Publications

• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking
  Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu
  Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023)

ed

• Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
  Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu
  International Conference on Computer Vision (ICCV 2023)  P

• Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
  Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada
  International Conference on Computer Vision (ICCV 2023) Oral, Corresponding Author

• Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing
  Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, yuji Hamamoto
  Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023) OralPeer-r

eviewed

• Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma
  Yunling Li, Shangxuan Li, Hanqiu Ju, Tatsuya Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu, Wu Zhou
  Pattern Recognition er-reviewed

• Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
  Xinyue Hu, Lin Gu, Qiyuan An, Zhang Mengliang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald, M. Summers, Yingying Zhu
  SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

• 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation 

Zhennan Wu, Yang Li, Yifei Huang, Lin Gu, Tatsuya Harada, Hiroyuki Sato
International Conference on Learning Representations, May, 2023 Corresponding Author

• BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
  Linus Manubens-Gil, et al.
  Nature Methodsvited

• Differences in olfactory dysfunction and its relationship with cognitive function in schizophrenia patients with and without auditory verbal hallucinations
  Qianjin Wang, Honghong Ren, Zongchang Li, Jinguang Li, Lulin Dai, Min Dong, Jun Zhou, Jingqi He, Xiaogang Chen, Lin Gu, Ying He, Jinsong Tang
  European Archives of Psychiatry and Clinical Neuroscience, 

• The COVID-19 pandemic in various restriction policy scenarios based on the dynamic social contact rate
  Hui Hu, Shuaizhou Xiong, Xiaoling Zhang, Shuzhou Liu, Lin Gu, Yuqi Zhu, Dongjin Xiang, Martin Skitmore
  Heliyon, Corresponding Author

• People taking photos that faces never share: Privacy Protection and Fairness Enhancement from Camera to User
  Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu
  AAAI Conference on Artificial Intelligence (AAAI 2023)Peer-reviewed

• Sketch-based Medical Image Retrieval.
  Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
  CoRR, abs/2303.03633, 2023

• Improving Fairness in Image Classification via Sketching
  Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu
  NeurIPS 2022, Workshop on Trustworthy and Socially Responsible Machine Learning, Nov, 2022  Peauthor

• You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction
  Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, ZhengKai Jiang, Yu Qiao, Tatsuya Harada
  The British Machine Vision Conference, Nov, 2022 (BMVC 2022)  Corresponding Author

• Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification
  Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Hancock Edwin
  European Conference on Computer Vision (ECCV 2022)Peer-reviewed

• Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
  Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada
  European Conference on Computer Vision (ECCV 2022)rCorresponding Author

• Information bottleneck and selective noise supervision for zero-shot learning
  Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin Hancock
  Machine Learning, Sep 1, 2022  

• Surgical Skill Assessment via Video Semantic Aggregation
  Zhenqiang Li, Lin Gu, Weimin Wang, Ryosuke Nakamura, Yoichi Sato
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Memory-Efficient Deformable Convolution based Joint Denoising and Demosaicing for UHD Images
  Juntao Guan, Rui Lai, Yang Lu, Yangang Li, Huanan Li, Lichen Feng, Yintang Yang, Lin Gu
  IEEE Transactions on Circuits and Systems for Video Technology

• A geometry-constrained deformable attention network for aortic segmentation  
  Weiyuan Lin, Hui Liu, Lin Gu, Zhifan Gao
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)  Pee

• Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective 

Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock

Conference on Computer Vision and Pattern Recognition (CVPR) 2022, Jun, 2022

• Deficits in Sense of Body Ownership, Sensory Processing, and Temporal Perception in Schizophrenia Patients With/Without Auditory Verbal Hallucinations 

Jingqi He, Honghong Ren, Jinguang Li, Min Dong, Lulin Dai, Zhijun Li, Yating Miao, Yunjin Li, Peixuan Tan, Lin Gu, Xiaogang Chen, Jinsong Tang

 Frontiers in Neuroscience, 16, Apr 14, 2022

• DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping 

Juntao Guan, Rui Lai, Huanan Li, Yintang Yang, Lin Gu

IEEE Transactions on Neural Networks and Learning Systems, 1-14, Feb, 2022

• EtinyNet: Extremely Tiny Network for TinyML 

Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu

AAAI Conference on Artificial Intelligence (AAAI), Feb, 2022  Corresponding Author

• Towards an Effective Orthogonal Dictionary Convolution Strategy 

Yishi Li, Kunran Xu, Rui Lai, Lin Gu

AAAI Conference on Artificial Intelligence (AAAI), Feb, 2022 Corresponding Author

• The etiology of auditory hallucinations in schizophrenia: from multidimensional levels 

Xu Shao, Yanhui Liao, Lin Gu, Wei Chen, Jinsong Tang

Frontiers in Neuroscience, section Brain Imaging Methods, Dec, 2021

• Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data 

Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato

The British Machine Vision Conference (BMVC), Dec, 2021    Corresponding Author

• Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection 

Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada    

International Conference on Computer Vision (ICCV 2021), Nov, 2021    Corresponding Author

• Goal-oriented gaze estimation for zero-shot learning 

Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada

Conference on Computer Vision and Pattern Recognition (CVPR 2021), abs/2103.03433, Jun, 2021 

• Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization 

Kunran Xu, Rui Lai, Lin Gu, Yishi Li

IEEE Transactions on Neural Networks and Learning Systems, 1-13, 2021

• Explainable Diabetic Retinopathy Detection and Retinal Image Generation 

Yuhao Niu, Lin Gu, Yitian Zhao, Feng Lu

IEEE Journal of Biomedical and Health Informatics, 1-1, 2021

• Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss 

Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Ning Xin, Lin Gu, Jun Zhou

IEEE Transactions on Multimedia, 1-1, 2020

• Feature Normalized Knowledge Distillation for Image Classification 

Kunran Xu, Lai Rui, Yishi Li, Lin Gu

European Conference on Computer Vision (ECCV 2020), Aug, 2020

• Understanding adversarial attacks on deep learning based medical image analysis systems 

Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu

Pattern Recognition, May, 2020