Luo, Bin

28 publications

AAAI 2025 Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network Kunpeng Wang, Keke Chen, Chenglong Li, Zhengzheng Tu, Bin Luo

ICLR 2025 MetaDesigner: Advancing Artistic Typography Through AI-Driven, User-Centric, and Multilingual WordArt Synthesis Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Qi He, Wangmeng Xiang, Hanyuan Chen, Jin-Peng Lan, Xianhui Lin, Kang Zhu, Bin Luo, Yifeng Geng, Xuansong Xie, Alexander G Hauptmann

ICML 2025 Quantum Algorithms for Finite-Horizon Markov Decision Processes Bin Luo, Yuwen Huang, Jonathan Allcock, Xiaojun Lin, Shengyu Zhang, John C.S. Lui

AAAI 2025 RGBT Tracking via All-Layer Multimodal Interactions with Progressive Fusion Mamba Andong Lu, Wanyu Wang, Chenglong Li, Jin Tang, Bin Luo

TMLR 2025 Sparse-Input Neural Network Using Group Concave Regularization Bin Luo, Susan Halabi

CVPR 2024 Building Bridges Across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model Runmin Dong, Shuai Yuan, Bin Luo, Mengxuan Chen, Jinxiao Zhang, Lixian Zhang, Weijia Li, Juepeng Zheng, Haohuan Fu

CVPR 2024 Multi-Modal Instruction Tuned LLMs with Fine-Grained Visual Perception Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Jun-Yan He, Jin-Peng Lan, Bin Luo, Xuansong Xie

ACML 2023 A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification Qingya Wang, Feng Liu, Bin Luo

IJCAI 2023 DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie

IJCAI 2023 HDFormer: High-Order Directed Transformer for 3D Human Pose Estimation Han-Yuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie

ICCVW 2023 The First Visual Object Tracking Segmentation VOTS2023 Challenge Results Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

ICCV 2023 Towards Deeply Unified Depth-Aware Panoptic Segmentation with Bi-Directional Guidance Learning Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Yifeng Geng, Xuansong Xie

CVPR 2023 Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection Hui Lv, Zhongqi Yue, Qianru Sun, Bin Luo, Zhen Cui, Hanwang Zhang

IJCAI 2022 Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng

AAAI 2020 Multi-Spectral Vehicle Re-Identification: A Challenge Hongchao Li, Chenglong Li, Xianpeng Zhu, Aihua Zheng, Bin Luo

WACV 2020 Overlap Sampler for Region-Based Object Detection Joya Chen, Bin Luo, Qi Wu, Jia Chen, Xuezheng Peng

ACML 2019 Improving Statute Prediction via Mining Correlations Between Statutes Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo

CVPR 2017 Binary Constraint Preserving Graph Matching Bo Jiang, Jin Tang, Chris Ding, Bin Luo

NeurIPS 2017 Graph Matching via Multiplicative Update Algorithm Bo Jiang, Jin Tang, Chris Ding, Yihong Gong, Bin Luo

AAAI 2017 Nonnegative Orthogonal Graph Matching Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

IJCAI 2016 Robust Out-of-Sample Data Recovery Bo Jiang, Chris H. Q. Ding, Bin Luo

AAAI 2015 A Local Sparse Model for Matching Problem Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

ECML-PKDD 2014 Covariate-Correlated Lasso for Feature Selection Bo Jiang, Chris H. Q. Ding, Bin Luo

AAAI 2014 Robust Non-Negative Dictionary Learning Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo

AAAI 2013 Uncorrelated Lasso Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie

AAAI 2012 Matching State-Based Sequences with Rich Temporal Aspects Aihua Zheng, Jixin Ma, Jin Tang, Bin Luo

IJCAI 2011 Angular Decomposition Dengdi Sun, Chris H. Q. Ding, Bin Luo, Jin Tang

CVPR 2001 A Probabilistic Framework for Graph Clustering Bin Luo, Antonio Robles-Kelly, Andrea Torsello, Richard C. Wilson, Edwin R. Hancock