Publications


    Deep Learning

      A Compositional Object-Based Approach To Learning Physical Dynamics (web) (bibtex)


      Michael Chang, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum:
      Proceedings of the 5th International Conference on Learning Representations
      #intuitive physics, #simulation, #deep learning, #unsupervised learning, #scene understanding

      A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding (web) (bibtex)


      Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
      Proceedings of the 38th Annual Conference of the Cognitive Science Society
      #intuitive physics, #simulation, #deep learning, #scene understanding

      Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (web) (bibtex)


      Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
      Advances in Neural Information Processing Systems (NIPS)
      #simulation, #deep learning, #generative adversarial learning, #3d vision

      MarrNet: 3D Shape Reconstruction via 2.5D Sketches (web) (bibtex)


      Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T. Freeman, Joshua B. Tenenbaum:
      Advances in Neural Information Processing Systems (NIPS)
      #3d vision, #deep learning

      Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation (web) (bibtex)


      Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum:
      Advances in Neural Information Processing Systems (NIPS)
      #reinforcement learning, #hierarchical modeling, #deep learning

      Deep Convolutional Inverse Graphics Network (web) (bibtex)


      Tejas D Kulkarni, William F Whitney, Pushmeet Kohli, Josh Tenenbaum:
      Advances in Neural Information Processing Systems (NIPS)
      #inverse vision, #deep learning, #disentangled representation,

      Picture : A Probabilistic Programming Language for Scene Perception (pdf) (doi) (bibtex)


      Tejas D Kulkarni, Pushmeet Kohli, Joshua B Tenenbaum, Vikash Mansinghka:
      Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
      #analysis-by-synthesis, #inference, #deep learning, #inverse vision, #3d vision, #probabilistic programming

      Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling (web) (bibtex)


      Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
      #3d vision, #deep learning

      3D Shape Perception from Monocular Vision, Touch, and Shape Priors (web) (bibtex)


      Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
      #3d vision, #multi-modal learning, #deep learning

      Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing (web) (bibtex)


      Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauza, Leslie P. Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
      #dynamics modeling, #deep learning, #robotics

      Learning Shape Priors for Single-View 3D Completion and Reconstruction (web) (bibtex)


      Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
      European Conference on Computer Vision (ECCV)
      #3d vision, #deep learning

      3D Interpreter Networks for Viewer-Centered Wireframe Modeling (web) (bibtex)


      Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
      International Journal of Computer Vision (IJCV)
      #3d vision, #deep learning

      Neurocomputational Modeling of Human Physical Scene Understanding (pdf) (bibtex)


      Ilker Yildirim, Kevin Smith, Mario Belledonne, Jiajun Wu, Joshua B. Tenenbaum:
      Conference on Cognitive Computational Neuroscience (CCN)
      #intuitive physics, #deep learning, #scene understanding

      Learning to Reconstruct Shapes from Unseen Classes (web) (bibtex)


      Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
      Advances in Neural Information Processing Systems (NeurIPS)
      #3d vision, #deep learning

      Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding (web) (bibtex)


      Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
      Advances in Neural Information Processing Systems (NeurIPS)
      #visual reasoning, #deep learning, #scene understanding

      Visual Object Networks: Image Generation with Disentangled 3D Representations (web) (bibtex)


      Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
      Advances in Neural Information Processing Systems (NeurIPS)
      #3d vision, #deep learning

      Combining Physical Simulators and Object-Based Networks for Control (web) (bibtex)


      Anurag Ajay, Maria Bauza, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie P. Kaelbling:
      IEEE International Conference on Robotics and Automation (ICRA)
      #dynamics modeling, #deep learning, #robotics

      Propagation Networks for Model-Based Control Under Partial Observation (web) (bibtex)


      Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Antonio Torralba, Joshua B. Tenenbaum, Russ Tedrake:
      IEEE International Conference on Robotics and Automation (ICRA)
      #dynamics modeling, #deep learning, #robotics

      See, Feel, Act: Hierarchical Learning for Complex Manipulation Skills with Multi-sensory Fusion (web) (bibtex)


      Nima Fazeli, Miquel Oller, Jiajun Wu, Zheng Wu, Joshua B. Tenenbaum, Alberto Rodriguez:
      Science Robotics
      #robotics, #deep learning, #dynamics modeling, #manipulation

      DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions (web) (bibtex)


      Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
      Robotics: Science and Systems (RSS)
      #deep learning, #robotics, #intuitive physics

      A Computational Model for Combinatorial Generalization in Physical Perception from Sound (pdf) (bibtex)


      Yunyun Wang, Chuang Gan, Max H. Siegel, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
      Conference on Cognitive Computational Neuroscience (CCN)
      #auditory scene analysis, #deep learning, #compositionality

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