22 citations · 43 across the 4 of their papers we have counts for
4 papers
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
Pranav Singh, Raviteja Chukkapalli, Shravan Chaudhari +5
Advancements in clinical treatment are increasingly constrained by the limitations of supervised learning techniques, which depend heavily on large volumes of annotated data. The a…
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders
Pranav Singh, Luoyao Chen, Mei Chen +4
The task of medical image segmentation presents unique challenges, necessitating both localized and holistic semantic understanding to accurately delineate areas of interest, such…
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
Shen Zheng, Yiling Ma, Jinqian Pan +2
This paper presents a comprehensive survey of low-light image and video enhancement, addressing two primary challenges in the field. The first challenge is the prevalence of mixed…
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis
Shen Zheng, Jinqian Pan, Changjie Lu +1
Point cloud analysis is challenging due to the irregularity of the point cloud data structure. Existing works typically employ the ad-hoc sampling-grouping operation of PointNet++,…