collaborators

7 papers

cs.CV2026

AerialYield-B2D: A Greenhouse Blueberry Dataset with Five-Stage Ripeness Masks and Fruit Counts

Iyyakutti Iyappan Ganapathi, Afeefa Azam, Muhammad Owais +2

Blueberry ripeness is judged by berry colour, cluster composition, and the distribution of maturity stages within a plant, however, public green house image resources with dense ri…

cs.CV2025

Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025

Matej Vitek, Darian Tomašević, Abhijit Das +32

This paper presents a summary of the 2025 Sclera Segmentation Benchmarking Competition (SSBC), which focused on the development of privacy-preserving sclera-segmentation models tra…

cs.CG2025

SHREC'25 Track on Multiple Relief Patterns: Report and Analysis

Gabriele Paolini, Claudio Tortorici, Stefano Berretti +10

This SHREC 2025 track focuses on the recognition and segmentation of relief patterns embedded on the surface of a set of synthetically generated triangle meshes. We report the meth…

cs.CV2025

CLDTracker: A Comprehensive Language Description for Visual Tracking

Mohamad Alansari, Sajid Javed, Iyyakutti Iyappan Ganapathi +2

VOT remains a fundamental yet challenging task in computer vision due to dynamic appearance changes, occlusions, and background clutter. Traditional trackers, relying primarily on…

cs.CV2025

Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation

Shahad Albastaki, Anabia Sohail, Iyyakutti Iyappan Ganapathi +6

In Computational Pathology (CPath), the introduction of Vision-Language Models (VLMs) has opened new avenues for research, focusing primarily on aligning image-text pairs at a sing…

cs.CV2025

DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation

Maregu Assefa, Muzammal Naseer, Iyyakutti Iyappan Ganapathi +3

Semi-supervised learning in medical image segmentation leverages unlabeled data to reduce annotation burdens through consistency learning. However, current methods struggle with cl…