Runnan Chen

Orcid: 0000-0002-8832-9016

According to our database1, Runnan Chen authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection.
CoRR, 2024

HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes.
CoRR, 2024

2023
SAM-guided Unsupervised Domain Adaptation for 3D Segmentation.
CoRR, 2023

Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training.
CoRR, 2023

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models.
CoRR, 2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions.
CoRR, 2023

Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization.
CoRR, 2023

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Label-free Scene Understanding by Vision Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Probabilistic Guide for Domestic Stocks Delisting Risk from the Nature of Bayesian Matrix.
Proceedings of the Modern Management Based on Big Data IV, 2023

Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Human-centric Scene Understanding for 3D Large-scale Scenarios.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Range View Representation for LiDAR Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection.
IEEE Trans. Medical Imaging, 2022

Semi-supervised anatomical landmark detection via shape-regulated self-training.
Neurocomputing, 2022

Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives.
CoRR, 2022

Towards 3D Scene Understanding by Referring Synthetic Models.
CoRR, 2022

2021
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation.
IEEE Trans. Medical Imaging, 2021

TSegNet: An efficient and accurate tooth segmentation network on 3D dental model.
Medical Image Anal., 2021

Distributed Attention for Grounded Image Captioning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

PR-Net: Preference Reasoning for Personalized Video Highlight Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
TANet: Towards Fully Automatic Tooth Arrangement.
Proceedings of the Computer Vision - ECCV 2020, 2020

Unsupervised Learning of Intrinsic Structural Representation Points.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting.
CoRR, 2019

Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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