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Mahesh Sudhakar
Publication Activity (10 Years)
Years Active: 2020-2021
Publications (10 Years): 7
Top Topics
Convolutional Neural Networks
Sampling Algorithm
Sample Size
Multiresolution
Top Venues
CoRR
ICASSP
ICCVW
AAAI
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Publications
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Mahesh Sudhakar
,
Sam Sattarzadeh
,
Konstantinos N. Plataniotis
,
Jongseong Jang
,
Yeonjeong Jeong
,
Hyunwoo Kim
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks.
CoRR
(2021)
Sam Sattarzadeh
,
Mahesh Sudhakar
,
Anthony Lem
,
Shervin Mehryar
,
Konstantinos N. Plataniotis
,
Jongseong Jang
,
Hyunwoo Kim
,
Yeonjeong Jeong
,
Sangmin Lee
,
Kyunghoon Bae
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation.
AAAI
(2021)
Sam Sattarzadeh
,
Mahesh Sudhakar
,
Konstantinos N. Plataniotis
,
Jongseong Jang
,
Yeonjeong Jeong
,
Hyunwoo Kim
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring.
CoRR
(2021)
Sam Sattarzadeh
,
Mahesh Sudhakar
,
Konstantinos N. Plataniotis
,
Jongseong Jang
,
Yeonjeong Jeong
,
Hyunwoo Kim
Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based Scoring.
ICASSP
(2021)
Sam Sattarzadeh
,
Mahesh Sudhakar
,
Konstantinos N. Plataniotis
SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal Recognition.
ICCVW
(2021)
Mahesh Sudhakar
,
Sam Sattarzadeh
,
Konstantinos N. Plataniotis
,
Jongseong Jang
,
Yeonjeong Jeong
,
Hyunwoo Kim
Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks.
ICASSP
(2021)
Sam Sattarzadeh
,
Mahesh Sudhakar
,
Anthony Lem
,
Shervin Mehryar
,
Kostas N. Plataniotis
,
Jongseong Jang
,
Hyunwoo Kim
,
Yeonjeong Jeong
,
Sangmin Lee
,
Kyunghoon Bae
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation.
CoRR
(2020)