Specularity Removal from Imaging Spectroscopy Data via Entropy Minimisation. - Lin Gu 003; Antonio Robles-Kelly (DICTA, 2011)

Material-specific user colour profiles from imaging spectroscopy data. - Lin Gu 003; Cong Phuoc Huynh; Antonio Robles-Kelly; Jun Zhou 001 (ICCV, 2011)

Shadow detection via Rayleigh scattering and Mie theory. - Lin Gu 003; Antonio Robles-Kelly (ICPR, 2012)

Reconstructing Polarisation Components from Unpolarised Images. - Lin Gu 003; Cong Phuoc Huynh; Antonio Robles-Kelly (DICTA, 2013)

Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy. - Lin Gu 003; Antonio Robles-Kelly; Jun Zhou 001 (IEEE Trans. Image Process., 2013)

Shadow modelling based upon Rayleigh scattering and Mie theory. - Lin Gu 003; Antonio Robles-Kelly (Pattern Recognit. Lett., 2014)

Segmentation and Estimation of Spatially Varying Illumination. - Lin Gu 003; Cong Phuoc Huynh; Antonio Robles-Kelly (IEEE Trans. Image Process., 2014)

Learning to Boost Filamentary Structure Segmentation. - Lin Gu 003; Li Cheng 002 (ICCV, 2015)

Outdoor Shadow modelling and its Applications. - Lin Gu 003; Antonio Robles-Kelly (Handbook of Pattern Recognition and Computer Vision, 2016)

A quadratic optimisation approach for shading and specularity recovery from a single image. - Lin Gu 003; Antonio Robles-Kelly (ICIP, 2016)

Classification from a Riemannian graph embedding viewpoint. - Antonio Robles-Kelly; Lin Gu 003; Ran Wei (IJCNN, 2016)

From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping. - Yan Jia 005; Yinqiang Zheng; Lin Gu 003; Art Subpa-Asa; Antony Lam; Yoichi Sato 001; Imari Sato (ICCV, 2017)

Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. - Qiuyu Chen; Ryoma Bise; Lin Gu 003; Yinqiang Zheng; Imari Sato; Jenq-Neng Hwang; Sadakazu Aiso; Nobuaki Imanishi (ICCV Workshops, 2017)

Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels). - Lin Gu 003; Yinqiang Zheng; Ryoma Bise; Imari Sato; Nobuaki Imanishi; Sadakazu Aiso (MICCAI (1), 2017)

Segment 2D and 3D Filaments by Learning Structured and Contextual Features. - Lin Gu 003; Xiaowei Zhang 002; He Zhao 002; Huiqi Li; Li Cheng 001 (IEEE Trans. Medical Imaging, 2017)

A Data-Driven Approach for Direct and Global Component Separation from a Single Image. - Shijie Nie; Lin Gu 003; Art Subpa-Asa; Ilyes Kacher; Ko Nishino; Imari Sato (ACCV (6), 2018)

Deeply Learned Filter Response Functions for Hyperspectral Reconstruction. - Shijie Nie; Lin Gu 003; Yinqiang Zheng; Antony Lam; Nobutaka Ono; Imari Sato (CVPR, 2018)

Pathological Evidence Exploration in Deep Retinal Image Diagnosis. - Yuhao Niu; Lin Gu 003; Feng Lu 005; Feifan Lv; Zongji Wang; Imari Sato; Zijian Zhang 004; Yangyan Xiao; Xunzhang Dai; Tingting Cheng (AAAI, 2019)

Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain. - Xin Yan; Lin Li 065; Chulin Xie; Jun Xiao 001; Lin Gu 003 (CLEF (Working Notes), 2019)

Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR. - Wanwei Jian; Hanqiu Ju; Xiaoping Cen; Manman Cui; Honglai Zhang; Lijuan Zhang; Guangyi Wang; Lin Gu 003; Wu Zhou 002 (EMBC, 2019)

Single-Image Facial Expression Recognition Using Deep 3D Re-Centralization. - Zhipeng Bao; Shaodi You; Lin Gu 003; Zhenglu Yang (ICCV Workshops, 2019)

ShelfNet for Fast Semantic Segmentation. - Juntang Zhuang; Junlin Yang; Lin Gu 003; Nicha C. Dvornek (ICCV Workshops, 2019)

Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma. - Hanqiu Ju; Guangyi Wang; Shaoyang Men; Honglai Zhang; Lin Gu 003; Wu Zhou 002 (ICIP, 2019)

Unsupervised Ensemble Strategy for Retinal Vessel Segmentation. - Bo Liu 005; Lin Gu 003; Feng Lu 005 (MICCAI (1), 2019)

Hyperspectral Anomaly Detection with Harmonic Analysis and Low-Rank Decomposition. - Pei Xiang; Jiangluqi Song; Huan Li; Lin Gu 003; Huixin Zhou (Remote. Sens., 2019)

bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion. - Bumjun Jung; Lin Gu 003; Tatsuya Harada (CLEF (Working Notes), 2020)

Feature Normalized Knowledge Distillation for Image Classification. - Kunran Xu; Lai Rui; Yishi Li; Lin Gu 003 (ECCV (25), 2020)

Motion Feedback Design for Video Frame Interpolation. - Mengshun Hu; Liang Liao; Jing Xiao 004; Lin Gu 003; Shin'ichi Satoh 001 (ICASSP, 2020)

Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. - Cheng Yan; Guansong Pang; Xiao Bai 001; Jun Zhou 001; Lin Gu 003 (CoRR, 2020)

Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest. - Lin Gu 003; Xiaowei Zhang 002; Shaodi You; Shen Zhao; Zhenzhong Liu; Tatsuya Harada (Frontiers Neuroinformatics, 2020)

Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI. - Chenyi Zeng; Lin Gu 003; Zhenzhong Liu; Shen Zhao (Frontiers Neuroinformatics, 2020)

Fixed pattern noise reduction for infrared images based on cascade residual attention CNN. - Juntao Guan; Rui Lai; Ai Xiong; Zesheng Liu; Lin Gu 003 (Neurocomputing, 2020)

Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition. - Shangzhen Song; Huixin Zhou; Lin Gu 003; Yixin Yang 002; Yiyi Yang (IEEE Geosci. Remote. Sens. Lett., 2020)

City-Scale Distance Sensing via Bispectral Light Extinction in Bad Weather. - Dong Zhao 005; Yuta Asano; Lin Gu 003; Imari Sato; Huixin Zhou (Remote. Sens., 2020)

RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-Resolution. - Juan Du 005; Huixin Zhou; Kun Qian 015; Wei Tan; Zhe Zhang; Lin Gu 003; Yue Yu (Sensors, 2020)

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. - Wenhan Yang; Ye Yuan 012; Wenqi Ren; Jiaying Liu 001; Walter J. Scheirer; Zhangyang Wang; Taiheng Zhang; Qiaoyong Zhong; Di Xie; Shiliang Pu; Yuqiang Zheng; Yanyun Qu; et al. (IEEE Trans. Image Process., 2020)

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. - Yifei Huang 002; Xiaoxiao Li; Lijin Yang; Lin Gu 003; Yingying Zhu 004; Hirofumi Seo; Qiuming Meng; Tatsuya Harada; Yoichi Sato 001 (BMVC, 2021)

Goal-Oriented Gaze Estimation for Zero-Shot Learning. - Yang Liu 357; Lei Zhou 008; Xiao Bai 001; Yifei Huang 002; Lin Gu 003; Jun Zhou 001; Tatsuya Harada (CVPR, 2021)

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. - Ziteng Cui; Guo-Jun Qi; Lin Gu 003; Shaodi You; Zenghui Zhang; Tatsuya Harada (ICCV, 2021)

Relation-Aware Reasoning with Graph Convolutional Network. - Lei Zhou 008; Yang Liu 357; Xiao Bai 001; Xiang Wang 014; Chen Wang 026; Liang Zhang; Lin Gu 003 (ICIG (1), 2021)

Understanding adversarial attacks on deep learning based medical image analysis systems. - Xingjun Ma; Yuhao Niu; Lin Gu 003; Yisen Wang 001; Yitian Zhao; James Bailey 001; Feng Lu 005 (Pattern Recognit., 2021)

Towards an Effective Orthogonal Dictionary Convolution Strategy. - Yishi Li; Kunran Xu; Rui Lai; Lin Gu 003 (AAAI, 2022)

EtinyNet: Extremely Tiny Network for TinyML. - Kunran Xu; Yishi Li; Huawei Zhang; Rui Lai; Lin Gu 003 (AAAI, 2022)

You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction. - Ziteng Cui; Kunchang Li 002; Lin Gu 003; Shenghan Su; Peng Gao 007; Zhengkai Jiang 001; Yu Qiao 001; Tatsuya Harada (BMVC, 2022)

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. - Jiawei Zhang; Xiang Wang 014; Xiao Bai 001; Chen Wang 026; Lei Huang 015; Yimin Chen; Lin Gu 003; Jun Zhou 001; Tatsuya Harada; Edwin R. Hancock (CVPR, 2022)

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. - Ziteng Cui; Yingying Zhu 004; Lin Gu 003; Guo-Jun Qi; Xiaoxiao Li; Renrui Zhang; Zenghui Zhang; Tatsuya Harada (ECCV (9), 2022)

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. - Yang Liu 357; Lei Zhou 008; Pengcheng Zhang 003; Xiao Bai 001; Lin Gu 003; Xiaohan Yu 001; Jun Zhou 001; Edwin R. Hancock (ECCV (24), 2022)

Surgical Skill Assessment via Video Semantic Aggregation. - Zhenqiang Li 002; Lin Gu 003; Weimin Wang 007; Ryosuke Nakamura; Yoichi Sato 001 (MICCAI (8), 2022)

A Geometry-Constrained Deformable Attention Network for Aortic Segmentation. - Weiyuan Lin; Hui Liu; Lin Gu 003; Zhifan Gao (MICCAI (5), 2022)

Graph interaction for automated diagnosis of thoracic disease using x-ray images. - Bumjun Jung; Lin Gu 003; Tatsuya Harada (Image Processing, 2022)

Readmission Prediction for Heart Failure Patients Using Features Extracted From SS-MIX. - Hiroaki Yamane; Yusuke Kurose; Antonio Tejero-de-Pablos; Lin Gu 003; Junichi Iho; Youji Tokunaga; Makoto Horie; Yusaku Hayashi; Keisuke Nishizawa; Yasushi Koyama; Tatsuya Harada (SCIS/ISIS, 2022)

A multilayer dynamic perturbation analysis method for predicting ligand-protein interactions. - Lin Gu 003; Bin Li; Dengming Ming (BMC Bioinform., 2022)

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. - Ziteng Cui; Yingying Zhu 004; Lin Gu 003; Guo-Jun Qi; Xiaoxiao Li; Peng Gao 007; Zenghui Zhang; Tatsuya Harada (CoRR, 2022)

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis. - Qiyuan An; Ruijiang Li; Lin Gu 003; Hao Zhang 050; Qingyu Chen 001; Zhiyong Lu; Fei Wang 001; Yingying Zhu 003 (CoRR, 2022)

Illumination Adaptive Transformer. - Ziteng Cui; Kunchang Li 002; Lin Gu 003; Shenghan Su; Peng Gao 007; Zhengkai Jiang 001; Yu Qiao 001; Tatsuya Harada (CoRR, 2022)

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. - Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Ruijiang Li; Chang Su 002; Tatsuya Harada; Yingying Zhu 003 (CoRR, 2022)

Improving Fairness in Image Classification via Sketching. - Ruichen Yao; Ziteng Cui; Xiaoxiao Li; Lin Gu 003 (CoRR, 2022)

Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer. - Shenghan Su; Lin Gu 003; Ziteng Cui; Yue Yang; Jingjing Shen; Hiroaki Yamane; Zenghui Zhang; Tatsuya Harada (CoRR, 2022)

Visual detection and tracking algorithms for minimally invasive surgical instruments: A comprehensive review of the state-of-the-art. - Yan Wang; Qiyuan Sun; Zhenzhong Liu; Lin Gu 003 (Robotics Auton. Syst., 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 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Explainable Diabetic Retinopathy Detection and Retinal Image Generation. - Yuhao Niu; Lin Gu 003; Yitian Zhao; Feng Lu 005 (IEEE J. Biomed. Health Informatics, 2022)

Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. - Cheng Yan; Guansong Pang; Xiao Bai 001; Changhong Liu; Xin Ning 001; Lin Gu 003; Jun Zhou 001 (IEEE Trans. Multim., 2022)

People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User. - Junjie Zhu; Lin Gu 003; Xiaoxiao Wu; Zheng Li; Tatsuya Harada; Yingying Zhu 004 (AAAI, 2023)

Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jun Zhou 001; Lin Gu 003 (ICCV, 2023)

Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer. - Shenghan Su; Lin Gu 003; Yue Yang; Zenghui Zhang; Tatsuya Harada (ICCV, 2023)

3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation. - Zhennan Wu; Yang Li 193; Yifei Huang 002; Lin Gu 003; Tatsuya Harada; Hiroyuki Sato (ICLR, 2023)

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. - Xinyue Hu 002; Lin Gu 003; Qiyuan An; Mengliang Zhang; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (KDD, 2023)

Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Mototaka Miyake; Yasuyuki Takamizawa; Sono Ito; Hirokazu Watanabe; Yukihiro Yoshida; Hiroki Yoshimura; Tatsuya Harada; Ryuji Hamamoto (MICCAI (2), 2023)

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. - Yutong Xie 001; Lin Gu 003; Tatsuya Harada; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (MICCAI (1), 2023)

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. - Xinyue Hu 002; Lin Gu 003; Kazuma Kobayashi; Qiyuan An; Qingyu Chen 001; Zhiyong Lu; Chang Su 002; Tatsuya Harada; Yingying Zhu 004 (CoRR, 2023)

Sketch-based Medical Image Retrieval. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Takaaki Mizuno; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Yasuyuki Takamizawa; Yukihiro Yoshida; Satoshi Nakamura; Nobuji Kouno; Amina Bolatkan; et al. (CoRR, 2023)

Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields. - Ziteng Cui; Lin Gu 003; Xiao Sun 001; Yu Qiao 001; Tatsuya Harada (CoRR, 2023)

SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations. - Zhiming Wang; Lin Gu 003; Feng Lu 001 (CoRR, 2023)

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. - Mengliang Zhang; Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (CoRR, 2023)

Information bottleneck and selective noise supervision for zero-shot learning. - Lei Zhou 008; Yang Liu 357; Pengcheng Zhang 003; Xiao Bai 001; Lin Gu 003; Jun Zhou 001; Yazhou Yao; Tatsuya Harada; Jin Zheng; Edwin R. Hancock (Mach. Learn., 2023)

DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping. - Juntao Guan; Rui Lai; Huanan Li; Yintang Yang; Lin Gu 003 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization. - Kunran Xu; Rui Lai; Lin Gu 003; Yishi Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

PATCH: A Plug-in Framework of Non-blocking Inference for Distributed Multimodal System. - Juexing Wang; Guangjing Wang 001; Xiao Zhang 037; Li Liu 048; Huacheng Zeng; Li Xiao 001; Zhichao Cao 001; Lin Gu 003; Tianxing Li 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

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 003; Wu Zhou 002 (Pattern Recognit., 2023)

InstrumentNet: An integrated model for real-time segmentation of intracranial surgical instruments. - Zhenzhong Liu; Laiwang Zheng; Lin Gu 003; Shubin Yang; Zichen Zhong; Guobin Zhang (Comput. Biol. Medicine, 2023)

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. - Ziteng Cui; Lin Gu 003; Xiao Sun 001; Xianzheng Ma; Yu Qiao 001; Tatsuya Harada (AAAI, 2024)

Discovering an Image-Adaptive Coordinate System for Photography Processing. - Ziteng Cui; Lin Gu 003; Tatsuya Harada (BMVC, 2024)

DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Xin Ning 001; Jun Zhou 001; Lin Gu 003 (CVPR, 2024)

Frequency-Adaptive Dilated Convolution for Semantic Segmentation. - Linwei Chen; Lin Gu 003; Dezhi Zheng; Ying Fu 001 (CVPR, 2024)

Robust Synthetic-to-Real Transfer for Stereo Matching. - Jiawei Zhang; Jiahe Li 007; Lei Huang 015; Xiaohan Yu 001; Lin Gu 003; Jin Zheng; Xiao Bai 001 (CVPR, 2024)

Object-Aware NIR-to-Visible Translation. - Yunyi Gao; Lin Gu 003; Qiankun Liu 001; Ying Fu 001 (ECCV (23), 2024)

TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Xin Ning 001; Jun Zhou 001; Lin Gu 003 (ECCV (10), 2024)

CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization. - Jiawei Zhang; Jiahe Li 007; Xiaohan Yu 001; Lei Huang 015; Lin Gu 003; Jin Zheng; Xiao Bai 001 (ECCV (1), 2024)

When Semantic Segmentation Meets Frequency Aliasing. - Linwei Chen; Lin Gu 003; Ying Fu 001 (ICLR, 2024)

Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought. - Kohtaro Tanaka; Kohei Uehara; Lin Gu 003; Yusuke Mukuta; Tatsuya Harada (NAACL-HLT (Findings), 2024)

TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge. - Huanan Li; Juntao Guan; Lai Rui; Sijun Ma; Lin Gu 003; Noperson (NeurIPS, 2024)

SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations. - Zhiming Wang; Lin Gu 003; Feng Lu (PRCV (2), 2024)

Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer. - Kazuma Kobayashi; Yasuyuki Takamizawa; Mototaka Miyake; Sono Ito; Lin Gu 003; Tatsuya Nakatsuka; Yu Akagi; Tatsuya Harada; Yukihide Kanemitsu; Ryuji Hamamoto (Artif. Intell. Medicine, 2024)

SIMarker: Cellular similarity detection and its application to diagnosis and prognosis of liver cancer. - Mengsha Tong; Shijie Luo; Lin Gu 003; Xinkang Wang; Zheyang Zhang; Chenyu Liang 004; Huaqiang Huang; Yuxiang Lin; Jialiang Huang (Comput. Biol. Medicine, 2024)

Frequency-Adaptive Dilated Convolution for Semantic Segmentation. - Linwei Chen; Lin Gu 003; Ying Fu 001 (CoRR, 2024)

PANet: A Physics-guided Parametric Augmentation Net for Image Dehazing by Hazing. - Chih-Ling Chang; Fu-Jen Tsai; Zi-Ling Huang; Lin Gu 003; Chia-Wen Lin (CoRR, 2024)

NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries. - Tao Wu; Chuhao Zhou; Yen Heng Wong; Lin Gu 003; Jianfei Yang (CoRR, 2024)

Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design. - Junjie Zhang; Zhimin Zong; Lin Gu 003; Shenghan Su; Ziteng Cui; Yan Pu; Zirui Chen; Jing Lu; Daisuke Kojima; Tatsuya Harada; Ruogu Fang (CoRR, 2024)

ER-NeRF++: Efficient region-aware Neural Radiance Fields for high-fidelity talking portrait synthesis. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Jun Zhou 001; Lin Gu 003 (Inf. Fusion, 2024)

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. - Xinyue Hu 002; Lin Gu 003; Kazuma Kobayashi; Liangchen Liu; Mengliang Zhang; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (Medical Image Anal., 2024)

Rethinking masked image modelling for medical image representation. - Yutong Xie 001; Lin Gu 003; Tatsuya Harada; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (Medical Image Anal., 2024)

Sketch-based semantic retrieval of medical images. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Takaaki Mizuno; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Yasuyuki Takamizawa; Yukihiro Yoshida; Satoshi Nakamura; Nobuji Kouno; Amina Bolatkan; et al. (Medical Image Anal., 2024)

Exploring the Usage of Pre-trained Features for Stereo Matching. - Jiawei Zhang; Lei Huang 015; Xiao Bai 001; Jin Zheng; Lin Gu 003; Edwin R. Hancock (Int. J. Comput. Vis., 2024)

Learning From Human Attention for Attribute-Assisted Visual Recognition. - Xiao Bai 001; Pengcheng Zhang 003; Xiaohan Yu 001; Jin Zheng; Edwin R. Hancock; Jun Zhou 001; Lin Gu 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Frequency-Aware Feature Fusion for Dense Image Prediction. - Linwei Chen; Ying Fu 001; Lin Gu 003; Chenggang Yan 001; Tatsuya Harada; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EventPillars: Pillar-based Efficient Representations for Event Data. - Rui Fan 001; Weidong Hao; Juntao Guan; Lai Rui; Lin Gu 003; Tong Wu; Fanhong Zeng; Zhangming Zhu (AAAI, 2025)

TdAttenMix: Top-Down Attention Guided Mixup. - Zhiming Wang; Lin Gu 003; Feng Lu 001 (AAAI, 2025)

InsTaG: Learning Personalized 3D Talking Head from Few-Second Video. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Jun Zhou 001; Lin Gu 003 (CVPR, 2025)

Frequency Dynamic Convolution for Dense Image Prediction. - Linwei Chen; Lin Gu 003; Liang Li 003; Chenggang Yan 001; Ying Fu 001 (CVPR, 2025)

Coronary Artery Segmentation with Partial Annotations in Coronary CT Angiography Images. - Yusuke Kurose; Haruto Chiba; Lin Gu 003; Junichi Iho; Youji Tokunaga; Makoto Horie; Keisuke Nishizawa; Yusaku Hayashi; Yasushi Koyama; Tatsuya Harada (ISBI, 2025)

Physiology-Aware PolySnake for Coronary Vessel Segmentation. - Yizhe Ruan; Lin Gu 003; Yusuke Kurose; Junichi Iho; Youji Tokunaga; Makoto Horie; Yusaku Hayashi; Keisuke Nishizawa; Yasushi Koyama; Tatsuya Harada (WACV, 2025)

Guest Editorial: Multi-view representation learning for computer vision. - Xin Ning 001; Jun Zhou 001; Jian Cheng 001; Jing Wu 004; Chen Wang 026; Lin Gu 003 (IET Comput. Vis., 2025)

Evaluating the Effectiveness of advanced large language models in medical Knowledge: A Comparative study using Japanese national medical examination. - Mingxin Liu; Tsuyoshi Okuhara; Zhehao Dai; Wenbo Huang; Lin Gu 003; Hiroko Okada; Emi Furukawa; Takahiro Kiuchi (Int. J. Medical Informatics, 2025)

Defender of privacy and fairness: Tiny but reversible generative model via mutually collaborative knowledge distillation. - Sissi Xiaoxiao Wu; Zehong Huang; Zhicong Liang; Lin Gu 003; Tatsuya Harada; Zheng Li; Yingying Zhu 004 (Neurocomputing, 2025)

Emergence of Painting Ability via Recognition-Driven Evolution. - Yi Lin; Lin Gu 003; Ziteng Cui; Shenghan Su; Yumo Hao; Yingtao Tian; Tatsuya Harada; Jianfei Yang (CoRR, 2025)

A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. - Mengliang Zhang; Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Yan Yan; Ronald M. Summers; Yingying Zhu 004 (IEEE Trans. Medical Imaging, 2025)

Spatial Frequency Modulation for Semantic Segmentation. - Linwei Chen; Ying Fu 001; Lin Gu 003; Dezhi Zheng; Jifeng Dai (CoRR, 2025)

ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients". - Zhongyi Zhou; Kohei Uehara; Haoyu Zhang; Jingtao Zhou; Lin Gu 003; Ruofei Du; Zheng Xu 002; Tatsuya Harada (CoRR, 2025)