Jiajun Wu

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MIT ∙ Stanford University

Visiting Faculty Researcher, Google Research

Featured Co-authors

Sergey Levine
256 publications
Yue Wang
134 publications
Li Fei-Fei
109 publications
Devi Parikh
105 publications
Joshua B. Tenenbaum
103 publications
Cordelia Schmid
96 publications
Antonio Torralba
95 publications
Chelsea Finn
93 publications
Bo Liu
93 publications
Pushmeet Kohli
88 publications
Xiao Liu
78 publications

Temporal and Object Quantification Networks

We present Temporal and Object Quantification Networks (TOQ-Nets), a new...
06/10/2021 ∙ by Jiayuan Mao, et al. ∙ 3 ∙ share

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KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control

We introduce KeypointDeformer, a novel unsupervised method for shape con...
04/22/2021 ∙ by Tomas Jakab, et al. ∙ 11 ∙ share

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Hierarchical Motion Understanding via Motion Programs

Current approaches to video analysis of human motion focus on raw pixels...
04/22/2021 ∙ by Sumith Kulal, et al. ∙ 6 ∙ share

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De-rendering the World's Revolutionary Artefacts

Recent works have shown exciting results in unsupervised image de-render...
04/08/2021 ∙ by Shangzhe Wu, et al. ∙ 4 ∙ share

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3D Shape Generation and Completion through Point-Voxel Diffusion

We propose a novel approach for probabilistic generative modeling of 3D ...
04/08/2021 ∙ by Linqi Zhou, et al. ∙ 2 ∙ share

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Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning

We study the problem of dynamic visual reasoning on raw videos. This is ...
03/30/2021 ∙ by Zhenfang Chen, et al. ∙ 5 ∙ share

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Repopulating Street Scenes

We present a framework for automatically reconfiguring images of street ...
03/30/2021 ∙ by Yifan Wang, et al. ∙ 13 ∙ share

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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 Single 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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