NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (35)

cs.CV2018

Learning to Reconstruct Shapes from Unseen Classes

Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang +3

cs.LG2019

Stochastic Prediction of Multi-Agent Interactions from Partial Observations

Chen Sun, Per Karlsson, Jiajun Wu +2

cs.RO2018

Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing

Anurag Ajay, Jiajun Wu, Nima Fazeli +4

hep-lat2015

N* Spectroscopy from Lattice QCD: The Roper Explained

Derek Leinweber, Waseem Kamleh, Adrian Kiratidis +6

cs.CV2016

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

Tianfan Xue, Jiajun Wu, Katherine L. Bouman +1

cs.LG2019

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

Michael Janner, Sergey Levine, William T. Freeman +3

cs.CV2019

Learning to Infer and Execute 3D Shape Programs

Yonglong Tian, Andrew Luo, Xingyuan Sun +4

The paper proposes a neural system that learns to infer symbolic programs describing 3D shapes and to execute those programs for shape reconstruction, using self‑supervised learnin…

#3d shape reconstruction#program synthesis#self-supervised learning#symbolic reasoning
cs.LG2019

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Yunzhu Li, Jiajun Wu, Russ Tedrake +2

cs.CV2019

Unsupervised Discovery of Parts, Structure, and Dynamics

Zhenjia Xu, Zhijian Liu, Chen Sun +4

cs.AI2019

Propagation Networks for Model-Based Control Under Partial Observation

Yunzhu Li, Jiajun Wu, Jun-Yan Zhu +3

cs.CV2016

Deep Multi-Modal Image Correspondence Learning

Chen Liu, Jiajun Wu, Pushmeet Kohli +1

cs.AI2019

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

Kexin Yi, Jiajun Wu, Chuang Gan +3

cs.HC2019

MoSculp: Interactive Visualization of Shape and Time

Xiuming Zhang, Tali Dekel, Tianfan Xue +5

cs.CV2016

Single Image 3D Interpreter Network

Jiajun Wu, Tianfan Xue, Joseph J. Lim +4

cs.RO2019

Combining Physical Simulators and Object-Based Networks for Control

Anurag Ajay, Maria Bauza, Jiajun Wu +4

cs.CV2017

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

Xiang Long, Chuang Gan, Gerard de Melo +3

cs.CV2017

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

Jiajun Wu, Yifan Wang, Tianfan Xue +3

cs.CV2019

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Jiayuan Mao, Chuang Gan, Pushmeet Kohli +2

cs.CV2018

Visual Object Networks: Image Generation with Disentangled 3D Representation

Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang +4

cs.CV2018

3D Shape Perception from Monocular Vision, Touch, and Shape Priors

Shaoxiong Wang, Jiajun Wu, Xingyuan Sun +4

cs.CV2019

3D Interpreter Networks for Viewer-Centered Wireframe Modeling

Jiajun Wu, Tianfan Xue, Joseph J. Lim +4

The paper introduces 3D Interpreter Networks, an end‑to‑end system that first predicts 2D keypoint heatmaps from a single image and then infers the 3D wireframe skeleton and pose,…

#3d reconstruction#keypoint detection#synthetic data training#viewer‑centered modeling
cs.CV2018

Learning Shape Priors for Single-View 3D Completion and Reconstruction

Jiajun Wu, Chengkai Zhang, Xiuming Zhang +3

cs.RO2019

DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions

Zhenjia Xu, Jiajun Wu, Andy Zeng +2

cs.CV2017

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Jiajun Wu, Chengkai Zhang, Tianfan Xue +2

cs.CV2017

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning

Andrew Owens, Jiajun Wu, Josh H. McDermott +2

cs.CV2018

Physical Primitive Decomposition

Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum +1

cs.CV2018

Seeing Tree Structure from Vibration

Tianfan Xue, Jiajun Wu, Zhoutong Zhang +3

cs.CV2018

Self-Supervised Intrinsic Image Decomposition

Michael Janner, Jiajun Wu, Tejas D. Kulkarni +2

cs.CV2018

3D-Aware Scene Manipulation via Inverse Graphics

Shunyu Yao, Tzu Ming Harry Hsu, Jun-Yan Zhu +4

cs.CV2019

Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks

Tianfan Xue, Jiajun Wu, Katherine L. Bouman +1

The paper introduces a probabilistic model using a Cross Convolutional Network to generate multiple plausible future video frames from a single input image.

#future frame prediction#probabilistic modeling#cross convolutional networks#video synthesis
cs.AI2016

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

Renqiao Zhang, Jiajun Wu, Chengkai Zhang +2

cs.LG2018

Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks

David Zheng, Vinson Luo, Jiajun Wu +1

cs.RO2018

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics

Yuanming Hu, Jiancheng Liu, Andrew Spielberg +5

cs.CV2016

Ambient Sound Provides Supervision for Visual Learning

Andrew Owens, Jiajun Wu, Josh H. McDermott +2

cs.CV2018

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

Xingyuan Sun, Jiajun Wu, Xiuming Zhang +5