4 citations · 20 across the 23 of their papers we have counts for
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Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification
Junlin Hou, Jilan Xu, Nan Zhang +3
This paper presents our solution for the 2nd COVID-19 Severity Detection Competition. This task aims to distinguish the Mild, Moderate, Severe, and Critical grades in COVID-19 ches…
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images
Junlin Hou, Jilan Xu, Fan Xiao +6
Automatic diabetic retinopathy (DR) grading based on fundus photography has been widely explored to benefit the routine screening and early treatment. Existing researches generally…
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
Junlin Hou, Jilan Xu, Nan Zhang +4
This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop at the European Conference on Computer Vision (ECCV 2022). In ou…
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
Junlin Hou, Fan Xiao, Jilan Xu +3
The ultra-wide optical coherence tomography angiography (OCTA) has become an important imaging modality in diabetic retinopathy (DR) diagnosis. However, there are few researches fo…
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis
Junlin Hou, Jilan Xu, Rui Feng +1
This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop in the European Conference on Computer Vision (ECCV 2022). In ou…
Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation
Shuaicheng Li, Feng Zhang, Rui-Wei Zhao +4
It has been found that temporal action proposal generation, which aims to discover the temporal action instances within the range of the start and end frames in the untrimmed video…
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
Jilan Xu, Junlin Hou, Yuejie Zhang +5
Weakly Supervised Object Localization (WSOL) aims to localize objects with image-level supervision. Existing works mainly rely on Class Activation Mapping (CAM) derived from a clas…