Wang, Rong

24 publications

IJCAI 2025 Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang
CVPR 2025 FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images Rong Wang, Fabian Prada, Ziyan Wang, Zhongshi Jiang, Chengxiang Yin, Junxuan Li, Shunsuke Saito, Igor Santesteban, Javier Romero, Rohan Joshi, Hongdong Li, Jason Saragih, Yaser Sheikh
AAAI 2025 Language Pre-Training Guided Masking Representation Learning for Time Series Classification Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie
CVPR 2025 Mono3DVLT: Monocular-Video-Based 3D Visual Language Tracking Hongkai Wei, Yang Yang, Shijie Sun, Mingtao Feng, Xiangyu Song, Qi Lei, Hongli Hu, Rong Wang, Huansheng Song, Naveed Akhtar, Ajmal Saeed Mian
ICLR 2024 Exploring the Cloud of Feature Interaction Scores in a Rashomon Set Sichao Li, Rong Wang, Quanling Deng, Amanda S Barnard
TMLR 2024 Hyperspherical Prototype Node Clustering Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
AAAI 2024 Multi-Class Support Vector Machine with Maximizing Minimum Margin Feiping Nie, Zhezheng Hao, Rong Wang
IJCAI 2024 Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie
ECCV 2024 Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation Rong Wang, Wei Mao, Changsheng Lu, Hongdong Li
NeurIPS 2023 DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation Rong Wang, Wei Mao, Hongdong Li
AAAI 2023 Efficient Top-K Feature Selection Using Coordinate Descent Method Lei Xu, Rong Wang, Feiping Nie, Xuelong Li
WACV 2023 Interacting Hand-Object Pose Estimation via Dense Mutual Attention Rong Wang, Wei Mao, Hongdong Li
NeurIPS 2023 Joint Feature and Differentiable $ K $-NN Graph Learning Using Dirichlet Energy Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
IJCAI 2022 EMGC²F: Efficient Multi-View Graph Clustering with Comprehensive Fusion Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan
AAAI 2022 Transcribing Natural Languages for the Deaf via Neural Editing Programs Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
IJCAI 2021 Discrete Multiple Kernel K-Means Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li
IJCAI 2021 GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li
CVPR 2021 Large-Capacity Image Steganography Based on Invertible Neural Networks Shao-Ping Lu, Rong Wang, Tao Zhong, Paul L. Rosin
IJCAI 2020 Discriminative Feature Selection via a Structured Sparse Subspace Learning Module Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
NeurIPS 2020 Efficient Clustering Based on a Unified View of $k$-Means and Ratio-Cut Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
NeurIPS 2020 Learning Feature Sparse Principal Subspace Lai Tian, Feiping Nie, Rong Wang, Xuelong Li
IJCAI 2020 Semi-Supervised Clustering via Pairwise Constrained Optimal Graph Feiping Nie, Han Zhang, Rong Wang, Xuelong Li
CVPR 2007 On the Performance Prediction and Validation for Multisensor Fusion Rong Wang, Bir Bhanu
ICCV 2005 Learning Models for Predicting Recognition Performance Rong Wang, Bir Bhanu