Brejesh Lall

2 accepted papers

2026

Continual Segmentation under Joint Nonstationarity

Prashant Pandey, Himanshu Kumar, Devineni Chowdary, Brejesh Lall

ICML 2026poster

Evolving data streams induce joint nonstationarity in continual semantic segmentation, where semantic classes, input distributions, and supervision availability change simultaneously over time. This setting reflects practical structured prediction systems, yet remains largely unexplored in prior con…

Cited by 0 Source ↗Scholar ↗

2021

ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation

Vinay Kaushik, Kartik Jindgar, Brejesh Lall

RA-L 2021

Self-supervised learning of depth has been a highly studied topic of research as it alleviates the requirement of having ground truth annotations for predicting depth. Depth is learnt as an intermediate solution to the task of view synthesis, utilising warped photometric consistency. Although it giv

Cited by 22 Source ↗Scholar ↗