Jiajun Wu

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MIT ∙ Stanford University

Visiting Faculty Researcher, Google Research

Featured Co-authors

Sergey Levine
239 publications
Yue Wang
120 publications
Li Fei-Fei
105 publications
Devi Parikh
103 publications
Joshua B. Tenenbaum
93 publications
Pushmeet Kohli
87 publications
Antonio Torralba
86 publications
Chelsea Finn
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Cordelia Schmid
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Bo Liu
80 publications
Xiao Liu
68 publications

Learning Temporal Dynamics from Cycles in Narrated Video

Learning to model how the world changes as time elapses has proven a cha...
01/07/2021 ∙ by Dave Epstein, et al. ∙ 2 ∙ share

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Language-Mediated, Object-Centric Representation Learning

We present Language-mediated, Object-centric Representation Learning (LO...
12/31/2020 ∙ by Ruocheng Wang, et al. ∙ 12 ∙ share

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Augmenting Policy Learning with Routines Discovered from a Demonstration

Humans can abstract prior knowledge from very little data and use it to ...
12/23/2020 ∙ by Zelin Zhao, et al. ∙ 5 ∙ share

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Object-Centric Diagnosis of Visual Reasoning

When answering questions about an image, it not only needs knowing what ...
12/21/2020 ∙ by Jianwei Yang, et al. ∙ 1 ∙ share

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Neural Radiance Flow for 4D View Synthesis and Video Processing

We present a method, Neural Radiance Flow (NeRFlow),to learn a 4D spatia...
12/17/2020 ∙ by Yilun Du, et al. ∙ 2 ∙ share

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Object-Centric Neural Scene Rendering

We present a method for composing photorealistic scenes from captured im...
12/15/2020 ∙ by Michelle Guo, et al. ∙ 8 ∙ share

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pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

We have witnessed rapid progress on 3D-aware image synthesis, leveraging...
12/02/2020 ∙ by Eric R. Chan, et al. ∙ 14 ∙ share

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Multi-Plane Program Induction with 3D Box Priors

We consider two important aspects in understanding and editing images: m...
11/19/2020 ∙ by Yikai Li, et al. ∙ 0 ∙ share

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Learning 3D Dynamic Scene Representations for Robot Manipulation

3D scene representation for robot manipulation should capture three key ...
11/03/2020 ∙ by Zhenjia Xu, et al. ∙ 2 ∙ share

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Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection

A common dilemma in 3D object detection for autonomous driving is that h...
09/24/2020 ∙ by Yue Wang, et al. ∙ 0 ∙ share

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Unsupervised Discovery of 3D Physical Objects from Video

We study the problem of unsupervised physical object discovery. Unlike e...
07/24/2020 ∙ by Yilun Du, et al. ∙ 7 ∙ share

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End-to-End Optimization of Scene Layout

We propose an end-to-end variational generative model for scene layout s...
07/23/2020 ∙ by Andrew Luo, et al. ∙ 11 ∙ share

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Perspective Plane Program Induction from a Single Image

We study the inverse graphics problem of inferring a holistic representa...
06/25/2020 ∙ by Yikai Li, et al. ∙ 8 ∙ share

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Learning Physical Graph Representations from Visual Scenes

Convolutional Neural Networks (CNNs) have proved exceptional at learning...
06/22/2020 ∙ by Daniel M. Bear, et al. ∙ 10 ∙ share

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When is Particle Filtering Efficient for POMDP Sequential Planning?

Particle filtering is a popular method for inferring latent states in st...
06/10/2020 ∙ by Simon S. Du, et al. ∙ 1 ∙ share

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Data Represention for Deep Learning with Priori Knowledge of Symmetric Wireless Tasks

Deep neural networks (DNNs) have been applied to address various wireles...
05/18/2020 ∙ by Chengjian Sun, et al. ∙ 0 ∙ share

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Visual Grounding of Learned Physical Models

Humans intuitively recognize objects' physical properties and predict th...
04/28/2020 ∙ by Yunzhu Li, et al. ∙ 2 ∙ share

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Visual Concept-Metaconcept Learning

Humans reason with concepts and metaconcepts: we recognize red and green...
02/04/2020 ∙ by Chi Han, et al. ∙ 1 ∙ share

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Look, Listen, and Act: Towards Audio-Visual Embodied Navigation

A crucial aspect of mobile intelligent agents is their ability to integr...
12/25/2019 ∙ by Chuang Gan, et al. ∙ 2 ∙ share

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Accurate Vision-based Manipulation through Contact Reasoning

Planning contact interactions is one of the core challenges of many robo...
11/08/2019 ∙ by Alina Kloss, et al. ∙ 18 ∙ share

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Proactive Optimization with Unsupervised Learning

Proactive resource allocation, say proactive caching at wireless edge, h...
10/29/2019 ∙ by Jiajun Wu, et al. ∙ 0 ∙ share

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Entity Abstraction in Visual Model-Based Reinforcement Learning

This paper tests the hypothesis that modeling a scene in terms of entiti...
10/28/2019 ∙ by Rishi Veerapaneni, et al. ∙ 33 ∙ share

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Learning Compositional Koopman Operators for Model-Based Control

Finding an embedding space for a linear approximation of a nonlinear dyn...
10/18/2019 ∙ by Yunzhu Li, et al. ∙ 0 ∙ share

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CLEVRER: CoLlision Events for Video REpresentation and Reasoning

The ability to reason about temporal and causal events from videos lies ...
10/03/2019 ∙ by Kexin Yi, et al. ∙ 12 ∙ share

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Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs

We present the DualSMC network that solves continuous POMDPs by learning...
09/28/2019 ∙ by Yunbo Wang, et al. ∙ 15 ∙ share

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Program-Guided Image Manipulators

Humans are capable of building holistic representations for images at va...
09/04/2019 ∙ by Jiayuan Mao, et al. ∙ 4 ∙ share

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Neurally-Guided Structure Inference

Most structure inference methods either rely on exhaustive search or are...
06/17/2019 ∙ by Sidi Lu, et al. ∙ 2 ∙ share

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

We study the problem of learning physical object representations for rob...
06/10/2019 ∙ by Zhenjia Xu, et al. ∙ 13 ∙ share

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

We propose the Neuro-Symbolic Concept Learner (NS-CL), a model that lear...
04/26/2019 ∙ by Jiayuan Mao, et al. ∙ 12 ∙ share

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Combining Physical Simulators and Object-Based Networks for Control

Physics engines play an important role in robot planning and control; ho...
04/13/2019 ∙ by Anurag Ajay, et al. ∙ 0 ∙ share

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Unsupervised Discovery of Parts, Structure, and Dynamics

Humans easily recognize object parts and their hierarchical structure by...
03/12/2019 ∙ by Zhenjia Xu, et al. ∙ 12 ∙ share

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Stochastic Prediction of Multi-Agent Interactions from Partial Observations

We present a method that learns to integrate temporal information, from ...
02/25/2019 ∙ by Chen Sun, et al. ∙ 8 ∙ share

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Learning to Infer and Execute 3D Shape Programs

Human perception of 3D shapes goes beyond reconstructing them as a set o...
01/09/2019 ∙ by Yonglong Tian, et al. ∙ 6 ∙ share

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Learning to Reconstruct Shapes from Unseen Classes

From a single image, humans are able to perceive the full 3D shape of an...
12/28/2018 ∙ by Xiuming Zhang, et al. ∙ 0 ∙ share

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Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

Object-based factorizations provide a useful level of abstraction for in...
12/28/2018 ∙ by Michael Janner, et al. ∙ 14 ∙ share

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Visual Object Networks: Image Generation with Disentangled 3D Representation

Recent progress in deep generative models has led to tremendous breakthr...
12/06/2018 ∙ by Jun-Yan Zhu, et al. ∙ 8 ∙ share

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

We marry two powerful ideas: deep representation learning for visual rec...
10/04/2018 ∙ by Kexin Yi, et al. ∙ 0 ∙ share

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

Real-life control tasks involve matter of various substances---rigid or ...
10/03/2018 ∙ by Yunzhu Li, et al. ∙ 2 ∙ share

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

Physical simulators have been widely used in robot planning and control....
10/02/2018 ∙ by Yuanming Hu, et al. ∙ 2 ∙ share

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Propagation Networks for Model-Based Control Under Partial Observation

There has been an increasing interest in learning dynamics simulators fo...
09/28/2018 ∙ by Yunzhu Li, et al. ∙ 4 ∙ share

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MoSculp: Interactive Visualization of Shape and Time

We present a system that allows users to visualize complex human motion ...
09/14/2018 ∙ by Xiuming Zhang, et al. ∙ 0 ∙ share

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Physical Primitive Decomposition

Objects are made of parts, each with distinct geometry, physics, functio...
09/13/2018 ∙ by Zhijian Liu, et al. ∙ 4 ∙ share

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

The problem of single-view 3D shape completion or reconstruction is chal...
09/13/2018 ∙ by Jiajun Wu, et al. ∙ 0 ∙ share

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Seeing Tree Structure from Vibration

Humans recognize object structure from both their appearance and motion;...
09/13/2018 ∙ by Tianfan Xue, et al. ∙ 4 ∙ share

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3D-Aware Scene Manipulation via Inverse Graphics

We aim to obtain an interpretable, expressive and disentangled scene rep...
08/28/2018 ∙ by Shunyu Yao, et al. ∙ 0 ∙ share

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

Perceiving accurate 3D object shape is important for robots to interact ...
08/09/2018 ∙ by Shaoxiong Wang, et al. ∙ 8 ∙ share

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

An efficient, generalizable physical simulator with universal uncertaint...
08/09/2018 ∙ by Anurag Ajay, et al. ∙ 0 ∙ share

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Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks

We study the problem of synthesizing a number of likely future frames fr...
07/24/2018 ∙ by Tianfan Xue, et al. ∙ 2 ∙ share

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Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks

We propose a framework for the completely unsupervised learning of laten...
07/24/2018 ∙ by David Zheng, et al. ∙ 0 ∙ share

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

We study 3D shape modeling from a single image and make contributions to...
04/12/2018 ∙ by Xingyuan Sun, et al. ∙ 2 ∙ share

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