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

Conferences
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)

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)

Paper / Arxiv / Code

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

Paper / Code / Poster

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

Paper / Poster

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

Paper / Code / Poster



Journals
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

Paper / Code

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

Paper

Pre-prints / Working papers
ELF : An Early-Exiting Framework for Long-Tailed Classification

Rahul Duggal, Scott Freitas, Sunny Dhamnani, Polo Chau, Jimeng Sun

Arxiv
CUP : Cluster pruning for Compressing Deep Neural Networks

Rahul Duggal, Cao Xiao, Richard Vuduc, Polo Chau, Jimeng Sun

Arxiv / Code
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software

Scott Freitas, Rahul Duggal, Polo Chau

Arxiv

Thanks to John Barron for the website design.