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Krishnakant Singh I am a PhD student at Visual Inference Lab at TU Darmstadt with Prof. Stefan Roth , where I work on computer vision and machine learning. I am interested in generative modeling with a particular focus on compositionality and disentanglement of scenes. I previously spent three beautiful years at Rakuten research working on object detection, retrieval, and complementary item recommendation for fashion images. I completed my graduation from IIT Hyderabad , where I was advised by Vineeth N Balasubramanian . |
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ResearchI'm interested in computer vision, machine learning, optimization, and image processing. Much of my research is focused on generative modeling with a focus on compositionality and disentanglement for images. |
News |
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| Apr' | 25 | 😄 Excited to announce that I will be interning at Adobe Research for the summer of 2025. | Mar' | 25 | 🚀 An updated version of our paper GLASS is accepted at CVPR 2025. |
| Sep' | 24 | 🎉 Honoured to receive the outstanding reviewer award at ECCV 2024. |
| Jun' | 24 | 🎉 Our paper won the best paper award @ CVPR 2024 Workshop: SyntaGen. |
| Apr' | 24 | 📢 Selected for summer internship at Valeo.ai . Unfortunately, I had to turn it down due to visa issues. |
Publications |
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GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth, CVPR 2025 Code (Coming Soon!) / arXiv |
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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, CVPR 2024 Workshop: SyntaGen-Harnessing Generative Models for Synthetic Visual Datasets 2024 , Best Paper Award Winner Code / arXiv |
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S2-Flow: Joint Semantic and Style Editing of Facial Images
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth, BMVC, 2022 Code / video / arXiv |
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Submodular Batch Selection for Training Deep Neural Networks
K J Joseph, Vamshi Teja Racha, Krishnakant Singh, Vineeth N. Balasubramanian, IJCAI, 2019 and ICML Workshop, 2019 Code / arXiv / Video |
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Submodular Importance Sampling for training Neural Networks
Krishnakant Singh Masters's Thesis Code / arXiv |
Work Experience |
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Rakuten Research | Research Scientist | Jan, 2020 - March, 2021 |
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Rakuten Inc. | Research Engineer | Oct, 2018 - Jan, 2020 |
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Google Summer of Code with MLPack | Summer Intern | May - Sep 2017 |
Miscellanea |
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Reviewer: ICCV 2025, CVPR 2025, ECCV 2024, ICCV 2023, IJCAI 2018
Graduate Student Instructor at TU Darmstadt: Computer Vision-1 (WS 2021), Computer Vision-2 (SS22, SS23, SS24, SS25) Graduate Student Instructor at IIT Hyderabad: Computer Vision-1 (WS 2021), Optimization Methods in Machine Learning (CS2630 Fall 2017), Deep Learning (CS5480 Spr 2018) |
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Website Credits to Mr. Jon Barron source code
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