Lavin-dit: Large vision diffusion transformer

Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu. CVPR, 2025 [Project Page] [Paper] [Code]

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need

Ziming Hong, Runnan Chen, Zengmao Wang, Bo Han, Bo Du, Tongliang Liu. ICML, 2025 [Paper] [Code]

SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes

Jiaxin Huang, Ziwen Li, Hanlve Zhang, Runnan Chen, Xiao He, Yandong Guo, Wenping Wang, Tongliang Liu, Mingming Gong. arXiv, 2025 [Paper]

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies

Runnan Chen, Xiangyu Sun, Zhaoqing Wang, Youquan Liu, Jiepeng Wang, Lingdong Kong, Jiankang Deng, Mingming Gong, Liang Pan, Wenping Wang, Tongliang Liu. arXiv, 2024 [Paper]

Panoslam: Panoptic 3d scene reconstruction via gaussian slam

Runnan Chen, Zhaoqing Wang, Jiepeng Wang, Yuexin Ma, Mingming Gong, Wenping Wang, Tongliang Liu. arXiv, 2024 [Paper]

Multispace alignments towards universal lidar segmentation

Youquan Liu, Lingdong Kong, Xiaoyang Wu, Runnan Chen, Xin Li, Liang Pan, Ziwei Liu, Yuexin Ma. CVPR, 2024 [Paper] [Code]

IS-FUSION: Instance-scene Collaborative Fusion for Multimodal 3D Object Detection

Junbo Yin, Jianbing Shen, Runnan Chen, Wei Li, Ruigang Yang, Pascal Frossard, Wenguan Wang. CVPR, 2024 [Paper] [Code]

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP

Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang. CVPR, 2023 [paper] [Code]

Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation

Runnan Chen, Xinge Zhu, Nenglun Chen, Wei Li, Yuexin Ma, Ruigang Yang, Wenping Wang. ACM MM, 2023 [paper] [Code]

Robo3d: Towards robust and reliable 3d perception against corruptions

Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu. ICCV, 2023 [paper] [Code]

Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase

Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong, Yuchen Yang, Zhaoyang Xia, Yeqi Bai, Xinge Zhu, Yuexin Ma, Yikang Li, Yu Qiao, Yuenan Hou. ICCV, 2023 [paper] [Code]

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu. NeurIPS, 2023 [paper] [Code]

Towards label-free scene understanding by vision foundation models

Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, Wenping Wang. NeurIPS, 2023 [paper] [Code]

Structure-aware long short-term memory network for 3d cephalometric landmark detection

Runnan Chen, Yuexin Ma, Nenglun Chen, Lingjie Liu, Zhiming Cui, Yanhong Lin, Wenping Wang. TMI, 2022 [paper] [Code]

Pr-net: Preference reasoning for personalized video highlight detection

Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun, Wenping Wang. ICCV, 2021 [paper]

Unsupervised learning of intrinsic structural representation points

Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang. CVPR, 2020 [paper] [Code]

Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting

Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang. MICCAI, 2019 [paper] [Code]