research
∙
01/22/2021
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization
Medical terminology normalization aims to map the clinical mention to te...
share
research
∙
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...
research
∙
01/17/2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Forecasting the future behaviors of dynamic actors is an important task ...
research
∙
01/17/2021
PLUME: Efficient 3D Object Detection from Stereo Images
3D object detection plays a significant role in various robotic applicat...
research
∙
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...
research
∙
12/22/2020
Learning Joint 2D-3D Representations for Depth Completion
In this paper, we tackle the problem of depth completion from RGBD data....
research
∙
12/22/2020
Multi-Task Multi-Sensor Fusion for 3D Object Detection
In this paper we propose to exploit multiple related tasks for accurate ...
research
∙
12/21/2020
HDNET: Exploiting HD Maps for 3D Object Detection
In this paper we show that High-Definition (HD) maps provide strong prio...
research
∙
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...
research
∙
11/16/2020
Recovering and Simulating Pedestrians in the Wild
Sensor simulation is a key component for testing the performance of self...
research
∙
11/02/2020
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
In this paper, we propose an end-to-end self-driving network featuring a...
research
∙
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...
research
∙
08/13/2020
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
We present a novel method for testing the safety of self-driving vehicle...
research
∙
08/13/2020
End-to-end Contextual Perception and Prediction with Interaction Transformer
In this paper, we tackle the problem of detecting objects in 3D and fore...
research
∙
07/28/2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
We tackle the problem of exploiting Radar for perception in the context ...
research
∙
07/27/2020
Learning Lane Graph Representations for Motion Forecasting
We propose a motion forecasting model that exploits a novel structured m...
research
∙
05/29/2020
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
We tackle the problem of joint perception and motion forecasting in the ...
research
∙
04/03/2020
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets
This paper presents a novel, automated, generative adversarial networks ...
research
∙
04/01/2020
Physically Realizable Adversarial Examples for LiDAR Object Detection
Modern autonomous driving systems rely heavily on deep learning models t...
research
∙
10/24/2019
Identifying Unknown Instances for Autonomous Driving
In the past few years, we have seen great progress in perception algorit...
research
∙
03/31/2018
Adversarial Attacks and Defences Competition
To accelerate research on adversarial examples and robustness of machine...
research
∙
12/08/2017
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Neural networks are vulnerable to adversarial examples. This phenomenon ...
research
∙
11/22/2017