Xiaolin Hu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 101

Top Venues

CoRR

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Trans. Image Process.

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu
Hiding from thermal imaging pedestrian detectors in the physical world. Neurocomputing 564 (2024)
Samuel Pegg, Kai Li, Xiaolin Hu
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion. CoRR (2024)
Kai Li, Runxuan Yang, Xiaolin Hu
SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation. CoRR (2023)
Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu
Extracting Semantic Knowledge From GANs With Unsupervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu, Zheyao Wang
Hiding from infrared detectors in real world with adversarial clothes. Appl. Intell. 53 (23) (2023)
Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. CoRR (2023)
Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CVPR (2023)
Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. CoRR (2023)
Samuel Pegg, Kai Li, Xiaolin Hu
RTFS-Net: Recurrent time-frequency modelling for efficient audio-visual speech separation. CoRR (2023)
Runxuan Yang, Yuyang Peng, Xiaolin Hu
A Fast High-Fidelity Source-Filter Vocoder With Lightweight Neural Modules. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Gang Zhang, Ziyi Li, Jianmin Li, Xiaolin Hu
CFNet: Cascade Fusion Network for Dense Prediction. CoRR (2023)
Aminul Huq, Weiyi Zhang, Xiaolin Hu
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems. CoRR (2023)
Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian
Visual Recognition by Request. CVPR (2023)
Kai Li, Runxuan Yang, Xiaolin Hu
An efficient encoder-decoder architecture with top-down attention for speech separation. ICLR (2023)
Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. ICML (2023)
Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Xiaolin Hu
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds. NeurIPS (2023)
Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Xiaolin Hu
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds. CoRR (2023)
Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. CoRR (2023)
Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. CoRR (2023)
Xiao Li, Hang Chen, Xiaolin Hu
On the Importance of Backbone to the Adversarial Robustness of Object Detectors. CoRR (2023)
Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu
Anchor-Based Adversarially Robust Zero-Shot Learning Driven by Language. CoRR (2023)
Jiawei Shan, Gang Zhang, Chufeng Tang, Hujie Pan, Qiankun Yu, Guanhao Wu, Xiaolin Hu
Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CoRR (2023)
Xiaolin Hu, Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang
Improving Image Segmentation with Boundary Patch Refinement. Int. J. Comput. Vis. 130 (11) (2022)
Xiaolin Hu, Zhigang Zeng
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding. Neural Comput. 34 (1) (2022)
Ting-Yu Kuo, Yuanda Liao, Kai Li, Bo Hong, Xiaolin Hu
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks. Neural Comput. 34 (11) (2022)
Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models. CoRR (2022)
Kai Li, Xiaolin Hu, Yi Luo
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems. INTERSPEECH (2022)
Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. CoRR (2022)
Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu
Active Pointly-Supervised Instance Segmentation. ECCV (28) (2022)
Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu
Extracting Semantic Knowledge from GANs with Unsupervised Learning. CoRR (2022)
Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Xiaolin Hu, Fuchun Sun, Bo Zhang
Adversarial Texture for Fooling Person Detectors in the Physical World. CoRR (2022)
Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou
NP-Match: When Neural Processes meet Semi-Supervised Learning. ICML (2022)
Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. Neurocomputing 505 (2022)
Zhanhao Hu, Tao Wang, Xiaolin Hu
An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks. CoRR (2022)
Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu
Active Pointly-Supervised Instance Segmentation. CoRR (2022)
Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou
NP-Match: When Neural Processes meet Semi-Supervised Learning. CoRR (2022)
Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu
On the Privacy Effect of Data Enhancement via the Lens of Memorization. CoRR (2022)
Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu
The MSR-Video to Text dataset with clean annotations. Comput. Vis. Image Underst. 225 (2022)
Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian
Visual Recognition by Request. CoRR (2022)
Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. CoRR (2022)
Kai Li, Runxuan Yang, Xiaolin Hu
An efficient encoder-decoder architecture with top-down attention for speech separation. CoRR (2022)
Kai Li, Fenghua Xie, Hang Chen, Kexin Yuan, Xiaolin Hu
An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. CoRR (2022)
Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Hang Chen, Chufeng Tang, Xiaolin Hu
Dense Contrastive Loss for Instance Segmentation. BMVC (2022)
Kai Li, Xiaolin Hu, Yi Luo
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems. CoRR (2022)
Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu
Adversarial Texture for Fooling Person Detectors in the Physical World. CVPR (2022)
Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. CVPR (2022)
Jianfeng Wang, Xiaolin Hu
Convolutional Neural Networks With Gated Recurrent Connections. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Han Liu, Shifeng Zhang, Ke Lin, Jing Wen, Jianmin Li, Xiaolin Hu
Vocabulary-Wide Credit Assignment for Training Image Captioning Models. IEEE Trans. Image Process. 30 (2021)
Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. NeurIPS (2021)
Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CVPR (2021)
Renxiang Chen, Dongyin Cai, Xiaolin Hu, Zan Zhan, Shuai Wang
Defect Detection Method of Aluminum Profile Surface Using Deep Self-Attention Mechanism Under Hybrid Noise Conditions. IEEE Trans. Instrum. Meas. 70 (2021)
Xiang Li, Jun Li, Xiaolin Hu, Jian Yang
Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit. IEEE Trans. Intell. Transp. Syst. 21 (1) (2020)
Haoran Chen, Ke Lin, Alexander Maye, Jianmin Li, Xiaolin Hu
A Semantics-Assisted Video Captioning Model Trained With Scheduled Sampling. Frontiers Robotics AI 7 (2020)
Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
Pruning from Scratch. AAAI (2020)
Jian Wu, Xiaoguang Liu, Xiaolin Hu, Jun Zhu
PopMNet: Generating structured pop music melodies using neural networks. Artif. Intell. 286 (2020)
Haoran Chen, Jianmin Li, Xiaolin Hu
Delving Deeper into the Decoder for Video Captioning. ECAI (2020)
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. CoRR (2020)
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. NeurIPS (2020)
Haoran Chen, Jianmin Li, Xiaolin Hu
Delving Deeper into the Decoder for Video Captioning. CoRR (2020)
Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CoRR (2020)
Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. IEEE Trans. Cybern. 50 (6) (2020)
Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
Interpret Neural Networks by Extracting Critical Subnetworks. IEEE Trans. Image Process. 29 (2020)
Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
Learning Reliable Visual Saliency For Model Explanations. IEEE Trans. Multim. 22 (7) (2020)
Niange Yu, Cornelius Weber, Xiaolin Hu
Learning Sparse Hidden States in Long Short-Term Memory. ICANN (2) (2019)
Niange Yu, Xiaolin Hu, Binheng Song, Jian Yang, Jianwei Zhang
Topic-Oriented Image Captioning Based on Order-Embedding. IEEE Trans. Image Process. 28 (6) (2019)
Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. CVPR (2019)
Yulong Wang, Xiaolin Hu, Hang Su
Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork. CoRR (2019)
Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
Pruning from Scratch. CoRR (2019)
Xiang Li, Xiaolin Hu, Jian Yang
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks. CoRR (2019)
Qingtian Zhang, Xiaolin Hu, Bo Hong, Bo Zhang
A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. PLoS Comput. Biol. 15 (2) (2019)
Haoran Chen, Ke Lin, Alexander Maye, Jianming Li, Xiaolin Hu
A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling. CoRR (2019)
Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song
Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks. IEEE Trans. Cybern. 49 (2) (2019)
Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
Selective Kernel Networks. CoRR (2019)
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. IEEE Trans. Neural Networks Learn. Syst. 30 (11) (2019)
Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
Selective Kernel Networks. CVPR (2019)
Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision. 3DV (2018)
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR (2018)
Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift. CoRR (2018)
Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
Interpret Neural Networks by Identifying Critical Data Routing Paths. CVPR (2018)
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li
Boosting Adversarial Attacks With Momentum. CVPR (2018)
Yisu Zhou, Xiaolin Hu, Bo Zhang
Interlinked Convolutional Neural Networks for Face Parsing. CoRR (2018)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
Adversarial Attacks and Defences Competition. CoRR (2018)
Niange Yu, Shi Qiu, Xiaolin Hu, Jianmin Li
Accelerating convolutional neural networks by group-wise 2D-filter pruning. IJCNN (2017)
Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. CoRR (2017)
Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song
Estimation of the volume of the left ventricle from MRI images using deep neural networks. CoRR (2017)
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. CoRR (2017)
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR (2017)
Jian Wu, Liwei Ma, Xiaolin Hu
Delving deeper into convolutional neural networks for camera relocalization. ICRA (2017)
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu
Discovering Adversarial Examples with Momentum. CoRR (2017)
Ke Bai, Fangzhou Liao, Xiaolin Hu
Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli. ISNN (1) (2017)
Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu
Convolution Neural Networks With Two Pathways for Image Style Recognition. IEEE Trans. Image Process. 26 (9) (2017)
Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille
UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. CoRR (2016)
Shuai Wang, Yang Yang, Xiaolin Hu, Jianmin Li, Bingji Xu
Solving the K-shortest paths problem in timetable-based public transportation systems. J. Intell. Transp. Syst. 20 (5) (2016)
Qingtian Zhang, Xiaolin Hu, Bo Zhang
-Norm SVR and Sparse Coding Algorithms for Linear Regression. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Xiang Li, Suchi Qian, Furong Peng, Jian Yang, Xiaolin Hu, Rui Xia
Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm. ICDM Workshops (2015)
Ming Liang, Xiaolin Hu, Bo Zhang
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling. NIPS (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaolin Hu