Krishnakant Singh

According to our database, Krishnakant Singh authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MUFASA: A Multi-Layer Framework for Slot Attention.

Sebastian Bock, Leonie Schüßler, Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

CoRR, February, 2026

Evaluating Object-Centric Models beyond Object Discovery.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

CoRR, February, 2026

2025

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery.

Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Guided Latent Slot Diffusion for Object-Centric Learning.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

CoRR, 2024

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images.

Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

S²-Flow: Joint Semantic and Style Editing of Facial Images.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

CoRR, 2022

$S^2$-Flow: Joint Semantic and Style Editing of Facial Images.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2019

Submodular Batch Selection for Training Deep Neural Networks.

K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019