Lingdong Kong

14

Papers

90

Total Citations

Papers (14)

Multi-Space Alignments Towards Universal LiDAR Segmentation

Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Perspective-Invariant 3D Object Detection

GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations

Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding

PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning

Monocular Semantic Scene Completion via Masked Recurrent Networks

VideoLucy: Deep Memory Backtracking for Long Video Understanding

NeurIPS 2025arXiv

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data and Metric Perspectives

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes

EventFly: Event Camera Perception from Ground to the Sky

OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies