6 citations · 6 across the 4 of their papers we have counts for
4 papers
Token Sparsification for Faster Medical Image Segmentation
Lei Zhou, Huidong Liu, Joseph Bae +3
Can we use sparse tokens for dense prediction, e.g., segmentation? Although token sparsification has been applied to Vision Transformers (ViT) to accelerate classification, it is s…
Bokeh Rendering Based on Adaptive Depth Calibration Network
Lu Liu, Lei Zhou, Yuhan Dong
Bokeh rendering is a popular and effective technique used in photography to create an aesthetically pleasing effect. It is widely used to blur the background and highlight the subj…
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Hongkai Chen, Zixin Luo, Lei Zhou +6
Generating robust and reliable correspondences across images is a fundamental task for a diversity of applications. To capture context at both global and local granularity, we prop…
Learning Prototype via Placeholder for Zero-shot Recognition
Zaiquan Yang, Yang Liu, Wenjia Xu +3
Zero-shot learning (ZSL) aims to recognize unseen classes by exploiting semantic descriptions shared between seen classes and unseen classes. Current methods show that it is effect…