Rahul Duggal
Rahul Duggal
Amazon (AWS AI)
Verified email at - Homepage
Cited by
Cited by
2017 robotic instrument segmentation challenge
M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ...
arXiv preprint arXiv:1902.06426, 2019
SD-layer: stain deconvolutional layer for CNNs in medical microscopic imaging
R Duggal, A Gupta, R Gupta, P Mallick
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Overlapping cell nuclei segmentation in microscopic images using deep belief networks
R Duggal, A Gupta, R Gupta, M Wadhwa, C Ahuja
Proceedings of the tenth Indian conference on computer vision, graphics and …, 2016
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images
A Gupta, R Duggal, S Gehlot, R Gupta, A Mangal, L Kumar, N Thakkar, ...
Medical Image Analysis 65, 101788, 2020
Stain color normalization and segmentation of plasma cells in microscopic images as a prelude to development of computer assisted automated disease diagnostic tool in multiple …
R Gupta, P Mallick, R Duggal, A Gupta, O Sharma
Clinical Lymphoma, Myeloma and Leukemia 17 (1), e99, 2017
PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma
A Gupta, P Mallick, O Sharma, R Gupta, R Duggal
PloS one 13 (12), e0207908, 2018
Elf: An early-exiting framework for long-tailed classification
R Duggal, S Freitas, S Dhamnani, DH Chau, J Sun
arXiv preprint arXiv:2006.11979, 2020
P-TELU: Parametric tan hyperbolic linear unit activation for deep neural networks
R Duggal, A Gupta
Proceedings of the IEEE international conference on computer vision …, 2017
Compatibility-aware heterogeneous visual search
R Duggal, H Zhou, S Yang, Y Xiong, W Xia, Z Tu, S Soatto
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Rest: Robust and efficient neural networks for sleep monitoring in the wild
R Duggal, S Freitas, C Xiao, DH Chau, J Sun
Proceedings of The Web Conference 2020, 1704-1714, 2020
MalNet: A Large-Scale Image Database of Malicious Software
S Freitas, R Duggal, DH Chau
arXiv preprint arXiv:2102.01072, 2021
Cup: Cluster pruning for compressing deep neural networks
R Duggal, C Xiao, R Vuduc, DH Chau, J Sun
2021 IEEE International Conference on Big Data (Big Data), 5102-5106, 2021
Neurocartography: Scalable automatic visual summarization of concepts in deep neural networks
H Park, N Das, R Duggal, AP Wright, O Shaikh, F Hohman, DHP Chau
IEEE Transactions on Visualization and Computer Graphics 28 (1), 813-823, 2021
SN-AM dataset: white blood cancer dataset of B-ALL and MM for stain normalization
A Gupta, R Gupta
Cancer Imaging Arch, 2019
Robotic instrument segmentation challenge. arXiv
M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ...
Preprint posted online February 21, 2019, 2017
Har: hardness aware reweighting for imbalanced datasets
R Duggal, S Freitas, S Dhamnani, DH Chau, J Sun
2021 IEEE International Conference on Big Data (Big Data), 735-745, 2021
Robust principles: Architectural design principles for adversarially robust cnns
SY Peng, W Xu, C Cornelius, M Hull, K Li, R Duggal, M Phute, J Martin, ...
arXiv preprint arXiv:2308.16258, 2023
RobArch: Designing Robust Architectures against Adversarial Attacks
SY Peng, W Xu, C Cornelius, K Li, R Duggal, DH Chau, J Martin
arXiv preprint arXiv:2301.03110, 2023
Towards regression-free neural networks for diverse compute platforms
R Duggal, H Zhou, S Yang, J Fang, Y Xiong, W Xia
European Conference on Computer Vision, 598-614, 2022
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
H Park, S Lee, B Hoover, A Wright, O Shaikh, R Duggal, N Das, J Hoffman, ...
arXiv preprint arXiv:2203.16475, 2022
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