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08/03/2023
UniSim: A Neural Closed-Loop Sensor Simulator
Rigorously testing autonomy systems is essential for making safe self-dr...
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04/26/2023
What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging
Inferring past human motion from RGB images is challenging due to the in...
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04/03/2023
VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection
In recent years, transformer-based detectors have demonstrated remarkabl...
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12/12/2022
MIRA: Mental Imagery for Robotic Affordances
Humans form mental images of 3D scenes to support counterfactual imagina...
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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...
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04/28/2022
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis
We present Neural Mixtures of Planar Experts (NeurMiPs), a novel planar-...
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04/13/2021
BARF: Bundle-Adjusting Neural Radiance Fields
Neural Radiance Fields (NeRF) have recently gained a surge of interest w...
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01/19/2021
Deep Feedback Inverse Problem Solver
We present an efficient, effective, and generic approach towards solving...
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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
Deep Parametric Continuous Convolutional Neural Networks
Standard convolutional neural networks assume a grid structured input is...
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01/17/2021
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
Constructing and animating humans is an important component for building...
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01/16/2021
VideoClick: Video Object Segmentation with a Single Click
Annotating videos with object segmentation masks typically involves a tw...
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12/22/2020
DAGMapper: Learning to Map by Discovering Lane Topology
One of the fundamental challenges to scale self-driving is being able to...
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12/22/2020
Hierarchical Recurrent Attention Networks for Structured Online Maps
In this paper, we tackle the problem of online road network extraction f...
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12/21/2020
Convolutional Recurrent Network for Road Boundary Extraction
Creating high definition maps that contain precise information of static...
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11/16/2020
Recovering and Simulating Pedestrians in the Wild
Sensor simulation is a key component for testing the performance of self...
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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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08/20/2020
Weakly-supervised 3D Shape Completion in the Wild
3D shape completion for real data is important but challenging, since pa...
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07/30/2020
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation
Obtaining precise instance segmentation masks is of high importance in m...
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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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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...
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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...
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04/18/2019
Deep Rigid Instance Scene Flow
In this paper we tackle the problem of scene flow estimation in the cont...
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04/11/2019
The Sound of Motions
Sounds originate from object motions and vibrations of surrounding air. ...
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12/04/2018
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
We tackle the problem of using 3D information in convolutional neural ne...
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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 ...
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04/05/2016