An Adaptive Supervision Framework for Active Learning in Object Detection. - Sai Vikas Desai; Akshay Chandra Lagandula; Wei Guo 002; Seishi Ninomiya; Vineeth N. Balasubramanian (BMVC, 2019)

Automatic estimation of heading date of paddy rice using deep learning. - Sai Vikas Desai; Vineeth N. Balasubramanian; Tokihiro Fukatsu; Seishi Ninomiya; Wei Guo 002 (CoRR, 2019)

Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. - Akshay L. Chandra; Sai Vikas Desai; Vineeth N. Balasubramanian; Seishi Ninomiya; Wei Guo 002 (CoRR, 2019)

Towards Fine-grained Sampling for Active Learning in Object Detection. - Sai Vikas Desai; Vineeth N. Balasubramanian (CVPR Workshops, 2020)

On Initial Pools for Deep Active Learning. - Akshay L. Chandra; Sai Vikas Desai; Chaitanya Devaguptapu; Vineeth N. Balasubramanian (Preregister@NeurIPS, 2020)

Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey. - Akshay L. Chandra; Sai Vikas Desai; Wei Guo 002; Vineeth N. Balasubramanian (CoRR, 2020)

Pose Tutor: An Explainable System for Pose Correction in the Wild. - Bhat Dittakavi; Divyagna Bavikadi; Sai Vikas Desai; Soumi Chakraborty; Nishant Reddy; Vineeth N. Balasubramanian; Bharathi Callepalli; Ayon Sharma (CVPR Workshops, 2022)

CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction. - Bhat Dittakavi; Bharathi Callepalli; Aleti Vardhan; Sai Vikas Desai; Vineeth N. Balasubramanian (WACV, 2024)