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Deep Feedback Inverse Problem Solver
We present an efficient, effective, and generic approach towards solving...
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Secrets of 3D Implicit Object Shape Reconstruction in the Wild
Reconstructing high-fidelity 3D objects from sparse, partial observation...
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Deep Parametric Continuous Convolutional Neural Networks
Standard convolutional neural networks assume a grid structured input is...
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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...
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VideoClick: Video Object Segmentation with a Single Click
Annotating videos with object segmentation masks typically involves a tw...
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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...
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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...
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Convolutional Recurrent Network for Road Boundary Extraction
Creating high definition maps that contain precise information of static...
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Recovering and Simulating Pedestrians in the Wild
Sensor simulation is a key component for testing the performance of self...
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Conditional Entropy Coding for Efficient Video Compression
We propose a very simple and efficient video compression framework that ...
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Weakly-supervised 3D Shape Completion in the Wild
3D shape completion for real data is important but challenging, since pa...
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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...
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LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
We tackle the problem of producing realistic simulations of LiDAR point ...
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PolyTransform: Deep Polygon Transformer for Instance Segmentation
In this paper, we propose PolyTransform, a novel instance segmentation a...
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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...
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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...
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Deep Rigid Instance Scene Flow
In this paper we tackle the problem of scene flow estimation in the cont...
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The Sound of Motions
Sounds originate from object motions and vibrations of surrounding air. ...
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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...
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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 ...
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Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
We develop predictive models of pedestrian dynamics by encoding the coup...
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