Runnan Chen
21 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (44) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver
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Topic Evolution
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Keyword Pioneer
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Prolific Year · Productive
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Research topics
Computer Vision
(14)
Machine Learning
(11)
Analysis
(10)
Deep Learning
(8)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(6)
Domain-Specific
(6)
Learning Types · Deep Learning
(6)
Processing
(4)
Application Areas
(3)
Architectures
(2)
Core Methods
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Keywords
semantic segmentation
(5)
point cloud
(5)
multimodal learning
(4)
knowledge distillation
(4)
lidar segmentation
(4)
domain adaptation
(3)
autonomous driving
(3)
representation learning
(2)
unsupervised learning
(2)
transfer learning
(2)
multi-task learning
(2)
point cloud segmentation
(2)
contrastive learning
(2)
3d object detection
(2)
zero-shot learning
(2)
vision foundation model
(2)
in-context learning
(1)
shape correspondence
(1)
3d scene understanding
(1)
computer vision
(1)
Papers
La La LiDAR: Large-Scale Layout Generation from LiDAR Data
AAAI 2026
Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors
MICCAI 2025
LaVin-DiT: Large Vision Diffusion Transformer
CVPR 2025
When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
ICML 2025
CORES: Convolutional Response-based Score for Out-of-distribution Detection
CVPR 2024
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
CVPR 2024
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection
CVPR 2024
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
ECCV 2024
Multi-Space Alignments Towards Universal LiDAR Segmentation
CVPR 2024
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP
CVPR 2023
Human-centric Scene Understanding for 3D Large-scale Scenarios
ICCV 2023
Rethinking Range View Representation for LiDAR Segmentation
ICCV 2023
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
ICCV 2023
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
ICCV 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
NeurIPS 2023
Towards Label-free Scene Understanding by Vision Foundation Models
NeurIPS 2023
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
ICCV 2023
Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment
IJCAI 2021
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
ICCV 2021
TANet: Towards Fully Automatic Tooth Arrangement
ECCV 2020
Unsupervised Learning of Intrinsic Structural Representation Points
CVPR 2020