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Yimin Luo

3 accepted papers

2024

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

ECCV 2024poster

"Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery, and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and richly annotated video datasets has hindered the development of intelligent systems for surgical workflow analysi…

2020

Multi-Scale Progressive Fusion Network for Single Image Deraining

CVPR 2020poster

Rain streaks in the air appear in various blurring degrees and resolutions due to different distances from their positions to the camera. Similar rain patterns are visible in a rain image as well as its multi-scale (or multi-resolution) versions, which makes it possible to exploit such complementary…

Cited by 844PDFcodeScholar
2018

Improving Convolutional Neural Networks Via Compacting Features

ICASSP 2018accepted

Convolutional neural networks (CNNs) have shown great advantages in computer vision fields, and loss functions are of great significance to their gradient descent algorithms. Softmax loss, a combination of cross-entropy loss and Softmax function, is the most commonly used one for CNNs. Hence, it can…

Cited by 0SourceScholar