Wei-Chiu Ma

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Uber ∙ MIT

Deep Feedback Inverse Problem Solver

We present an efficient, effective, and generic approach towards solving...
01/19/2021 ∙ by Wei-Chiu Ma, et al. ∙ 0 ∙ share

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Secrets of 3D Implicit Object Shape Reconstruction in the Wild

Reconstructing high-fidelity 3D objects from sparse, partial observation...
01/18/2021 ∙ by Shivam Duggal, et al. ∙ 28 ∙ share

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Deep Parametric Continuous Convolutional Neural Networks

Standard convolutional neural networks assume a grid structured input is...
01/17/2021 ∙ by Shenlong Wang, et al. ∙ 18 ∙ share

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S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling

Constructing and animating humans is an important component for building...
01/17/2021 ∙ by Ze Yang, et al. ∙ 5 ∙ share

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VideoClick: Video Object Segmentation with a Single Click

Annotating videos with object segmentation masks typically involves a tw...
01/16/2021 ∙ by Namdar Homayounfar, et al. ∙ 15 ∙ share

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DAGMapper: Learning to Map by Discovering Lane Topology

One of the fundamental challenges to scale self-driving is being able to...
12/22/2020 ∙ by Namdar Homayounfar, et al. ∙ 1 ∙ share

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Hierarchical Recurrent Attention Networks for Structured Online Maps

In this paper, we tackle the problem of online road network extraction f...
12/22/2020 ∙ by Namdar Homayounfar, et al. ∙ 15 ∙ share

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Convolutional Recurrent Network for Road Boundary Extraction

Creating high definition maps that contain precise information of static...
12/21/2020 ∙ by Justin Liang, et al. ∙ 6 ∙ share

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Recovering and Simulating Pedestrians in the Wild

Sensor simulation is a key component for testing the performance of self...
11/16/2020 ∙ by Ze Yang, et al. ∙ 0 ∙ share

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Conditional Entropy Coding for Efficient Video Compression

We propose a very simple and efficient video compression framework that ...
08/20/2020 ∙ by Jerry Liu, et al. ∙ 3 ∙ share

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Weakly-supervised 3D Shape Completion in the Wild

3D shape completion for real data is important but challenging, since pa...
08/20/2020 ∙ by Jiayuan Gu, et al. ∙ 11 ∙ share

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LevelSet R-CNN: A Deep Variational Method for Instance Segmentation

Obtaining precise instance segmentation masks is of high importance in m...
07/30/2020 ∙ by Namdar Homayounfar, et al. ∙ 10 ∙ share

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LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

We tackle the problem of producing realistic simulations of LiDAR point ...
06/16/2020 ∙ by Sivabalan Manivasagam, et al. ∙ 12 ∙ share

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PolyTransform: Deep Polygon Transformer for Instance Segmentation

In this paper, we propose PolyTransform, a novel instance segmentation a...
12/05/2019 ∙ by Justin Liang, et al. ∙ 24 ∙ share

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DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Our goal is to significantly speed up the runtime of current state-of-th...
09/12/2019 ∙ by Shivam Duggal, et al. ∙ 0 ∙ share

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Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

In this paper we propose a novel semantic localization algorithm that ex...
08/08/2019 ∙ by Wei-Chiu Ma, et al. ∙ 4 ∙ share

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Deep Rigid Instance Scene Flow

In this paper we tackle the problem of scene flow estimation in the cont...
04/18/2019 ∙ by Wei-Chiu Ma, et al. ∙ 6 ∙ share

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The Sound of Motions

Sounds originate from object motions and vibrations of surrounding air. ...
04/11/2019 ∙ by Hang Zhao, et al. ∙ 0 ∙ share

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SurfConv: Bridging 3D and 2D Convolution for RGBD Images

We tackle the problem of using 3D information in convolutional neural ne...
12/04/2018 ∙ by Hang Chu, et al. ∙ 9 ∙ share

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Find your Way by Observing the Sun and Other Semantic Cues

In this paper we present a robust, efficient and affordable approach to ...
06/23/2016 ∙ by Wei-Chiu Ma, et al. ∙ 0 ∙ share

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Forecasting Interactive Dynamics of Pedestrians with Fictitious Play

We develop predictive models of pedestrian dynamics by encoding the coup...
04/05/2016 ∙ by Wei-Chiu Ma, et al. ∙ 0 ∙ share

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Wei-Chiu Ma

Featured Co-authors

Raquel Urtasun

Antonio Torralba

Bin Yang

Sanja Fidler

Hao Su

Chuang Gan

Ersin Yumer

Zihao Wang

Kris M. Kitani

Shenlong Wang

Hang Zhao

Deep Feedback Inverse Problem Solver

Secrets of 3D Implicit Object Shape Reconstruction in the Wild

Deep Parametric Continuous Convolutional Neural Networks

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling

VideoClick: Video Object Segmentation with a Single Click

DAGMapper: Learning to Map by Discovering Lane Topology

Hierarchical Recurrent Attention Networks for Structured Online Maps

Convolutional Recurrent Network for Road Boundary Extraction

Recovering and Simulating Pedestrians in the Wild

Conditional Entropy Coding for Efficient Video Compression

Weakly-supervised 3D Shape Completion in the Wild

LevelSet R-CNN: A Deep Variational Method for Instance Segmentation

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

PolyTransform: Deep Polygon Transformer for Instance Segmentation

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

Deep Rigid Instance Scene Flow

The Sound of Motions

SurfConv: Bridging 3D and 2D Convolution for RGBD Images

Find your Way by Observing the Sun and Other Semantic Cues

Forecasting Interactive Dynamics of Pedestrians with Fictitious Play