson AI LabDirección de correo verificada de csail.mit.edu
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Hong-Xing "Koven" YuStanford UniversityDirección de correo verificada de cs.stanford.edu
Chengkai ZhangMEng, MITDirección de correo verificada de mit.edu
Zhoutong ZhangComputer Scientists, AdobeDirección de correo verificada de mit.edu
Ruohan ZhangStanford UniversityDirección de correo verificada de stanford.edu
Pushmeet KohliDeepMindDirección de correo verificada de google.com
Chelsea FinnStanford University, Physical IntelligenceDirección de correo verificada de cs.stanford.edu
Roberto Martín-MartínThe University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Ruohan GaoAssistant Professor of Computer Science, University of Maryland, College ParkDirección de correo verificada de umd.edu
Xiuming ZhangSenior Machine Learning Scientist at Tesla AutopilotDirección de correo verificada de csail.mit.edu
Yunzhi ZhangStanford UniversityDirección de correo verificada de stanford.edu
Joseph J. LimAssociate Professor at KAISTDirección de correo verificada de csail.mit.edu

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Jiajun Wu

Stanford University

Dirección de correo verificada de cs.stanford.edu - Página principal

Computer Vision Machine Learning Artificial Intelligence Cognitive Science


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	4296	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	2391	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	1523*	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	1497	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	915	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	849	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	717	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	554	2018
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	525	2015
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	515	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	515	2016
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	504	2021
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	496	2016
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	487	2020
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	434	2015
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	406	2023
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	400	2018
Open X-Embodiment: Robotic Learning Datasets and RT-X Models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023	381*	2023
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	372	2016
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Y Hu, J Liu, A Spielberg, JB Tenenbaum, WT Freeman, J Wu, D Rus, ... 2019 International Conference on Robotics and Automation (ICRA), 6265-6271, 2019	297	2019

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