Divya Kothandaraman

I am a Computer Science PhD student at the University of Maryland College Park, working with Dr. Dinesh Manocha at the GAMMA Lab. Previously, I was an undergraduate (five year dual degree) at the Indian Institute of Technology Madras, where I obtained a bachelors degree in Electrical Engineering, and masters degree in Data Sciences.

My current research is in computer vision and deep learning, with a special focus towards perception and video synthesis for aerial scenes.

Email / Google Scholar / Twitter / Github

Latest News

(July 2022) FAR: Fourier Aerial Video Recognition has been accepted at ECCV 2022.
(July 2022) SALAD: Source-free Active Label Agnostic Domain Adaptation is on ArXiv.
(July 2022) GANav has been accepted at IROS-2022 and RSS-2022.
(May 2022) Starting at Adobe Research as a research intern.

	SALAD: Source-free Active Label Agnostic Domain Adaptation Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti, Manoj Ghuhan, Tripti Shukla, Dinesh Manocha ArXiv 2022 A generic source-free active domain adaptation method that can handle shifts in output label space.
	FAR: Fourier Aerial Video Recognition Divya Kothandaraman, Tianrui Guan, Xijun Wang, Sean Hu, Ming Lin, Dinesh Manocha ECCV 2022 An efficient aerial video action recognition method, with novel frequency domain techniques, vis-a-vis, Fourier object disentanglement and Fourier attention.
	GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments Tianrui Guan Divya Kothandaraman, Rohan Chandra Dinesh Manocha IROS 2022 and RSS 2022 Project Page / arXiv / bibtex An attention-based segmentation method for identifying safe and navigable regions in off-road terrains.
	SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments Divya Kothandaraman, Rohan Chandra Dinesh Manocha ICCV Workshops 2021 Project Page / arXiv / YouTube / GitHub / bibtex A self-supervised learning approach for source free unsupervised road segmentation in adverse weather environments and low light conditions.
	BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unconstrained Environments Divya Kothandaraman, Rohan Chandra Dinesh Manocha ICCV Workshops 2021 Project Page / arXiv / YouTube / GitHub / bibtex A multi-source boundless unsupervised domain adaptation algorithm for semantic segmentation in unstructured environments.
	Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation Divya Kothandaraman, Athira Nambiar Anurag Mittal WACV Workshops 2021 Paper / YouTube / GitHub / bibtex An approach for domain adaptive semantic segmentation in models with limited memory.
	Deep Atrous Guided Filter for Image Restoration in Under Display Cameras Varun Sundar , Sumanth Hegde, Divya Kothandaraman* , Kaushik Mitra ECCV Workshops, 2020 ArXiv / YouTube / Project Page / bibtex Guided Filters when incorporated in a deep network can efficiently recover severely degraded, mega-pixel resolution images.

Website template borrowed from Jon Barron.