AVVision
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
[Keynote Talk by Wei Liu] Achievements and Open Questions for Autonomous Driving
Effectiveness of Function Matching in Driving Scene Recognition
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network
RPR-Net: A Point Cloud-based Rotation-awareLarge Scale Place Recognition Network
Ego-Motion Compensation of Range-Beam-Doppler Radar Data for Object Detection
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
MCIP: Multi-Stream Network for Pedestrian Crossing Intention Prediction
Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Traffic Environment
Leveraging Geometric Structure for Label-efficient Semi-supervised Scene Segmentation
Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving
Lane Change Classification and Prediction with Action Recognition Networks
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization
An improved lightweight network based on YOLOv5s for object detection in autonomous driving
BlindSpotNet: Seeing Where We Cannot See
Panoptic Segmentation of 4D LiDAR Using Spatio-Temporal Object Proposal Generation and Aggregation
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection Using RGB Camera and LiDAR
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes
Monocular 3D Localization of Vehicles in Road Scenes
DriPE: A Dataset for Human Pose Estimation in Real-World Driving Settings
SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation
CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation
Graph Convolutional Networks for 3D Object Detection on Radar Data
CenterPoly: Real-Time Instance Segmentation Using Bounding Polygons
Few-Shot Batch Incremental Road Object Detection via Detector Fusion