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 (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 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 (CoRR, 2024)

Guided Latent Slot Diffusion for Object-Centric Learning - Krishnakant Singh; Simone Schaub-Meyer; Stefan Roth (CoRR, 2024)

S^2-Flow: Joint Semantic and Style Editing of Facial Images - Krishnakant Singh; Simone Schaub-Meyer; Stefan Roth (33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, 2022)

S\(^2\)-Flow: Joint Semantic and Style Editing of Facial Images - Krishnakant Singh; Simone Schaub-Meyer; Stefan Roth (CoRR, 2022)

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, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Submodular Batch Selection for Training Deep Neural Networks - K. J. Joseph; Vamshi Teja R; Krishnakant Singh; Vineeth N. Balasubramanian (CoRR, 2019)