Rahul Duggal
I am pursuing a Ph.D. in Computer Science at Georgia Institute of Technology where I am co-advised by Prof. Polo Chau (from Georgia Tech) and Prof. Jimeng Sun (from UIUC).
My current research interests lie in the area of robust and efficient deep learning with applications in the areas of healthcare, fashion retrieval and face verification.
Github  / 
Google Scholar  / 
Email  / 
CV
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Conferences
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Compatibility-aware Heterogeneous Visual Search
Rahul Duggal,
Hao Zhou,
Shuo Yang,
Yuanjun Xiong,
Polo Chau,
Wei Xia,
Zhuowen Tu,
Stefano Soatto
Computer Vision and Pattern Recognition (CVPR), 2021
Paper (Coming soon)
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REST : Robust and Efficient Neural Networks for Sleep Staging in the Wild
Rahul Duggal*,
Scott Freitas*, Cao Xiao, Polo Chau, Jimeng Sun (* = equal contribution)
The Web Conference (WWW), 2020, Taipei (Oral)
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Arxiv /
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SD-Layer: Stain Deconvolutional layer for CNNs in Medical Microscopic Imaging
Rahul Duggal,
Anubha Gupta,
Ritu Gupta,
Pramit Mallick
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017, Quebec City, Canada
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Poster
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P-TELU : Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks
Rahul Duggal,
Anubha Gupta
International Conference of Computer Vision Workshops (ICCVW), 2017, Venice, Italy
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Poster
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Overlapping Cell Nuclei Segmentation in Microscopic Images Using Deep Belief Networks
Rahul Duggal,
Anubha Gupta,
Ritu Gupta, Manya Wadhwa, Chirag Ahuja
Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016, India
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Code /
Poster
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Journals
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GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images
Anubha Gupta,
Rahul Duggal,
Shiv Gehlot,
Ritu Gupta,
Anvit Mangal,
Lalit Kumar,
Nisarg Thakkar,
Devprakash Satpathy
Medical Image Analysis, 2020
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Code
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PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma
Anubha Gupta,
Pramit Mallick,
Ojaswa Sharma,
Ritu Gupta,
Rahul Duggal
PLOS ONE
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Pre-prints / Working papers
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ELF : An Early-Exiting Framework for Long-Tailed Classification
Rahul Duggal,
Scott Freitas,
Sunny Dhamnani,
Polo Chau,
Jimeng Sun
Arxiv
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CUP : Cluster pruning for Compressing Deep Neural Networks
Rahul Duggal,
Cao Xiao,
Richard Vuduc,
Polo Chau,
Jimeng Sun
Arxiv /
Code
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MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software
Scott Freitas,
Rahul Duggal,
Polo Chau
Arxiv
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