Krishnakant Singh

According to our database, Krishnakant Singh authored at least 5 papers between 2019 and 2024.

Collaborative distances:

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

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