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01/18/2021
Secrets of 3D Implicit Object Shape Reconstruction in the Wild
Reconstructing high-fidelity 3D objects from sparse, partial observation...
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01/17/2021
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds
In the past few years we have seen great advances in 3D object detection...
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01/16/2021
SceneGen: Learning to Generate Realistic Traffic Scenes
We consider the problem of generating realistic traffic scenes automatic...
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12/22/2020
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
In this paper we propose a novel deep neural network that is able to joi...
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12/13/2020
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
In this paper, we propose a geometric neural network with edge-aware ref...
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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...
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08/20/2020
Conditional Entropy Coding for Efficient Video Compression
We propose a very simple and efficient video compression framework that ...
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08/17/2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
In this paper, we explore the use of vehicle-to-vehicle (V2V) communicat...
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07/28/2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
We tackle the problem of exploiting Radar for perception in the context ...
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06/16/2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
We tackle the problem of producing realistic simulations of LiDAR point ...
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12/05/2019
PolyTransform: Deep Polygon Transformer for Instance Segmentation
In this paper, we propose PolyTransform, a novel instance segmentation a...
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05/15/2019
DARNet: Deep Active Ray Network for Building Segmentation
In this paper, we propose a Deep Active Ray Network (DARNet) for automat...
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01/12/2019
UPSNet: A Unified Panoptic Segmentation Network
In this paper, we propose a unified panoptic segmentation network (UPSNe...
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03/24/2018
Learning to Reweight Examples for Robust Deep Learning
Deep neural networks have been shown to be very powerful modeling tools ...
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07/14/2017
The Reversible Residual Network: Backpropagation Without Storing Activations
Deep residual networks (ResNets) have significantly pushed forward the s...
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01/15/2017
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
We study characteristics of receptive fields of units in deep convolutio...
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12/01/2016
