Krishnakant Singh

12 papers A* 2A 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating Object-Centric Models beyond Object Discovery.
CoRR
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2026 J jnl
MUFASA: A Multi-Layer Framework for Slot Attention.
CoRR
Sebastian Bock, Leonie Schüßler, Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2025 A* conf
GLASS: Guided Latent Slot Diffusion for Object-Centric Learning.
CVPR
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2025 — conf
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery.
ICCVW
Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth
2025 J jnl
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery.
CoRR
Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth
2024 J jnl
Guided Latent Slot Diffusion for Object-Centric Learning.
CoRR
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2024 — conf
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images.
CVPR Workshops
Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth
2024 J jnl
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images.
CoRR
Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth
2022 A conf
$S^2$-Flow: Joint Semantic and Style Editing of Facial Images.
BMVC
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2022 J jnl
S
CoRR
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2019 A* conf
Submodular Batch Selection for Training Deep Neural Networks.
IJCAI
K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian
2019 J jnl
Submodular Batch Selection for Training Deep Neural Networks.
CoRR
K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian