b'Shenlong Wang'

research

∙ 08/24/2023

MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models

Despite tremendous advancements in bird's-eye view (BEV) perception, exi...

0 Xiyue Zhu, et al. ∙

research

∙ 06/15/2023

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video

We show how to build a model that allows realistic, free-viewpoint rende...

0 Zhi-Hao Lin, et al. ∙

research

∙ 06/15/2023

Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving

We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framewo...

0 Yuan Shen, et al. ∙

research

∙ 06/01/2023

Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds

We build rearticulable models for arbitrary everyday man-made objects co...

0 Shaowei Liu, et al. ∙

research

∙ 12/06/2022

DiffTune^+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation

Controller tuning is a vital step to ensure the controller delivers its ...

0 Sheng Cheng, et al. ∙

research

∙ 12/05/2022

PEANUT: Predicting and Navigating to Unseen Targets

Efficient ObjectGoal navigation (ObjectNav) in novel environments requir...

0 Albert J. Zhai, et al. ∙

research

∙ 12/02/2022

QFF: Quantized Fourier Features for Neural Field Representations

Multilayer perceptrons (MLPs) learn high frequencies slowly. Recent appr...

0 Jae Yong Lee, et al. ∙

research

∙ 11/04/2022

CASA: Category-agnostic Skeletal Animal Reconstruction

Recovering the skeletal shape of an animal from a monocular video is a l...

0 Yuefan Wu, et al. ∙

research

∙ 09/20/2022

DiffTune: Auto-Tuning through Auto-Differentiation

The performance of a robot controller depends on the choice of its param...

0 Sheng Cheng, et al. ∙

research

∙ 09/08/2022

Learning to Generate Realistic LiDAR Point Clouds

We present LiDARGen, a novel, effective, and controllable generative mod...

0 Vlas Zyrianov, et al. ∙

research

∙ 06/16/2022

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry

Recovering the spatial layout of the cameras and the geometry of the sce...

0 Wei-Chiu Ma, et al. ∙

research

∙ 04/28/2022

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis

We present Neural Mixtures of Planar Experts (NeurMiPs), a novel planar-...

14 Zhi-Hao Lin, et al. ∙

research

∙ 01/19/2021

Deep Feedback Inverse Problem Solver

We present an efficient, effective, and generic approach towards solving...

0 Wei-Chiu Ma, et al. ∙

research

∙ 01/18/2021

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving

In this paper, we introduce a non-parametric memory representation for s...

3 Min Bai, et al. ∙

research

∙ 01/18/2021

Secrets of 3D Implicit Object Shape Reconstruction in the Wild

Reconstructing high-fidelity 3D objects from sparse, partial observation...

28 Shivam Duggal, et al. ∙

research

∙ 01/17/2021

Deep Parametric Continuous Convolutional Neural Networks

Standard convolutional neural networks assume a grid structured input is...

18 Shenlong Wang, et al. ∙

research

∙ 01/17/2021

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

Constructing and animating humans is an important component for building...

5 Shenlong Wang, et al. ∙

research

∙ 01/17/2021

Asynchronous Multi-View SLAM

Existing multi-camera SLAM systems assume synchronized shutters for all ...

0 Anqi Joyce Yang, et al. ∙

research

∙ 01/16/2021

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving

Scalable sensor simulation is an important yet challenging open problem ...

14 Yun Chen, et al. ∙

research

∙ 01/16/2021

SceneGen: Learning to Generate Realistic Traffic Scenes

We consider the problem of generating realistic traffic scenes automatic...

6 Shuhan Tan, et al. ∙

research

∙ 12/23/2020

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars

We are interested in understanding whether retrieval-based localization ...

8 Julieta Martinez, et al. ∙

research

∙ 12/21/2020

Convolutional Recurrent Network for Road Boundary Extraction

Creating high definition maps that contain precise information of static...

6 Justin Liang, et al. ∙

research

∙ 12/20/2020

Deep Continuous Fusion for Multi-Sensor 3D Object Detection

In this paper, we propose a novel 3D object detector that can exploit bo...

7 Ming Liang, et al. ∙

research

∙ 12/20/2020

Learning to Localize Through Compressed Binary Maps

One of the main difficulties of scaling current localization systems to ...

8 Xinkai Wei, et al. ∙

research

∙ 12/20/2020

Learning to Localize Using a LiDAR Intensity Map

In this paper we propose a real-time, calibration-agnostic and effective...

13 Ioan Andrei Bârsan, et al. ∙

research

∙ 11/15/2020

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

We present a novel compression algorithm for reducing the storage of LiD...

0 Sourav Biswas, et al. ∙

research

∙ 08/20/2020

Conditional Entropy Coding for Efficient Video Compression

We propose a very simple and efficient video compression framework that ...

3 Jerry Liu, et al. ∙

research

∙ 08/13/2020

DSDNet: Deep Structured self-Driving Network

In this paper, we propose the Deep Structured self-Driving Network (DSDN...

5 Wenyuan Zeng, et al. ∙

research

∙ 06/16/2020

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

We tackle the problem of producing realistic simulations of LiDAR point ...

12 Sivabalan Manivasagam, et al. ∙

research

∙ 05/14/2020

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

We present a novel deep compression algorithm to reduce the memory footp...

24 Lila Huang, et al. ∙

research

∙ 10/24/2019

Identifying Unknown Instances for Autonomous Driving

In the past few years, we have seen great progress in perception algorit...

0 Kelvin Wong, et al. ∙

research

∙ 10/02/2019

Efficient Graph Generation with Graph Recurrent Attention Networks

We propose a new family of efficient and expressive deep generative mode...

16 Renjie Liao, et al. ∙

research

∙ 09/12/2019

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Our goal is to significantly speed up the runtime of current state-of-th...

0 Shivam Duggal, et al. ∙

research

∙ 08/09/2019

DSIC: Deep Stereo Image Compression

In this paper we tackle the problem of stereo image compression, and lev...

3 Jerry Liu, et al. ∙

research

∙ 08/08/2019

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

In this paper we propose a novel semantic localization algorithm that ex...

4 Wei-Chiu Ma, et al. ∙

research

∙ 05/04/2019

Deep Multi-Sensor Lane Detection

Reliable and accurate lane detection has been a long-standing problem in...

10 Min Bai, et al. ∙

research

∙ 04/18/2019

Deep Rigid Instance Scene Flow

In this paper we tackle the problem of scene flow estimation in the cont...

6 Wei-Chiu Ma, et al. ∙

research

∙ 12/01/2016

TorontoCity: Seeing the World with a Million Eyes

In this paper we introduce the TorontoCity benchmark, which covers the f...

0 Shenlong Wang, et al. ∙

research

∙ 11/17/2016

AutoScaler: Scale-Attention Networks for Visual Correspondence

Finding visual correspondence between local features is key to many comp...

0 Shenlong Wang, et al. ∙

research

∙ 06/23/2016

Find your Way by Observing the Sun and Other Semantic Cues

In this paper we present a robust, efficient and affordable approach to ...

0 Wei-Chiu Ma, et al. ∙

Shenlong Wang

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