Hu, Xiaolin

57 publications

ICLR 2025 ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu

ICLR 2025 ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-Tuning Pengwei Tang, Xiaolin Hu, Yong Liu

NeurIPS 2025 Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe Jia-Nuo Liew, Shenghan Lin, Bowen Chen, Wei Zhang, Xiaowei Zhu, Wei Zhang, Xiaolin Hu

ICLR 2025 Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries Hang Chen, Chufeng Tang, Xiao Li, Xiaolin Hu

CVPR 2025 GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing Tong Wang, Ting Liu, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

CVPR 2025 Improving Accuracy and Calibration via Differentiated Deep Mutual Learning Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu

CVPR 2025 MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Jun Huang, Ting Liu, Yihang Wu, Xiaochao Qu, Luoqi Liu, Xiaolin Hu

ICCV 2025 PBCAT: Patch-Based Composite Adversarial Training Against Physically Realizable Attacks on Object Detection Xiao Li, Yiming Zhu, Yifan Huang, Wei Zhang, Yingzhe He, Jie Shi, Xiaolin Hu

CVPR 2025 SAM-REF: Introducing Image-Prompt Synergy During Interaction for Detail Enhancement in the Segment Anything Model Chongkai Yu, Ting Liu, Anqi Li, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

ICLR 2025 SonicSim: A Customizable Simulation Platform for Speech Processing in Moving Sound Source Scenarios Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen, Xiaolin Hu

AAAI 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu

ICLR 2025 TIGER: Time-Frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation Mohan Xu, Kai Li, Guo Chen, Xiaolin Hu

IJCAI 2025 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu

ICLR 2025 Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu

CoRL 2024 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang

ECCV 2024 Controllable Navigation Instruction Generation with Chain of Thought Prompting Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu

NeurIPS 2024 CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, Jiangmiao Pang

NeurIPS 2024 Enhancing In-Context Learning Performance with Just SVD-Based Weight Pruning: A Theoretical Perspective Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu

NeurIPS 2024 Full-Distance Evasion of Pedestrian Detectors in the Physical World Zhi Cheng, Zhanhao Hu, Yuqiu Liu, Jianmin Li, Hang Su, Xiaolin Hu

ICML 2024 IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation Kai Li, Runxuan Yang, Fuchun Sun, Xiaolin Hu

CVPR 2024 Infrared Adversarial Car Stickers Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu, Jianmin Li, Xiaolin Hu

CVPR 2024 Language-Driven Anchors for Zero-Shot Adversarial Robustness Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu

ICLRW 2024 Neural Retrievers Are Biased Towards LLM-Generated Content Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu

ECCV 2024 PartImageNet++ Dataset: Scaling up Part-Based Models for Robust Recognition Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu

ICLR 2024 RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation Samuel Pegg, Kai Li, Xiaolin Hu

CVPR 2024 SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Si Liu, Xiaolin Hu

ICLR 2023 An Efficient Encoder-Decoder Architecture with Top-Down Attention for Speech Separation Kai Li, Runxuan Yang, Xiaolin Hu

ICLR 2023 Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses Xiaolin Hu, Shaojie Li, Yong Liu

NeurIPS 2023 HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds Gang Zhang, Chen Junnan, Guohuan Gao, Jianmin Li, Xiaolin Hu

ICML 2023 NP-SemiSeg: When Neural Processes Meet Semi-Supervised Semantic Segmentation Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz

CVPR 2023 Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu

CVPR 2023 Visual Recognition by Request Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian

ECCV 2022 Active Pointly-Supervised Instance Segmentation Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu

CVPR 2022 Adversarial Texture for Fooling Person Detectors in the Physical World Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu

CVPR 2022 Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu

ICML 2022 NP-Match: When Neural Processes Meet Semi-Supervised Learning Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou

ICCV 2021 DAM: Discrepancy Alignment Metric for Face Recognition Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang

AAAI 2021 Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu

CVPR 2021 Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

CVPR 2021 Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu

CVPR 2021 RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu

CVPR 2021 RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu

NeurIPS 2021 Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann

ECCV 2020 Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu

ECML-PKDD 2020 Companion Guided Soft Margin for Face Recognition Yingcheng Su, Yichao Wu, Zhenmao Li, Qiushan Guo, Ken Chen, Junjie Yan, Ding Liang, Xiaolin Hu

AAAI 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection Yulong Wang, Xiaolu Zhang, Xiaolin Hu, Bo Zhang, Hang Su

NeurIPS 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

NeurIPS 2020 Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

AAAI 2020 Pruning from Scratch Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu

AAAI 2019 Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu

AAAI 2018 A Cascaded Inception of Inception Network with Attention Modulated Feature Fusion for Human Pose Estimation Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu

NeurIPS 2017 Gated Recurrent Convolution Neural Network for OCR Jianfeng Wang, Xiaolin Hu

CVPR 2017 Scale-Aware Face Detection Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu

CVPR 2016 Joint Training of Cascaded CNN for Face Detection Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu

NeurIPS 2015 Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling Ming Liang, Xiaolin Hu, Bo Zhang

CVPR 2015 Recurrent Convolutional Neural Network for Object Recognition Ming Liang, Xiaolin Hu

CVPR 2014 A Reverse Hierarchy Model for Predicting Eye Fixations Tianlin Shi, Ming Liang, Xiaolin Hu