Lin Gu

Orcid: 0000-0002-7419-6240

Affiliations:
  • National Institute of Informatics (NII), Tokyo, Japan
  • A*STAR, Singapore (former)
  • Australian National University, Canberra, ACT, Australia (PhD)


According to our database1, Lin Gu authored at least 83 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Sketch-based semantic retrieval of medical images.
Medical Image Anal., February, 2024

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
InstrumentNet: An integrated model for real-time segmentation of intracranial surgical instruments.
Comput. Biol. Medicine, November, 2023

Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma.
Pattern Recognit., October, 2023

PATCH: A Plug-in Framework of Non-blocking Inference for Distributed Multimodal System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Information bottleneck and selective noise supervision for zero-shot learning.
Mach. Learn., July, 2023

Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer.
CoRR, 2023

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption.
CoRR, 2023

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning.
CoRR, 2023

Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields.
CoRR, 2023

Sketch-based Medical Image Retrieval.
CoRR, 2023

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning.
CoRR, 2023

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking.
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.
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.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis.
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.
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.
IEEE Trans. Multim., 2022

Explainable Diabetic Retinopathy Detection and Retinal Image Generation.
IEEE J. Biomed. Health Informatics, 2022

Memory-Efficient Deformable Convolution Based Joint Denoising and Demosaicing for UHD Images.
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.
Robotics Auton. Syst., 2022

Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer.
CoRR, 2022

Improving Fairness in Image Classification via Sketching.
CoRR, 2022

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation.
CoRR, 2022

Illumination Adaptive Transformer.
CoRR, 2022

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis.
CoRR, 2022

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images.
CoRR, 2022

A multilayer dynamic perturbation analysis method for predicting ligand-protein interactions.
BMC Bioinform., 2022

Readmission Prediction for Heart Failure Patients Using Features Extracted From SS-MIX.
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.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

A Geometry-Constrained Deformable Attention Network for Aortic Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Surgical Skill Assessment via Video Semantic Aggregation.
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.
Proceedings of the Computer Vision, 2022

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective.
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.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

EtinyNet: Extremely Tiny Network for TinyML.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Towards an Effective Orthogonal Dictionary Convolution Strategy.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Understanding adversarial attacks on deep learning based medical image analysis systems.
Pattern Recognit., 2021

Relation-Aware Reasoning with Graph Convolutional Network.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Goal-Oriented Gaze Estimation for Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.
IEEE Trans. Image Process., 2020

RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-Resolution.
Sensors, 2020

City-Scale Distance Sensing via Bispectral Light Extinction in Bad Weather.
Remote. Sens., 2020

Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition.
IEEE Geosci. Remote. Sens. Lett., 2020

Fixed pattern noise reduction for infrared images based on cascade residual attention CNN.
Neurocomputing, 2020

Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI.
Frontiers Neuroinformatics, 2020

Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest.
Frontiers Neuroinformatics, 2020

Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss.
CoRR, 2020

Motion Feedback Design for Video Frame Interpolation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Feature Normalized Knowledge Distillation for Image Classification.
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.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Hyperspectral Anomaly Detection with Harmonic Analysis and Low-Rank Decomposition.
Remote. Sens., 2019

Unsupervised Ensemble Strategy for Retinal Vessel Segmentation.
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.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

ShelfNet for Fast Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Single-Image Facial Expression Recognition Using Deep 3D Re-Centralization.
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.
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.
Proceedings of the Working Notes of CLEF 2019, 2019

Pathological Evidence Exploration in Deep Retinal Image Diagnosis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deeply Learned Filter Response Functions for Hyperspectral Reconstruction.
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.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Segment 2D and 3D Filaments by Learning Structured and Contextual Features.
IEEE Trans. Medical Imaging, 2017

Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Classification from a Riemannian graph embedding viewpoint.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A quadratic optimisation approach for shading and specularity recovery from a single image.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Outdoor Shadow modelling and its Applications.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015
Learning to Boost Filamentary Structure Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Segmentation and Estimation of Spatially Varying Illumination.
IEEE Trans. Image Process., 2014

Shadow modelling based upon Rayleigh scattering and Mie theory.
Pattern Recognit. Lett., 2014

2013
Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy.
IEEE Trans. Image Process., 2013

Reconstructing Polarisation Components from Unpolarised Images.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

2012
Shadow detection via Rayleigh scattering and Mie theory.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Material-specific user colour profiles from imaging spectroscopy data.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Specularity Removal from Imaging Spectroscopy Data via Entropy Minimisation.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011


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