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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Post
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<!– — title: ‘Future Blog Post’ date: 2199-01-01 permalink: /posts/2012/08/blog-post-4/ tags:
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Blog Post 4
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<!– — title: ‘Blog Post number 4’ date: 2015-08-14 permalink: /posts/2012/08/blog-post-4/ tags:
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Blog Post 3
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<!– — title: ‘Blog Post number 3’ date: 2014-08-14 permalink: /posts/2014/08/blog-post-3/ tags:
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Blog Post 2
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<!– — title: ‘Blog Post number 2’ date: 2013-08-14 permalink: /posts/2013/08/blog-post-2/ tags:
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Blog Post 1
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<!– — title: ‘Blog Post number 1’ date: 2012-08-14 permalink: /posts/2012/08/blog-post-1/ tags:
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portfolio
publications
“So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy
Published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, 2021
A new dataset and model for computational humor are proposed, which can automatically rate the humor quotient of stand-up comedy clips.
Resource-Efficient Hybrid X-Formers for Vision
Published in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2022
We developed a resource-efficient architecture for vision by making three modifications on ViT to address their shortcomings, which significantly improved their performance and made them more accessible.
Convolutional Xformers for Vision
Published in Arxiv, 2022
CXV is a new convolutional transformer hybrid architecture that outperforms other architectures in image classification, especially in scenarios with limited data and GPU resources.
WaveMix: A Resource-efficient Neural Network for Image Analysis
Published in Arxiv, 2022
WaveMix is a new resource-efficient and scalable neural architecture for computer vision that achieves comparable or better accuracy than the state-of-the-art in multiple-computer vision tasks.
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation
Published in Proceedings of the 27th International Conference on Pattern Recognition, Kolkata, India, 2023
The new technique, CHATTY, enhances unsupervised domain adaptation by introducing a novel transport loss that displaces classifier outputs to reduce class confusion and improve domain-invariant representations, leading to superior UDA results on benchmark datasets.
Resource-efficient Image Inpainting
Published in Tiny Papers @ International Conference on Learning Representations (ICLR), 2023
The paper proposes a computationally-efficient WaveMix-based fully convolutional architecture for image inpainting that outperforms the current state-of-the-art models while using less parameters and lower training and evaluation times.
WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting
Published in Arxiv, 2023
WavePaint is a new resource-efficient neural architecture for image inpainting that achieves comparable or better performance than the current state-of-the-art models without using adversarial training or diffusion.
Heterogeneous Graphs Model Spatial Relationships Between Biological Entities for Breast Cancer Diagnosis
Published in Workshop on GRaphs in biomedicAl Image anaLysis, International Conference on Medical Image Computing and Computer Assisted Intervention, 2023
The paper introduces a novel approach using a heterogeneous graph neural network to capture spatial and hierarchical relations in histopathological images, achieving higher accuracy than transformer-based models on breast cancer datasets.
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
Published in Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, Rome, Italy, 2024
This study evaluates the robustness of different deep learning architectures for breast cancer histopathological image classification across magnification scales.
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution
Published in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikaloa, HI, USA, 2024
WaveMixSR is a new neural network for image super-resolution that uses the WaveMix architecture, which is based on a 2D-discrete wavelet transform for spatial token-mixing, and achieves higher performance while requiring fewer resources and training data than transformer-based models.
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
Published in Arxiv, 2024
Our study evaluates lightweight, pre-trained CNN backbones across diverse datasets, offering crucial insights for model selection in small dataset scenarios.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.