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Krishnakant (Krish) Singh I am a PhD student at the Visual Inference Lab at TU Darmstadt, advised by Prof. Stefan Roth. My research focuses on computer vision and machine learning. I also work in close collaboration with Prof. Simone Schaub-Meyer. 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 Prof. Vineeth N Balasubramanian . |
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I am looking for a full-time position in industry or at a startup focused on generative models starting June 2026.
Please reach out to me if you have any opportunities.
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News |
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| Feb' | 26 | 🚀 MUFASA was accepted at CVPR 2026. |
| Feb' | 26 | 📢 Released Evaluating OCL beyond Object Discovery paper and MUFASA paper. |
| Jul' | 25 | 🚀 MR-DINOSAUR was accepted at ICCVW-2025. Congrats to the team! |
| 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. |
Research |
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Evaluating Object-Centric Models beyond Object Discovery
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth arXiv preprint, 2026 Code/ arXiv |
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MUFASA: A Multi-Layer Framework for Slot Attention
Sebastian Bock*, Leonie Schüßler*, Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth CVPR 2026 Code/ arXiv |
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Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
Xinrui Gong*, Oliver Hahn*, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers ICCVW 2025, Oral Presentation at ILR+G Workshop Code/ arXiv |
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GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth CVPR 2025 Code / arXiv / Video |
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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 CVPRW 2024 , Best Paper Award Winner at SyntaGen Workshop 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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Adobe Research | Research Scientist Intern | May, 2025 - Sep, 2025 |
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Rakuten Research | Research Scientist | Jan, 2020 - March, 2021 |
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Rakuten Research | Research Engineer | Oct, 2018 - Jan, 2020 |
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Google Summer of Code | Summer Intern | May, 2017 - Sep, 2017 |
Academic Service |
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Reviewer: NeurIPS: 2025, ICCV: 2023, 2025, CVPR: 2025, 2026, ECCV: 2024, IJCAI: 2018
Graduate Student Instructor at TU Darmstadt: Computer Vision-1 (WS 2021), Computer Vision-2 (SS22-25) 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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