Few-Shot Learning for Road Object Detection. - Anay Majee; Kshitij Agrawal; Anbumani Subramanian (MetaDL@AAAI, 2021)

Few-Shot Batch Incremental Road Object Detection via Detector Fusion. - Anuj Tambwekar; Kshitij Agrawal; Anay Majee; Anbumani Subramanian (ICCVW, 2021)

Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection. - Anay Majee; Anbumani Subramanian; Kshitij Agrawal (CoRR, 2021)

Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection. - Ashutosh Agarwal; Anay Majee; Anbumani Subramanian; Chetan Arora 001 (CoRR, 2021)

Attention Guided Cosine Margin to Overcome Class-Imbalance in Few-Shot Road Object Detection. - Ashutosh Agarwal; Anay Majee; Anbumani Subramanian; Chetan Arora 001 (WACV (Workshops), 2022)

SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings. - Anay Majee; Suraj Kothawade; Krishnateja Killamsetty; Rishabh K. Iyer (CoRR, 2023)

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection. - Anay Majee; Ryan Sharp; Rishabh K. Iyer (ECCV (32), 2024)

SCoRe: Submodular Combinatorial Representation Learning. - Anay Majee; Suraj Kothawade; Krishnateja Killamsetty; Rishabh K. Iyer (ICML, 2024)

TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization. - Anay Majee; Maria Xenochristou; Wei-Peng Chen (AAAI, 2025)