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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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08/02/2023
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
A self-driving vehicle (SDV) must be able to perceive its surroundings a...
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06/27/2023
Rethinking Closed-loop Training for Autonomous Driving
Recent advances in high-fidelity simulators have enabled closed-loop tra...
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11/04/2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
The task of motion forecasting is critical for self-driving vehicles (SD...
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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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06/25/2021
NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation
In this paper, we present a non-parametric structured latent variable mo...
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04/08/2021
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
Self-driving vehicles must perceive and predict the future positions of ...
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01/20/2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
In order to plan a safe maneuver, self-driving vehicles need to understa...
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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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01/18/2021
Deep Structured Reactive Planning
An intelligent agent operating in the real-world must balance achieving ...
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01/18/2021
MP3: A Unified Model to Map, Perceive, Predict and Plan
High-definition maps (HD maps) are a key component of most modern self-d...
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01/17/2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
Modern self-driving perception systems have been shown to improve upon p...
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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
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
Over the last few years, we have witnessed tremendous progress on many s...
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01/17/2021
End-to-end Interpretable Neural Motion Planner
In this paper, we propose a neural motion planner (NMP) for learning to ...
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01/17/2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Forecasting the future behaviors of dynamic actors is an important task ...
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01/17/2021
Network Automatic Pruning: Start NAP and Take a Nap
Network pruning can significantly reduce the computation and memory foot...
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01/17/2021
PLUME: Efficient 3D Object Detection from Stereo Images
3D object detection plays a significant role in various robotic applicat...
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01/17/2021
Cost-Efficient Online Hyperparameter Optimization
Recent work on hyperparameters optimization (HPO) has shown the possibil...
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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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01/17/2021
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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01/17/2021
Adversarial Attacks On Multi-Agent Communication
Growing at a very fast pace, modern autonomous systems will soon be depl...
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01/17/2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simulation has the potential to massively scale evaluation of self-drivi...
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01/16/2021
Diverse Complexity Measures for Dataset Curation in Self-driving
Modern self-driving autonomy systems heavily rely on deep learning. As a...
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01/16/2021
Self-Supervised Representation Learning from Flow Equivariance
Self-supervised representation learning is able to learn semantically me...
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01/16/2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
As self-driving systems become better, simulating scenarios where the au...
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01/16/2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Self-driving vehicles need to anticipate a diverse set of future traffic...
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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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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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01/07/2021
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
In this paper, we address the important problem in self-driving of forec...
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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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12/22/2020
Learning Joint 2D-3D Representations for Depth Completion
In this paper, we tackle the problem of depth completion from RGBD data....
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12/22/2020
Multi-Task Multi-Sensor Fusion for 3D Object Detection
In this paper we propose to exploit multiple related tasks for accurate ...
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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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12/22/2020
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
HDNET: Exploiting HD Maps for 3D Object Detection
In this paper we show that High-Definition (HD) maps provide strong prio...
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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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12/21/2020
End-to-End Deep Structured Models for Drawing Crosswalks
In this paper we address the problem of detecting crosswalks from LiDAR ...
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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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12/14/2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
In this paper, we derive generalization bounds for the two primary class...
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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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11/16/2020
Recovering and Simulating Pedestrians in the Wild
Sensor simulation is a key component for testing the performance of self...
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11/15/2020
