research
∙
05/25/2023
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving
This paper addresses the problem of 3D referring expression comprehensio...
share
research
∙
12/06/2022
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
LiDAR-based 3D object detection is an indispensable task in advanced aut...
research
∙
11/22/2022
Transformation-Equivariant 3D Object Detection for Autonomous Driving
3D object detection received increasing attention in autonomous driving ...
research
∙
10/18/2022
Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives
We investigate transductive zero-shot point cloud semantic segmentation ...
research
∙
08/04/2022
Vision-Centric BEV Perception: A Survey
Vision-centric BEV perception has recently received increased attention ...
research
∙
07/26/2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Previous works for LiDAR-based 3D object detection mainly focus on the s...
research
∙
04/03/2022
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
Accurately detecting and tracking pedestrians in 3D space is challenging...
research
∙
03/20/2022
Towards 3D Scene Understanding by Referring Synthetic Models
Promising performance has been achieved for visual perception on the poi...
research
∙
12/31/2021
An Intelligent Self-driving Truck System For Highway Transportation
Recently, there have been many advances in autonomous driving society, a...
research
∙
09/12/2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (inclu...
research
∙
06/17/2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
In Autonomous Driving (AD) systems, perception is both security and safe...
research
∙
05/11/2021
Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation
Domain adaptive semantic segmentation refers to making predictions on a ...
research
∙
03/29/2021
Adaptive Surface Normal Constraint for Depth Estimation
We present a novel method for single image depth estimation using surfac...
research
∙
02/16/2021
LEAD: LiDAR Extender for Autonomous Driving
3D perception using sensors under vehicle industrial standard is the rig...
research
∙
12/15/2020
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation
Holistically understanding an object and its 3D movable parts through vi...
research
∙
07/17/2020
Personalized Speech2Video with 3D Skeleton Regularization and Expressive Body Poses
In this paper, we propose a novel approach to convert given speech audio...
research
∙
07/17/2020
DVI: Depth Guided Video Inpainting for Autonomous Driving
To get clear street-view and photo-realistic simulation in autonomous dr...
research
∙
07/16/2020
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
We present a novel approach to detect, segment, and reconstruct complete...
research
∙
07/11/2020
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points
Current methods for trajectory prediction operate in supervised manners,...
research
∙
07/03/2020
ODE-CNN: Omnidirectional Depth Extension Networks
Omnidirectional 360 camera proliferates rapidly for autonomous robots si...
research
∙
06/05/2020
SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images
In this paper, we propose a novel approach to reconstruct 3D human body ...
research
∙
06/02/2020
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution
Despite the remarkable progresses made in deep-learning based depth map ...
research
∙
04/06/2020
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception
This paper reviews the CVPR 2019 challenge on Autonomous Driving. Baidu'...
research
∙
04/03/2020
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
Existing LiDAR-based 3D object detectors usually focus on the single-fra...
research
∙
03/31/2020
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
In this paper, we present a large-scale detailed 3D face dataset, FaceSc...
research
∙
03/25/2020
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
Current popular online multi-object tracking (MOT) solutions apply singl...
research
∙
03/15/2020
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem
Conventional absolute camera pose via a Perspective-n-Point (PnP) solver...
research
∙
01/19/2020
Gated Path Selection Network for Semantic Segmentation
Semantic segmentation is a challenging task that needs to handle large s...
research
∙
11/29/2019
Domain-invariant Stereo Matching Networks
State-of-the-art stereo matching networks have difficulties in generaliz...
research
∙
11/13/2019
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion
Depth Completion deals with the problem of converting a sparse depth map...
research
∙
10/22/2019
Learning Resilient Behaviors for Navigation Under Uncertainty Environments
Deep reinforcement learning has great potential to acquire complex, adap...
research
∙
08/17/2019
Improved Techniques for Training Adaptive Deep Networks
Adaptive inference is a promising technique to improve the computational...
research
∙
08/11/2019
IoU Loss for 2D/3D Object Detection
In 2D/3D object detection task, Intersection-over-Union (IoU) has been w...
research
∙
07/11/2019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Deep neural networks (DNNs) are found to be vulnerable against adversari...
research
∙
04/24/2019
Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
This paper presents a novel framework to recover detailed human body sha...
research
∙
04/13/2019
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
In the stereo matching task, matching cost aggregation is crucial in bot...
research
∙
01/23/2019
AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms
Simulation systems have become an essential component in the development...
research
∙
01/07/2019
Human Pose Estimation with Spatial Contextual Information
We explore the importance of spatial contextual information in human pos...
research
∙
12/02/2018
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization
Interactive multi-agent simulation algorithms are used to compute the tr...
research
∙
11/29/2018
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Autonomous driving has attracted remarkable attention from both industry...
research
∙
11/27/2018
Part-level Car Parsing and Reconstruction from Single Street View
In this paper, we make the first attempt to build a framework to simulta...
research
∙
11/17/2018
Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows
We present a LIDAR simulation framework that can automatically generate ...
research
∙
11/06/2018
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
To safely and efficiently navigate in complex urban traffic, autonomous ...
research
∙
10/04/2018
Learning Depth with Convolutional Spatial Propagation Network
Depth prediction is one of the fundamental problems in computer vision. ...
research
∙
09/30/2018
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds
We aim to enable a mobile robot to navigate through environments with de...
research
∙
09/12/2018
Safe Navigation with Human Instructions in Complex Scenes
In this paper, we present a robotic navigation algorithm with natural la...
research
∙
09/08/2018
RealPoint3D: Point Cloud Generation from a Single Image with Complex Background
3D point cloud generation by the deep neural network from a single image...
research
∙
08/01/2018
A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation
Confusing classes that are ubiquitous in real world often degrade perfor...
research
∙
08/01/2018
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
Depth estimation from a single image is a fundamental problem in compute...
research
∙
07/23/2018
