Duan, Ling-Yu

32 publications

ICCV 2025 Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection Under Test-Time Shifts Zixuan Hu, Dongxiao Li, Xinzhu Ma, Shixiang Tang, Xiaotong Li, Wenhan Yang, Ling-Yu Duan

CVPR 2025 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia, Yi Yu, Wenhan Yang, Meiwen Ding, Zhuo Chen, Ling-Yu Duan, Alex C. Kot, Xudong Jiang

NeurIPS 2024 DenseFusion-1m: Merging Vision Experts for Comprehensive Multimodal Perception Xiaotong Li, Fan Zhang, Haiwen Diao, Yueze Wang, Xinlong Wang, Ling-Yu Duan

CVPR 2024 LEAD: Exploring Logit Space Evolution for Model Selection Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan

ICCV 2023 Exploring Model Transferability Through the Lens of Potential Energy Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan

CVPR 2023 Switchable Representation Learning Framework with Self-Compatibility Shengsen Wu, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Ling-Yu Duan

CVPR 2022 Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan

ECCV 2022 Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-Training Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan

AAAI 2022 Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan

ICCV 2021 Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan

CVPR 2021 Generalizable Person Re-Identification with Relevance-Aware Mixture of Experts Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Ling-Yu Duan

ICCV 2021 IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan

CVPR 2021 Person30K: A Dual-Meta Generalization Network for Person Re-Identification Yan Bai, Jile Jiao, Wang Ce, Jun Liu, Yihang Lou, Xuetao Feng, Ling-Yu Duan

CVPR 2021 Single Image Reflection Removal with Absorption Effect Qian Zheng, Boxin Shi, Jinnan Chen, Xudong Jiang, Ling-Yu Duan, Alex C. Kot

ECCV 2020 Classes Matter: A Fine-Grained Adversarial Approach to Cross-Domain Semantic Segmentation Haoran Wang, Tong Shen, Wei Zhang, Ling-Yu Duan, Tao Mei

IJCAI 2020 Disentangled Feature Learning Network for Vehicle Re-Identification Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan

ECCV 2020 FHDe²Net: Full High Definition Demoireing Network Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan

CVPR 2020 Reflection Scene Separation from a Single Image Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot

CVPR 2020 What Does Plate Glass Reveal About Camera Calibration? Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, Alex C. Kot

ICCV 2019 Learning to Jointly Generate and Separate Reflections Daiqian Ma, Renjie Wan, Boxin Shi, Alex C. Kot, Ling-Yu Duan

ICCV 2019 Mop Moire Patterns Using MopNet Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan

ICCV 2019 SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang, Ling-Yu Duan, Alex C. Kot

ICCV 2019 Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization Jing Lu, Chaofan Xu, Wei Zhang, Ling-Yu Duan, Tao Mei

CVPR 2018 CRRN: Multi-Scale Guided Concurrent Reflection Removal Network Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot

CVPR 2018 SSNet: Scale Selection Network for Online 3D Action Prediction Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot

ICCV 2017 Benchmarking Single-Image Reflection Removal Algorithms Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot

CVPR 2017 Global Context-Aware Attention LSTM Networks for 3D Action Recognition Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot

AAAI 2016 Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes Zhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao

IJCAI 2016 To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes Zhe Wang, Ling-Yu Duan, Junsong Yuan, Tiejun Huang, Wen Gao

IJCAI 2015 Hamming Compatible Quantization for Hashing Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao

CVPR 2012 Towards Compact Topical Descriptors Rongrong Ji, Ling-Yu Duan, Jie Chen, Wen Gao

IJCAI 2011 Learning Compact Visual Descriptor for Low Bit Rate Mobile Landmark Search Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Tiejun Huang, Wen Gao