Liangzhi Li

Latest

• Instruct Me More! Random Prompting for Visual In-Context Learning
• Learning bottleneck concepts in image classification
• Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
• Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis
• CARE-MI: Chinese benchmark for misinformation evaluation in maternity and infant care
• Match them up: visually explainable few-shot image classification
• Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning
• SCOUTER: Slot attention-based classifier for explainable image recognition
• MTUNet: Few-shot image classification with visual explanations
• Noisy-LSTM: Improving temporal awareness for video semantic segmentation
• IterNet: retinal image segmentation utilizing structural redundancy in vessel networks
• Joint learning of vessel segmentation and artery/vein classification with post-processing