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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...
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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...
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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...
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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...
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12/06/2022
DiffTune^+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation
Controller tuning is a vital step to ensure the controller delivers its ...
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12/05/2022
PEANUT: Predicting and Navigating to Unseen Targets
Efficient ObjectGoal navigation (ObjectNav) in novel environments requir...
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12/02/2022
QFF: Quantized Fourier Features for Neural Field Representations
Multilayer perceptrons (MLPs) learn high frequencies slowly. Recent appr...
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11/04/2022
CASA: Category-agnostic Skeletal Animal Reconstruction
Recovering the skeletal shape of an animal from a monocular video is a l...
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09/20/2022
DiffTune: Auto-Tuning through Auto-Differentiation
The performance of a robot controller depends on the choice of its param...
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09/08/2022
Learning to Generate Realistic LiDAR Point Clouds
We present LiDARGen, a novel, effective, and controllable generative mod...
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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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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
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...
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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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01/17/2021
Asynchronous Multi-View SLAM
Existing multi-camera SLAM systems assume synchronized shutters for all ...
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01/16/2021
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving
Scalable sensor simulation is an important yet challenging open problem ...
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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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12/23/2020
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars
We are interested in understanding whether retrieval-based localization ...
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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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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...
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12/20/2020
Learning to Localize Through Compressed Binary Maps
One of the main difficulties of scaling current localization systems to ...
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12/20/2020
Learning to Localize Using a LiDAR Intensity Map
In this paper we propose a real-time, calibration-agnostic and effective...
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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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08/13/2020
DSDNet: Deep Structured self-Driving Network
In this paper, we propose the Deep Structured self-Driving Network (DSDN...
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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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05/14/2020
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
We present a novel deep compression algorithm to reduce the memory footp...
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10/24/2019
Identifying Unknown Instances for Autonomous Driving
In the past few years, we have seen great progress in perception algorit...
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10/02/2019
Efficient Graph Generation with Graph Recurrent Attention Networks
We propose a new family of efficient and expressive deep generative mode...
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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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08/09/2019
DSIC: Deep Stereo Image Compression
In this paper we tackle the problem of stereo image compression, and lev...
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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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05/04/2019
Deep Multi-Sensor Lane Detection
Reliable and accurate lane detection has been a long-standing problem in...
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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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12/01/2016
TorontoCity: Seeing the World with a Million Eyes
In this paper we introduce the TorontoCity benchmark, which covers the f...
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11/17/2016
AutoScaler: Scale-Attention Networks for Visual Correspondence
Finding visual correspondence between local features is key to many comp...
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06/23/2016
