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ORCIDLin Gu 0003
谷林
Person information
- unicode name: 谷林
- affiliation: National Institute of Informatics (NII), Tokyo, Japan
- affiliation (former): A*STAR, Singapore
- affiliation (PhD): Australian National University, Canberra, ACT, Australia
Other persons with the same name
- Lin Gu — disambiguation page
- Lin Gu 0001 — NingBo ShuFang Information Tecknology Co., Ltd., Hong Kong, SAR, China (and 2 more)
- Lin Gu 0002
![[0000-0002-6525-9334]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6525-9334")
— Huazhong University of Science and Technology, Wuhan, China (and 1 more) - Lin Gu 0005 — Ruijin Rehabilitation Hospital, Shanghai, China
- Lin Gu 0006 — Bell Labs, Alcatel-Lucent, Nozay, France
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2020 – today
- 2024
[j25]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:
Sketch-based semantic retrieval of medical images. Medical Image Anal. 92: 103060 (2024)- [c44]Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada:
Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. AAAI 2024: 1435-1444 - [i27]Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai:
Robust Synthetic-to-Real Transfer for Stereo Matching. CoRR abs/2403.07705 (2024) - 2023
- [j24]Zhenzhong Liu, Laiwang Zheng, Lin Gu, Shubin Yang, Zichen Zhong, Guobin Zhang:
InstrumentNet: An integrated model for real-time segmentation of intracranial surgical instruments. Comput. Biol. Medicine 166: 107565 (2023) - [j23]Juexing Wang, Guangjing Wang, Xiao Zhang, Li Liu, Huacheng Zeng, Li Xiao, Zhichao Cao, Lin Gu, Tianxing Li:
PATCH: A Plug-in Framework of Non-blocking Inference for Distributed Multimodal System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 130:1-130:24 (2023) - [j22]Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock:
Information bottleneck and selective noise supervision for zero-shot learning. Mach. Learn. 112(7): 2239-2261 (2023) - [j21]Yunling Li, Shangxuan Li, Hanqiu Ju, Tatsuya Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu, Wu Zhou:
Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. Pattern Recognit. 142: 109638 (2023) - [j20]Juntao Guan, Rui Lai, Huanan Li, Yintang Yang, Lin Gu:
DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3255-3268 (2023) - [j19]Kunran Xu, Rui Lai, Lin Gu, Yishi Li:
Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3488-3500 (2023) - [c43]Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu:
People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User. AAAI 2023: 14646-14654 - [c42]Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu:
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. ICCV 2023: 7534-7544 - [c41]Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada:
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer. ICCV 2023: 11987-11997 - [c40]Zhennan Wu, Yang Li, Yifei Huang, Lin Gu, Tatsuya Harada, Hiroyuki Sato:
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation. ICLR 2023 - [c39]Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD 2023: 4156-4165 - [c38]Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu:
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. MICCAI (1) 2023: 13-23 - [c37]Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto:
Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. MICCAI (2) 2023: 403-413 - [i26]Xinyue Hu, Lin Gu, Kazuma Kobayashi, Qiyuan An, Qingyu Chen, Zhiyong Lu, Chang Su, Tatsuya Harada, Yingying Zhu:
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. CoRR abs/2302.09636 (2023) - [i25]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:
Sketch-based Medical Image Retrieval. CoRR abs/2303.03633 (2023) - [i24]Ziteng Cui, Lin Gu, Xiao Sun, Yu Qiao, Tatsuya Harada:
Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields. CoRR abs/2303.05807 (2023) - [i23]Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu:
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. CoRR abs/2307.09323 (2023) - [i22]Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR abs/2307.11986 (2023) - [i21]Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR abs/2309.03331 (2023) - [i20]Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada:
Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. CoRR abs/2312.09093 (2023) - [i19]Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto:
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer. CoRR abs/2312.09529 (2023) - 2022
- [j18]Lin Gu, Bin Li, Dengming Ming:
A multilayer dynamic perturbation analysis method for predicting ligand-protein interactions. BMC Bioinform. 23(1): 456 (2022) - [j17]Yan Wang, Qiyuan Sun, Zhenzhong Liu, Lin Gu:
Visual detection and tracking algorithms for minimally invasive surgical instruments: A comprehensive review of the state-of-the-art. Robotics Auton. Syst. 149: 103945 (2022) - [j16]Juntao Guan, Rui Lai, Yang Lu, Yangang Li, Huanan Li, Lichen Feng, Yintang Yang, Lin Gu:
Memory-Efficient Deformable Convolution Based Joint Denoising and Demosaicing for UHD Images. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7346-7358 (2022) - [j15]Yuhao Niu, Lin Gu, Yitian Zhao, Feng Lu:
Explainable Diabetic Retinopathy Detection and Retinal Image Generation. IEEE J. Biomed. Health Informatics 26(1): 44-55 (2022) - [j14]Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Lin Gu, Jun Zhou:
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. IEEE Trans. Multim. 24: 1665-1677 (2022) - [c36]Yishi Li, Kunran Xu, Rui Lai, Lin Gu:
Towards an Effective Orthogonal Dictionary Convolution Strategy. AAAI 2022: 1473-1481 - [c35]Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu:
EtinyNet: Extremely Tiny Network for TinyML. AAAI 2022: 4628-4636 - [c34]Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada:
You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction. BMVC 2022: 238 - [c33]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR 2022: 12991-13001 - [c32]Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. ECCV (24) 2022: 57-73 - [c31]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. ECCV (9) 2022: 473-491 - [c30]Weiyuan Lin, Hui Liu, Lin Gu, Zhifan Gao:
A Geometry-Constrained Deformable Attention Network for Aortic Segmentation. MICCAI (5) 2022: 287-296 - [c29]Zhenqiang Li, Lin Gu, Weimin Wang, Ryosuke Nakamura, Yoichi Sato:
Surgical Skill Assessment via Video Semantic Aggregation. MICCAI (8) 2022: 410-420 - [c28]Bumjun Jung, Lin Gu, Tatsuya Harada:
Graph interaction for automated diagnosis of thoracic disease using x-ray images. Medical Imaging: Image Processing 2022 - [c27]Hiroaki Yamane, Yusuke Kurose, Antonio Tejero-de-Pablos, Lin Gu, Junichi Iho, Youji Tokunaga, Makoto Horie, Yusaku Hayashi, Keisuke Nishizawa, Yasushi Koyama, Tatsuya Harada:
Readmission Prediction for Heart Failure Patients Using Features Extracted From SS-MIX. SCIS/ISIS 2022: 1-5 - [i18]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada:
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. CoRR abs/2201.02314 (2022) - [i17]Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu:
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis. CoRR abs/2201.07317 (2022) - [i16]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR abs/2203.10887 (2022) - [i15]Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada:
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. CoRR abs/2205.03346 (2022) - [i14]Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada:
Illumination Adaptive Transformer. CoRR abs/2205.14871 (2022) - [i13]Zhenqiang Li, Lin Gu, Weimin Wang, Ryosuke Nakamura, Yoichi Sato:
Surgical Skill Assessment via Video Semantic Aggregation. CoRR abs/2208.02611 (2022) - [i12]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. CoRR abs/2208.03062 (2022) - [i11]Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu:
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. CoRR abs/2208.06554 (2022) - [i10]Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu:
Improving Fairness in Image Classification via Sketching. CoRR abs/2211.00168 (2022) - [i9]Shenghan Su, Lin Gu, Ziteng Cui, Yue Yang, Jingjing Shen, Hiroaki Yamane, Zenghui Zhang, Tatsuya Harada:
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer. CoRR abs/2212.03434 (2022) - 2021
- [j13]Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu:
Understanding adversarial attacks on deep learning based medical image analysis systems. Pattern Recognit. 110: 107332 (2021) - [c26]Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. BMVC 2021: 365 - [c25]Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada:
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CVPR 2021: 3794-3803 - [c24]Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada:
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. ICCV 2021: 2533-2542 - [c23]Lei Zhou, Yang Liu, Xiao Bai, Xiang Wang, Chen Wang, Liang Zhang, Lin Gu:
Relation-Aware Reasoning with Graph Convolutional Network. ICIG (1) 2021: 52-64 - [i8]Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada:
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CoRR abs/2103.03433 (2021) - [i7]Yuhao Niu, Lin Gu, Yitian Zhao, Feng Lu:
Explainable Diabetic Retinopathy Detection and Retinal Image Generation. CoRR abs/2107.00296 (2021) - [i6]Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. CoRR abs/2112.01034 (2021) - 2020
- [j12]Lin Gu, Xiaowei Zhang, Shaodi You, Shen Zhao, Zhenzhong Liu, Tatsuya Harada:
Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest. Frontiers Neuroinformatics 14: 601829 (2020) - [j11]Chenyi Zeng, Lin Gu, Zhenzhong Liu, Shen Zhao:
Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI. Frontiers Neuroinformatics 14: 610967 (2020) - [j10]Juntao Guan, Rui Lai, Ai Xiong, Zesheng Liu, Lin Gu:
Fixed pattern noise reduction for infrared images based on cascade residual attention CNN. Neurocomputing 377: 301-313 (2020) - [j9]Shangzhen Song, Huixin Zhou, Lin Gu, Yixin Yang, Yiyi Yang:
Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition. IEEE Geosci. Remote. Sens. Lett. 17(10): 1772-1776 (2020) - [j8]Dong Zhao, Yuta Asano, Lin Gu, Imari Sato, Huixin Zhou:
City-Scale Distance Sensing via Bispectral Light Extinction in Bad Weather. Remote. Sens. 12(9): 1401 (2020) - [j7]Juan Du, Huixin Zhou, Kun Qian, Wei Tan, Zhe Zhang, Lin Gu, Yue Yu:
RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-Resolution. Sensors 20(1): 281 (2020) - [j6]Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin:
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29: 5737-5752 (2020) - [c22]Bumjun Jung, Lin Gu, Tatsuya Harada:
bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion. CLEF (Working Notes) 2020 - [c21]Kunran Xu, Lai Rui, Yishi Li, Lin Gu:
Feature Normalized Knowledge Distillation for Image Classification. ECCV (25) 2020: 664-680 - [c20]Mengshun Hu, Liang Liao, Jing Xiao, Lin Gu, Shin'ichi Satoh:
Motion Feedback Design for Video Frame Interpolation. ICASSP 2020: 4347-4351 - [i5]Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu:
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. CoRR abs/2009.10295 (2020)
2010 – 2019
- 2019
- [j5]Pei Xiang, Jiangluqi Song, Huan Li, Lin Gu, Huixin Zhou:
Hyperspectral Anomaly Detection with Harmonic Analysis and Low-Rank Decomposition. Remote. Sens. 11(24): 3028 (2019) - [c19]Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng:
Pathological Evidence Exploration in Deep Retinal Image Diagnosis. AAAI 2019: 1093-1101 - [c18]Xin Yan, Lin Li, Chulin Xie, Jun Xiao, Lin Gu:
Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain. CLEF (Working Notes) 2019 - [c17]Wanwei Jian, Hanqiu Ju, Xiaoping Cen, Manman Cui, Honglai Zhang, Lijuan Zhang, Guangyi Wang, Lin Gu, Wu Zhou:
Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR. EMBC 2019: 853-856 - [c16]Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek:
ShelfNet for Fast Semantic Segmentation. ICCV Workshops 2019: 847-856 - [c15]Zhipeng Bao, Shaodi You, Lin Gu, Zhenglu Yang:
Single-Image Facial Expression Recognition Using Deep 3D Re-Centralization. ICCV Workshops 2019: 1628-1636 - [c14]Hanqiu Ju, Guangyi Wang, Shaoyang Men, Honglai Zhang, Lin Gu, Wu Zhou:
Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma. ICIP 2019: 1342-1345 - [c13]Bo Liu, Lin Gu, Feng Lu:
Unsupervised Ensemble Strategy for Retinal Vessel Segmentation. MICCAI (1) 2019: 111-119 - [i4]Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu:
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems. CoRR abs/1907.10456 (2019) - [i3]Juntao Guan, Rui Lai, Ai Xiong, Zesheng Liu, Lin Gu:
Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN. CoRR abs/1910.09858 (2019) - 2018
- [c12]Shijie Nie, Lin Gu, Art Subpa-Asa, Ilyes Kacher, Ko Nishino, Imari Sato:
A Data-Driven Approach for Direct and Global Component Separation from a Single Image. ACCV (6) 2018: 133-148 - [c11]Shijie Nie, Lin Gu, Yinqiang Zheng, Antony Lam, Nobutaka Ono, Imari Sato:
Deeply Learned Filter Response Functions for Hyperspectral Reconstruction. CVPR 2018: 4767-4776 - [i2]Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng:
Pathological Evidence Exploration in Deep Retinal Image Diagnosis. CoRR abs/1812.02640 (2018) - 2017
- [j4]Lin Gu, Xiaowei Zhang, He Zhao, Huiqi Li, Li Cheng:
Segment 2D and 3D Filaments by Learning Structured and Contextual Features. IEEE Trans. Medical Imaging 36(2): 596-606 (2017) - [c10]Yan Jia, Yinqiang Zheng, Lin Gu, Art Subpa-Asa, Antony Lam, Yoichi Sato, Imari Sato:
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping. ICCV 2017: 4715-4723 - [c9]Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Sadakazu Aiso, Nobuaki Imanishi:
Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. ICCV Workshops 2017: 99-106 - [c8]Lin Gu, Yinqiang Zheng, Ryoma Bise, Imari Sato, Nobuaki Imanishi, Sadakazu Aiso:
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels). MICCAI (1) 2017: 702-710 - [i1]Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Nobuaki Imanishi, Sadakazu Aiso:
Virtual Blood Vessels in Complex Background using Stereo X-ray Images. CoRR abs/1709.07551 (2017) - 2016
- [c7]Lin Gu, Antonio Robles-Kelly:
A quadratic optimisation approach for shading and specularity recovery from a single image. ICIP 2016: 4072-4076 - [c6]Antonio Robles-Kelly, Lin Gu, Ran Wei:
Classification from a Riemannian graph embedding viewpoint. IJCNN 2016: 3288-3295 - [p1]Lin Gu, Antonio Robles-Kelly:
Outdoor Shadow modelling and its Applications. Handbook of Pattern Recognition and Computer Vision 2016: 473-490 - 2015
- [c5]Lin Gu, Li Cheng:
Learning to Boost Filamentary Structure Segmentation. ICCV 2015: 639-647 - 2014
- [j3]Lin Gu, Antonio Robles-Kelly:
Shadow modelling based upon Rayleigh scattering and Mie theory. Pattern Recognit. Lett. 43: 89-97 (2014) - [j2]Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly:
Segmentation and Estimation of Spatially Varying Illumination. IEEE Trans. Image Process. 23(8): 3478-3489 (2014) - 2013
- [j1]Lin Gu, Antonio Robles-Kelly, Jun Zhou:
Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy. IEEE Trans. Image Process. 22(9): 3648-3663 (2013) - [c4]Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly:
Reconstructing Polarisation Components from Unpolarised Images. DICTA 2013: 1-8 - 2012
- [c3]Lin Gu, Antonio Robles-Kelly:
Shadow detection via Rayleigh scattering and Mie theory. ICPR 2012: 2165-2168 - 2011
- [c2]Lin Gu, Antonio Robles-Kelly:
Specularity Removal from Imaging Spectroscopy Data via Entropy Minimisation. DICTA 2011: 59-65 - [c1]Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly, Jun Zhou:
Material-specific user colour profiles from imaging spectroscopy data. ICCV 2011: 1987-1994
Coauthor Index
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