Lingdong Kong
29 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Cross-Pollinator (3) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(44)
π
Grand Slam
π€
Dynamic Duo
(10)
π¬
Deep Specialist
(14)
π
Century Club
(27)
ποΈ
Keyword Collector
(105)
β
The Questioner
(3)
β‘
Prolific Year
(9)
Conferences
CVPR (9)
ICCV (7)
NIPS (6)
AAAI (2)
ECCV (2)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
autonomous driving
(9)
semantic segmentation
(7)
point cloud
(6)
domain adaptation
(5)
3d object detection
(3)
point cloud segmentation
(3)
contrastive learning
(3)
3d vision
(3)
lidar segmentation
(3)
3d scene understanding
(3)
transfer learning
(2)
zero-shot learning
(2)
representation learning
(2)
diffusion model
(2)
multi-modal learning
(2)
visual grounding
(2)
depth estimation
(2)
knowledge distillation
(2)
benchmark evaluation
(2)
multimodal learning
(2)
Papers
La La LiDAR: Large-Scale Layout Generation from LiDAR Data
AAAI 2026
LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
AAAI 2026
EventFly: Event Camera Perception from Ground to the Sky
CVPR 2025
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
CVPR 2025
GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency
CVPR 2025
SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding
CVPR 2025
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
CVPR 2025
Monocular Semantic Scene Completion via Masked Recurrent Networks
ICCV 2025
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
ICCV 2025
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data and Metric Perspectives
ICCV 2025
Perspective-Invariant 3D Object Detection
ICCV 2025
DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes
ICLR 2025
SafeMap: Robust HD Map Construction from Incomplete Observations
ICML 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
WACV 2025
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
CVPR 2024
Multi-Space Alignments Towards Universal LiDAR Segmentation
CVPR 2024
Is Your HD Map Constructor Reliable under Sensor Corruptions?
NIPS 2024
Is Your LiDAR Placement Optimized for 3D Scene Understanding?
NIPS 2024
4D Contrastive Superflows are Dense 3D Representation Learners
ECCV 2024
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
ECCV 2024
Rethinking Range View Representation for LiDAR Segmentation
ICCV 2023
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
NIPS 2023
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
NIPS 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
NIPS 2023
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
ICCV 2023
Towards Label-free Scene Understanding by Vision Foundation Models
NIPS 2023
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP
CVPR 2023
LaserMix for Semi-Supervised LiDAR Semantic Segmentation
CVPR 2023
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
ICCV 2023