Latest News
- (Mar 2023) Aerial Diffusion is on ArXiv !.
- (Jan 2023) One paper accepted to ICRA 2023.
- (Oct 2022) Two papers have been accepted to WACV 2023.
- (Sep 2022) Differentiable FAR is on ArXiv.
- (July 2022) FAR: Fourier Aerial Video Recognition has been accepted to ECCV 2022.
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Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models
Divya Kothandaraman,
Tianyi Zhou, Ming Lin, Dinesh Manocha
ArXiv 2023
arXiv
/ GitHub
A text-guided image to image diffusion model to generate aerial views from a single ground-view image.
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Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition
Divya Kothandaraman,
Ming Lin, Dinesh Manocha
ICRA 2023
A differentiable feature disentanglement method to learn "static salient" and "dynamic salient" regions for aerial video action recognition.
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SALAD: Source-free Active Label Agnostic Domain Adaptation
Divya Kothandaraman,
Sumit Shekhar, Abhilasha Sancheti, Manoj Ghuhan, Tripti Shukla, Dinesh Manocha
WACV 2023
arXiv
/ GitHub
A generic source-free active domain adaptation method that can handle shifts in output label space.
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FAR: Fourier Aerial Video Recognition
Divya Kothandaraman,
Tianrui Guan, Xijun Wang, Sean Hu, Ming Lin, Dinesh Manocha
ECCV 2022
Project Page
/ arXiv
/ GitHub
An efficient aerial video action recognition method, with novel frequency domain techniques, vis-a-vis, Fourier object disentanglement and Fourier attention.
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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.
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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.
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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.
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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.
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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.
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