activity
20152024
most citedRTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation

233 citations · 520 across the 20 of their papers we have counts for

collaborators

20 papers

cs.CV2024

MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation

Shenwang Jiang, Jianan Li, Ying Wang +4

Noisy labels, inevitably existing in pseudo segmentation labels generated from weak object-level annotations, severely hampers model optimization for semantic segmentation. Previou…

eess.IV2023★ 21 cited

RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging

Shiyun Zhou, Tingfa Xu, Shaocong Dong +1

Deep convolutional neural networks have recently shown promising results in compressive spectral reconstruction. Previous methods, however, usually adopt a single mapping function…

cs.CV2022

Automated Optical Inspection of FAST's Reflector Surface using Drones and Computer Vision

Jianan Li, Shenwang Jiang, Liqiang Song +5

The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is the world's largest single-dish radio telescope. Its large reflecting surface achieves unprecedented sensitivity…

cs.LG2022

Dynamic Loss For Robust Learning

Shenwang Jiang, Jianan Li, Jizhou Zhang +2

Label noise and class imbalance commonly coexist in real-world data. Previous works for robust learning, however, usually address either one type of the data biases and underperfor…

cs.CV2022★ 2 cited

FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection

Xinli Xu, Shaocong Dong, Lihe Ding +3

3D object detection with multi-sensors is essential for an accurate and reliable perception system of autonomous driving and robotics. Existing 3D detectors significantly improve t…

eess.IV2022★ 233 cited

RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation

Shiqi Huang, Jianan Li, Yuze Xiao +2

Automatic diabetic retinopathy (DR) lesions segmentation makes great sense of assisting ophthalmologists in diagnosis. Although many researches have been conducted on this task, mo…