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Rahul Duggal
Rahul Duggal
Amazon (AWS AI)
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Cited by
Year
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
196*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
1072017
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
872016
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
822020
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
642017
MalNet: A large-scale image database of malicious software
S Freitas, R Duggal, DH Chau
Proceedings of the 31st ACM International Conference on Information …, 2022
492022
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
392023
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
392020
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
362018
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
322021
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
322017
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
282021
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
252020
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
212021
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
132021
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
62023
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 e-prints, arXiv: 2203.16475, 2022
42022
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
32022
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network
N Ansari, A Gupta, R Duggal
arXiv preprint arXiv:1612.04966, 2016
32016
IMB-NAS: Neural Architecture Search for Imbalanced Datasets
R Duggal, S Peng, H Zhou, DH Chau
arXiv preprint arXiv:2210.00136, 2022
22022
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