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09/06/2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
Patients undergoing chest X-rays (CXR) often endure multiple lung diseas...
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08/17/2023
SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations
Due to the prevalence of scale variance in nature images, we propose to ...
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07/22/2023
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
To contribute to automating the medical vision-language model, we propos...
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07/18/2023
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
This paper presents ER-NeRF, a novel conditional Neural Radiance Fields ...
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03/10/2023
Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields
Common capture low-light scenes are challenging for most computer vision...
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03/07/2023
Sketch-based Medical Image Retrieval
The amount of medical images stored in hospitals is increasing faster th...
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02/19/2023
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Medical visual question answering (VQA) aims to answer clinically releva...
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12/07/2022
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
The long-standing theory that a colour-naming system evolves under the d...
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10/31/2022
Improving Fairness in Image Classification via Sketching
Fairness is a fundamental requirement for trustworthy and human-centered...
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08/13/2022
Memory Efficient Temporal Visual Graph Model for Unsupervised Video Domain Adaptation
Existing video domain adaption (DA) methods need to store all temporal c...
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08/05/2022
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
Image restoration algorithms such as super resolution (SR) are indispens...
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08/04/2022
Surgical Skill Assessment via Video Semantic Aggregation
Automated video-based assessment of surgical skills is a promising task ...
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05/30/2022
Illumination Adaptive Transformer
Challenging illumination conditions (low light, underexposure and overex...
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05/06/2022
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection
Dark environment becomes a challenge for computer vision algorithms owin...
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01/07/2022
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images
Image restoration algorithms such as super resolution (SR) are indispens...
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12/02/2021
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
The human gaze is a cost-efficient physiological data that reveals human...
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07/01/2021
Explainable Diabetic Retinopathy Detection and Retinal Image Generation
Though deep learning has shown successful performance in classifying the...
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09/22/2020
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
Person Re-IDentification (ReID) aims at re-identifying persons from diff...
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09/16/2020
Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize novel classes by transferring...
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10/22/2019
Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN
Existing fixed pattern noise reduction (FPNR) methods are easily affecte...
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07/24/2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Deep neural networks (DNNs) have become popular for medical image analys...
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12/06/2018
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Though deep learning has shown successful performance in classifying the...
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09/22/2017