Lin Gu

According to our database, Lin Gu authored at least 90 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring the Usage of Pre-trained Features for Stereo Matching.

Jiawei Zhang, Lei Huang, Xiao Bai, Jin Zheng, Lin Gu, Edwin R. Hancock

Int. J. Comput. Vis., October, 2024

Sketch-based semantic retrieval of medical images.

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

Medical Image Anal., February, 2024

Rethinking masked image modelling for medical image representation.

Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu

Medical Image Anal., 2024

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning.

Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang Zhang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu

Medical Image Anal., 2024

ER-NeRF++: Efficient region-aware Neural Radiance Fields for high-fidelity talking portrait synthesis.

Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu

Inf. Fusion, 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, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto

Artif. Intell. Medicine, 2024

CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization.

Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai

Proceedings of the Computer Vision - ECCV 2024, 2024

TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting.

Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu

Proceedings of the Computer Vision - ECCV 2024, 2024

Robust Synthetic-to-Real Transfer for Stereo Matching.

Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization.

Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption.

Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

InstrumentNet: An integrated model for real-time segmentation of intracranial surgical instruments.

Zhenzhong Liu, Laiwang Zheng, Lin Gu, Shubin Yang, Zichen Zhong, Guobin Zhang

Comput. Biol. Medicine, November, 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, Wu Zhou

Pattern Recognit., October, 2023

PATCH: A Plug-in Framework of Non-blocking Inference for Distributed Multimodal System.

Juexing Wang, Guangjing Wang, Xiao Zhang, Li Liu, Huacheng Zeng, Li Xiao, Zhichao Cao, Lin Gu, Tianxing Li

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization.

Kunran Xu, Rui Lai, Lin Gu, Yishi Li

IEEE Trans. Neural Networks Learn. Syst., July, 2023

DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping.

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

IEEE Trans. Neural Networks Learn. Syst., July, 2023

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 R. Hancock

Mach. Learn., July, 2023

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning.

Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu

CoRR, 2023

Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields.

Ziteng Cui, Lin Gu, Xiao Sun, Yu Qiao, Tatsuya Harada

CoRR, 2023

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, 2023

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning.

Xinyue Hu, Lin Gu, Kazuma Kobayashi, Qiyuan An, Qingyu Chen, Zhiyong Lu, Chang Su, Tatsuya Harada, Yingying Zhu

CoRR, 2023

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking.

Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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, Ryuji Hamamoto

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering.

Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Zhennan Wu, Yang Li, Yifei Huang, Lin Gu, Tatsuya Harada, Hiroyuki Sato

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer.

Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis.

Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss.

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

IEEE Trans. Multim., 2022

Explainable Diabetic Retinopathy Detection and Retinal Image Generation.

Yuhao Niu, Lin Gu, Yitian Zhao, Feng Lu

IEEE J. Biomed. Health Informatics, 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 Trans. Circuits Syst. Video Technol., 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

Robotics Auton. Syst., 2022

Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer.

Shenghan Su, Lin Gu, Ziteng Cui, Yue Yang, Jingjing Shen, Hiroaki Yamane, Zenghui Zhang, Tatsuya Harada

CoRR, 2022

Improving Fairness in Image Classification via Sketching.

Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu

CoRR, 2022

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation.

Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu

CoRR, 2022

Illumination Adaptive Transformer.

Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada

CoRR, 2022

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis.

Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu

CoRR, 2022

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images.

Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada

CoRR, 2022

A multilayer dynamic perturbation analysis method for predicting ligand-protein interactions.

Lin Gu, Bin Li, Dengming Ming

BMC Bioinform., 2022

Readmission Prediction for Heart Failure Patients Using Features Extracted From SS-MIX.

Hiroaki Yamane, Yusuke Kurose, Antonio Tejero-de-Pablos, Lin Gu, Junichi Iho, Youji Tokunaga, Makoto Horie, Yusaku Hayashi, Keisuke Nishizawa, Yasushi Koyama, Tatsuya Harada

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Graph interaction for automated diagnosis of thoracic disease using x-ray images.

Bumjun Jung, Lin Gu, Tatsuya Harada

Proceedings of the Medical Imaging 2022: Image Processing, 2022

A Geometry-Constrained Deformable Attention Network for Aortic Segmentation.

Weiyuan Lin, Hui Liu, Lin Gu, Zhifan Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Surgical Skill Assessment via Video Semantic Aggregation.

Zhenqiang Li, Lin Gu, Weimin Wang, Ryosuke Nakamura, Yoichi Sato

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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, Edwin R. Hancock

Proceedings of the Computer Vision, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

EtinyNet: Extremely Tiny Network for TinyML.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Towards an Effective Orthogonal Dictionary Convolution Strategy.

Yishi Li, Kunran Xu, Rui Lai, Lin Gu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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 Recognit., 2021

Relation-Aware Reasoning with Graph Convolutional Network.

Lei Zhou, Yang Liu, Xiao Bai, Xiang Wang, Chen Wang, Liang Zhang, Lin Gu

Proceedings of the Image and Graphics - 11th International Conference, 2021

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Goal-Oriented Gaze Estimation for Zero-Shot Learning.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.

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

IEEE Trans. Image Process., 2020

RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-Resolution.

Juan Du, Huixin Zhou, Kun Qian, Wei Tan, Zhe Zhang, Lin Gu, Yue Yu

Sensors, 2020

City-Scale Distance Sensing via Bispectral Light Extinction in Bad Weather.

Dong Zhao, Yuta Asano, Lin Gu, Imari Sato, Huixin Zhou

Remote. Sens., 2020

Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition.

Shangzhen Song, Huixin Zhou, Lin Gu, Yixin Yang, Yiyi Yang

IEEE Geosci. Remote. Sens. Lett., 2020

Fixed pattern noise reduction for infrared images based on cascade residual attention CNN.

Juntao Guan, Rui Lai, Ai Xiong, Zesheng Liu, Lin Gu

Neurocomputing, 2020

Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI.

Chenyi Zeng, Lin Gu, Zhenzhong Liu, Shen Zhao

Frontiers Neuroinformatics, 2020

Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest.

Lin Gu, Xiaowei Zhang, Shaodi You, Shen Zhao, Zhenzhong Liu, Tatsuya Harada

Frontiers Neuroinformatics, 2020

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

Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu

CoRR, 2020

Motion Feedback Design for Video Frame Interpolation.

Mengshun Hu, Liang Liao, Jing Xiao, Lin Gu, Shin'ichi Satoh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Feature Normalized Knowledge Distillation for Image Classification.

Kunran Xu, Lai Rui, Yishi Li, Lin Gu

Proceedings of the Computer Vision - ECCV 2020, 2020

bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion.

Bumjun Jung, Lin Gu, Tatsuya Harada

Proceedings of the Working Notes of CLEF 2020, 2020

2019

Hyperspectral Anomaly Detection with Harmonic Analysis and Low-Rank Decomposition.

Pei Xiang, Jiangluqi Song, Huan Li, Lin Gu, Huixin Zhou

Remote. Sens., 2019

Unsupervised Ensemble Strategy for Retinal Vessel Segmentation.

Bo Liu, Lin Gu, Feng Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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, Wu Zhou

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

ShelfNet for Fast Semantic Segmentation.

Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Single-Image Facial Expression Recognition Using Deep 3D Re-Centralization.

Zhipeng Bao, Shaodi You, Lin Gu, Zhenglu Yang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 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, Wu Zhou

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain.

Xin Yan, Lin Li, Chulin Xie, Jun Xiao, Lin Gu

Proceedings of the Working Notes of CLEF 2019, 2019

Pathological Evidence Exploration in Deep Retinal Image Diagnosis.

Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deeply Learned Filter Response Functions for Hyperspectral Reconstruction.

Shijie Nie, Lin Gu, Yinqiang Zheng, Antony Lam, Nobutaka Ono, Imari Sato

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Data-Driven Approach for Direct and Global Component Separation from a Single Image.

Shijie Nie, Lin Gu, Art Subpa-Asa, Ilyes Kacher, Ko Nishino, Imari Sato

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Segment 2D and 3D Filaments by Learning Structured and Contextual Features.

Lin Gu, Xiaowei Zhang, He Zhao, Huiqi Li, Li Cheng

IEEE Trans. Medical Imaging, 2017

Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels).

Lin Gu, Yinqiang Zheng, Ryoma Bise, Imari Sato, Nobuaki Imanishi, Sadakazu Aiso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images.

Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Sadakazu Aiso, Nobuaki Imanishi

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping.

Yan Jia, Yinqiang Zheng, Lin Gu, Art Subpa-Asa, Antony Lam, Yoichi Sato, Imari Sato

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Classification from a Riemannian graph embedding viewpoint.

Antonio Robles-Kelly, Lin Gu, Ran Wei

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A quadratic optimisation approach for shading and specularity recovery from a single image.

Lin Gu, Antonio Robles-Kelly

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Outdoor Shadow modelling and its Applications.

Lin Gu, Antonio Robles-Kelly

Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015

Learning to Boost Filamentary Structure Segmentation.

Lin Gu, Li Cheng

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Segmentation and Estimation of Spatially Varying Illumination.

Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly

IEEE Trans. Image Process., 2014

Shadow modelling based upon Rayleigh scattering and Mie theory.

Lin Gu, Antonio Robles-Kelly

Pattern Recognit. Lett., 2014

2013

Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy.

Lin Gu, Antonio Robles-Kelly, Jun Zhou

IEEE Trans. Image Process., 2013

Reconstructing Polarisation Components from Unpolarised Images.

Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

2012

Shadow detection via Rayleigh scattering and Mie theory.

Lin Gu, Antonio Robles-Kelly

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Material-specific user colour profiles from imaging spectroscopy data.

Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly, Jun Zhou

Proceedings of the IEEE International Conference on Computer Vision, 2011

Specularity Removal from Imaging Spectroscopy Data via Entropy Minimisation.

Lin Gu, Antonio Robles-Kelly

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011