Revisiting computer-aided tuberculosis diagnosis

Y Liu, YH Wu, SC Zhang, L Liu, M Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Tuberculosis (TB) is a major global health threat, causing millions of deaths annually.
Although early diagnosis and treatment can greatly improve the chances of survival, it …

Learning local and global temporal contexts for video semantic segmentation

G Sun, Y Liu, H Ding, M Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Contextual information plays a core role for video semantic segmentation (VSS). This paper
summarizes contexts for VSS in two-fold: local temporal contexts (LTC) which define the …

CTVSR: Collaborative Spatial-Temporal Transformer for Video Super-Resolution

J Tang, C Lu, Z Liu, J Li, H Dai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Video super-resolution (VSR) is important in video processing for reconstructing high-
definition image sequences from corresponding continuous and highly-related video frames …

DEO-Net: Joint Density Estimation and Object Detection for Crowd Counting

DT Phan, J Gao, Y Lu, KH Yap, K Garg… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automated crowd counting has emerged as a vision-based measurement method for crowd
analysis and management. However, current methods based on density maps still suffer …

Transforming Poultry Farming: A Pyramid Vision Transformer Approach for Accurate Chicken Counting in Smart Farm Environments

R Khanal, Y Choi, J Lee - Sensors, 2024 - mdpi.com
Smart farm environments, equipped with cutting-edge technology, require proficient
techniques for managing poultry. This research investigates automated chicken counting, an …

[HTML][HTML] GLCrowd: 基于全局-局部注意力的弱监督密集场景人群计数模型

张红民, 田钱前, 颜鼎鼎, 卜令宇 - Opto-Electronic Engineering, 2024 - opticsjournal.net
摘要The proposed model was validated on the Shanghai Tech, UCF-QNRF, and
UCF_CC_50 datasets and compared with current mainstream weakly supervised crowd …

IOCSegFormer: Enhancing Wheat Ears Counting in Field Conditions Through Augmented Local Features

H Shen, Y Peng, J Zhang, H Zang, M Zhou, G Li… - … on Intelligent Computing, 2024 - Springer
The number of wheat ears under field conditions is pivotal for production assessment and
yield forecasting. Due to the occlusion, overlap, and influence of different weather …

COINS: Counting Cones Using Inpainting Based Self-supervised Learning

V Bommanapally, A Akhavanrezayat… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
A novel approach for" COunting cones using IN-painting based Self-supervised learning
(SSL)"(COINS), in wide field-of-view, low-resolution Adaptive Optics (AO) images is …

[HTML][HTML] GLCrowd: a weakly supervised global-local attention model for congested crowd counting

Z Hongmin, T Qianqian, Y Dingding… - Opto-Electronic …, 2024 - oejournal.org
To address the challenges of crowd counting in dense scenes, such as complex
backgrounds and scale variations, we propose a weakly supervised crowd counting model …