Song, Rui

48 publications

ICCV 2025 CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving Rui Song, Chenwei Liang, Yan Xia, Walter Zimmer, Hu Cao, Holger Caesar, Andreas Festag, Alois Knoll
TMLR 2025 Doubly Robust Uncertainty Quantification for Quantile Treatment Effects in Sequential Decision Making Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song
NeurIPS 2025 IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals Markus Gross, Aya Fahmy, Danit Niwattananan, Dominik Muhle, Rui Song, Daniel Cremers, Henri Meeß
ICML 2025 Linear Contextual Bandits with Interference Yang Xu, Wenbin Lu, Rui Song
ICML 2025 Off-Policy Evaluation Under Nonignorable Missing Data Han Wang, Yang Xu, Wenbin Lu, Rui Song
CVPR 2025 SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow Qingyuan Wang, Rui Song, Jiaojiao Li, Kerui Cheng, David Ferstl, Yinlin Hu
ICCV 2025 TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, João F. Henriques, Daniel Cremers
ICML 2025 Zero-Inflated Bandits Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song
CVPR 2024 Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles Rui Song, Chenwei Liang, Hu Cao, Zhiran Yan, Walter Zimmer, Markus Gross, Andreas Festag, Alois Knoll
AAAI 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
ECCVW 2024 Generative Dataset Distillation Based on Diffusion Model Duo Su, Junjie Hou, Guang Li, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama
NeurIPS 2024 Online Posterior Sampling with a Diffusion Prior Branislav Kveton, Boris N. Oreshkin, Youngsuk Park, Aniket Deshmukh, Rui Song
AAAI 2024 TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu
CVPR 2024 TUMTraf V2X Cooperative Perception Dataset Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan, Xingcheng Zhou, Rui Song, Alois C. Knoll
ICML 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song
ICML 2023 An Instrumental Variable Approach to Confounded Off-Policy Evaluation Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
JMLR 2023 Distributed Community Detection in Large Networks Sheng Zhang, Rui Song, Wenbin Lu, Ji Zhu
CVPR 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression Rui Song, Chunyang Fu, Shan Liu, Ge Li
CVPR 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition Jian Li, Ziyao Meng, Daqian Shi, Rui Song, Xiaolei Diao, Jingwen Wang, Hao Xu
JMLR 2023 Jump Interval-Learning for Individualized Decision Making with Continuous Treatments Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
ICML 2023 Multiplier Bootstrap-Based Exploration Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
ICML 2023 On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs Richard A Watson, Hengrui Cai, Xinming An, Samuel Mclean, Rui Song
NeurIPS 2023 On Learning Necessary and Sufficient Causal Graphs Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
ICCV 2023 Pseudo Flow Consistency for Self-Supervised 6d Object Pose Estimation Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu
CVPR 2023 Rigidity-Aware Detection for 6d Object Pose Estimation Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu
CVPR 2023 Shape-Constraint Recurrent Flow for 6d Object Pose Estimation Yang Hai, Rui Song, Jiaojiao Li, Yinlin Hu
AISTATS 2023 Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework Runzhe Wan, Lin Ge, Rui Song
CVPR 2023 V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, Hongkai Yu, Bolei Zhou, Jiaqi Ma
CVPRW 2022 DRCR Net: Dense Residual Channel Re-Calibration Network with Non-Local Purification for Spectral Super Resolution Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Yunsong Li
IJCAI 2022 Federated Multi-Task Attention for Cross-Individual Human Activity Recognition Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu
CVPRW 2022 NTIRE 2022 Spectral Recovery Challenge and Data Set Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi
AAAI 2022 OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu
ICML 2022 Safe Exploration for Efficient Policy Evaluation and Comparison Runzhe Wan, Branislav Kveton, Rui Song
ICLR 2021 ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning Hengrui Cai, Rui Song, Wenbin Lu
JMLR 2021 An Online Sequential Test for Qualitative Treatment Effects Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
NeurIPS 2021 Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
ICML 2021 Deeply-Debiased Off-Policy Interval Estimation Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song
NeurIPS 2021 Metadata-Based Multi-Task Bandits with Bayesian Hierarchical Models Runzhe Wan, Lin Ge, Rui Song
AAAI 2020 A New Framework for Online Testing of Heterogeneous Treatment Effect Miao Yu, Wenbin Lu, Rui Song
CVPRW 2020 Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu
JMLR 2020 Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome Under Optimal Treatment Regimes Chengchun Shi, Wenbin Lu, Rui Song
ICML 2020 Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health Liangyu Zhu, Wenbin Lu, Rui Song
ICML 2020 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
CVPRW 2020 NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan Sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi
ICML 2020 On Validation and Planning of an Optimal Decision Rule with Application in Healthcare Studies Hengrui Cai, Wenbin Lu, Rui Song
JMLR 2019 Determining the Number of Latent Factors in Statistical Multi-Relational Learning Chengchun Shi, Wenbin Lu, Rui Song
CVPR 2017 Robust Interpolation of Correspondences for Large Displacement Optical Flow Yinlin Hu, Yunsong Li, Rui Song
CVPR 2016 Efficient Coarse-to-Fine PatchMatch for Large Displacement Optical Flow Yinlin Hu, Rui Song, Yunsong Li