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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profile photo

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.



News

Sep 24 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.

Guided Latent Slot Diffusion for Object-Centric Learning
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth,
arXiv preprint 2024
Code (Coming Soon!) / arXiv
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
S2-Flow: Joint Semantic and Style Editing of Facial Images
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth,
BMVC, 2022
Code / video / arXiv
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
Submodular Importance Sampling for training Neural Networks
Krishnakant Singh
Masters's Thesis
Code / arXiv

Work Experience

rit_logo Rakuten Research Research Scientist (Jan, 2020 - March, 2021)
rakuten_logo Rakuten Inc. Research Engineer (Oct, 2018 - Jan, 2020)
gsoc_logo Google Summer of Code with MLPack Summer Intern (May, 2017 - Sep, 2017)

Miscellanea

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)

Website Credits to Mr. Jon Barron source code