Shaoshuai Shi

27

Papers

20

Total Citations

Papers (27)

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation

M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving

Open-Vocabulary 3D Semantic Segmentation with Foundation Models

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection

Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection

DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets

Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding

Virtual Sparse Convolution for Multimodal 3D Object Detection

Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-Based 3D Detector

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation

MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection

RBGNet: Ray-Based Grouping for 3D Object Detection

Edit360: 2D Image Edits to 3D Assets from Any Angle

DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving

Motion Transformer with Global Intention Localization and Local Movement Refinement

Towards Efficient 3D Object Detection with Knowledge Distillation

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds