Rahul Rahaman

13 papers A* 2B 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CRoPS: A Training-Free Hallucination Mitigation Framework for Vision-Language Models.
CoRR
Neeraj Anand, Samyak Jha, Udbhav Bamba, Rahul Rahaman
2026 J jnl
CRoPS: A Training-Free Hallucination Mitigation Framework for Vision-Language Models.
Trans. Mach. Learn. Res.
Neeraj Anand, Samyak Jha, Udbhav Bamba, Rahul Rahaman
2023 J jnl
C2F-TCN: A Framework for Semi- and Fully-Supervised Temporal Action Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Dipika Singhania, Rahul Rahaman, Angela Yao
2022 J jnl
A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation.
CoRR
Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao
2022 — conf
A Generalized and Robust Framework for Timestamp Supervision in Temporal Action Segmentation.
ECCV (4)
Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao
2022 J jnl
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation.
CoRR
Dipika Singhania, Rahul Rahaman, Angela Yao
2022 A* conf
Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation.
AAAI
Dipika Singhania, Rahul Rahaman, Angela Yao
2022 B conf
Pretrained Equivariant Features Improve Unsupervised Landmark Discovery.
ICPR
Rahul Rahaman, Atin Ghosh, Alexandre H. Thiery
2021 J jnl
Coarse to Fine Multi-Resolution Temporal Convolutional Network.
CoRR
Dipika Singhania, Rahul Rahaman, Angela Yao
2021 J jnl
Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation.
CoRR
Dipika Singhania, Rahul Rahaman, Angela Yao
2021 J jnl
Pretrained equivariant features improve unsupervised landmark discovery.
CoRR
Rahul Rahaman, Atin Ghosh, Alexandre H. Thiéry
2021 A* conf
Uncertainty Quantification and Deep Ensembles.
NeurIPS
Rahul Rahaman, Alexandre H. Thiéry
2020 J jnl
Uncertainty Quantification and Deep Ensembles.
CoRR
Rahul Rahaman, Alexandre H. Thiéry