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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Research
I'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.
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News |
Sep |
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Grateful and honoured to receive the outstanding reviewer award at ECCV 2024. |
Jun |
24 |
Our paper won the best student paper award @ SyntaGen Workshop (CVPR 2024). |
Apr |
24 |
Selected for summer internship at Valeo.ai . |
Publications
I'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.
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Guided Latent Slot Diffusion for Object-Centric Learning
Krishnakant Singh,
Simone Schaub-Meyer,
Stefan Roth,
arXiv preprint 2024
Code (Coming Soon!)
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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
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arXiv
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S2-Flow: Joint Semantic and Style Editing of Facial Images
Krishnakant Singh,
Simone Schaub-Meyer,
Stefan Roth,
BMVC, 2022
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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
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arXiv
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Submodular Importance Sampling for training Neural Networks
Krishnakant Singh
Masters's Thesis
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arXiv
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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, 2017 - Sep, 2017) |
Reviewer: ECCV 2024, ICCV 2023, IJCAI 2018
Graduate Student Instructor at TU Darmstadt: Computer Vision-1 (WS 2021), Computer Vision-2 (SS22, SS23)
Graduate Student Instructor at IIT Hyderabad: Computer Vision-1 (WS 2021), Computer Vision-2 (SS22, SS23) Optimization Methods in Machine Learning (CS2630 Fall 2017), Deep Learning (CS5480 Spr 2018)
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