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)

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)

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)

LUMOS: Language-Conditioned Imitation Learning with World Models. - Iman Nematollahi; Branton DeMoss; Akshay L. Chandra; Nick Hawes; Wolfram Burgard; Ingmar Posner (CoRR, 2025)

DiWA: Diffusion Policy Adaptation with World Models. - Akshay L. Chandra; Iman Nematollahi; Chenguang Huang; Tim Welschehold; Wolfram Burgard; Abhinav Valada (CoRR, 2025)