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Lingdong Kong

29 papers · 2023–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🐝 Cross-Pollinator (3) 🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5)
🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (44) πŸ† Grand Slam 🀝 Dynamic Duo (10) πŸ”¬ Deep Specialist (14) πŸ’Ž Century Club (27) πŸ—ƒοΈ Keyword Collector (105) ❓ The Questioner (3) ⚑ Prolific Year (9)

Conferences

CVPR (9) ICCV (7) NIPS (6) AAAI (2) ECCV (2) ICLR (1) ICML (1) WACV (1)

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