6 papers
WoundFormer: Multi-Scale Spatial Feature Fusion for Multi-Class Wound Tissue Segmentation
Muhammad Ashad Kabir, Rabin Dulal
Chronic wounds such as diabetic foot ulcers and pressure injuries require accurate tissue-level assessment to guide treatment planning and monitor healing progression. While deep l…
Agreement-Driven Multi-View 3D Reconstruction for Live Cattle Weight Estimation
Rabin Dulal, Wenfeng Jia, Lihong Zheng +1
Accurate cattle live weight estimation is vital for livestock management, welfare, and productivity. Traditional methods, such as manual weighing using a walk-over weighing system…
When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection
Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir
Muzzle patterns are among the most effective biometric traits for cattle identification. Fast and accurate detection of the muzzle region as the region of interest is critical to a…
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning
Rabin Dulal, Lihong Zheng, Ashad Kabir
Cattle identification is critical for efficient livestock farming management, currently reliant on radio-frequency identification (RFID) ear tags. However, RFID-based systems are p…
Brain Tumor Identification using Improved YOLOv8
Rupesh Dulal, Rabin Dulal
Identifying the extent of brain tumors is a significant challenge in brain cancer treatment. The main difficulty is in the approximate detection of tumor size. Magnetic resonance i…
MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification
Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir
Convolutional Neural Networks (CNNs) have drawn researchers' attention to identifying cattle using muzzle images. However, CNNs often fail to capture long-range dependencies within…