16 citations · 16 across the 3 of their papers we have counts for
9 papers
FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
Rahul Harsha Cheppally, Sidharth Rai, Sudan Baral +2
Accurate fruit maturity identification is essential for determining harvest timing, as incorrect assessment directly affects yield and post-harvest quality. Although ripening is a…
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview
Benjamin Kiefer, Jan Lukas Augustin, Jon MuhoviÄ +52
The 4th Workshop on Maritime Computer Vision (MaCVi) is organized as part of CVPR 2026. This edition features five benchmark challenges with emphasis on both predictive accuracy an…
YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection
Ranjan Sapkota, Rahul Harsha Cheppally, Ajay Sharda +1
This study presents a comprehensive analysis of Ultralytics YOLO26(also called as YOLOv26), highlighting its key architectural enhancements and performance benchmarking for real-ti…
FruitProm: Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
Sidharth Rai, Rahul Harsha Cheppally, Benjamin Vail +2
Maturity estimation of fruits and vegetables is a critical task for agricultural automation, directly impacting yield prediction and robotic harvesting. Current deep learning appro…
RowDetr: End-to-End Crop Row Detection Using Polynomials
Rahul Harsha Cheppally, Ajay Sharda
Crop row detection enables autonomous robots to navigate in gps denied environments. Vision based strategies often struggle in the environments due to gaps, curved crop rows and re…
Axis-Aligned 3D Stalk Diameter Estimation from RGB-D Imagery
Benjamin Vail, Rahul Harsha Cheppally, Ajay Sharda +1
Accurate, high-throughput phenotyping is a critical component of modern crop breeding programs, especially for improving traits such as mechanical stability, biomass production, an…