b'Shenlong Wang'

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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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...
01/18/2021 ∙ by Min Bai, et al. ∙ 3 ∙ 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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Asynchronous Multi-View SLAM

Existing multi-camera SLAM systems assume synchronized shutters for all ...
01/17/2021 ∙ by Anqi Joyce Yang, et al. ∙ 0 ∙ share

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GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition

Scalable sensor simulation is an important yet challenging open problem ...
01/16/2021 ∙ by Yun Chen, et al. ∙ 14 ∙ share

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SceneGen: Learning to Generate Realistic Traffic Scenes

We consider the problem of generating realistic traffic scenes automatic...
01/16/2021 ∙ by Shuhan Tan, et al. ∙ 6 ∙ share

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

We are interested in understanding whether retrieval-based localization ...
12/23/2020 ∙ by Julieta Martinez, et al. ∙ 8 ∙ 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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Deep Continuous Fusion for Multi-Sensor 3D Object Detection

In this paper, we propose a novel 3D object detector that can exploit bo...
12/20/2020 ∙ by Ming Liang, et al. ∙ 7 ∙ share

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Learning to Localize Through Compressed Binary Maps

One of the main difficulties of scaling current localization systems to ...
12/20/2020 ∙ by Xinkai Wei, et al. ∙ 8 ∙ share

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Learning to Localize Using a LiDAR Intensity Map

In this paper we propose a real-time, calibration-agnostic and effective...
12/20/2020 ∙ by Ioan Andrei Bârsan, et al. ∙ 13 ∙ share

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MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

We present a novel compression algorithm for reducing the storage of LiD...
11/15/2020 ∙ by Sourav Biswas, 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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DSDNet: Deep Structured self-Driving Network

In this paper, we propose the Deep Structured self-Driving Network (DSDN...
08/13/2020 ∙ by Wenyuan Zeng, et al. ∙ 5 ∙ 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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OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

We present a novel deep compression algorithm to reduce the memory footp...
05/14/2020 ∙ by Lila Huang, et al. ∙ 24 ∙ share

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Identifying Unknown Instances for Autonomous Driving

In the past few years, we have seen great progress in perception algorit...
10/24/2019 ∙ by Kelvin Wong, et al. ∙ 0 ∙ share

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Efficient Graph Generation with Graph Recurrent Attention Networks

We propose a new family of efficient and expressive deep generative mode...
10/02/2019 ∙ by Renjie Liao, et al. ∙ 16 ∙ 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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DSIC: Deep Stereo Image Compression

In this paper we tackle the problem of stereo image compression, and lev...
08/09/2019 ∙ by Jerry Liu, et al. ∙ 3 ∙ 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 Multi-Sensor Lane Detection

Reliable and accurate lane detection has been a long-standing problem in...
05/04/2019 ∙ by Min Bai, et al. ∙ 10 ∙ 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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TorontoCity: Seeing the World with a Million Eyes

In this paper we introduce the TorontoCity benchmark, which covers the f...
12/01/2016 ∙ by Shenlong Wang, et al. ∙ 0 ∙ share

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AutoScaler: Scale-Attention Networks for Visual Correspondence

Finding visual correspondence between local features is key to many comp...
11/17/2016 ∙ by Shenlong Wang, et al. ∙ 0 ∙ 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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Shenlong Wang

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