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Uday Kamal
Uday Kamal
Graduate Research Assistant at the Georgia Institute of Technology
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
Automatic traffic sign detection and recognition using SegU-Net and a modified Tversky loss function with L1-constraint
U Kamal, TI Tonmoy, S Das, MK Hasan
IEEE Transactions on Intelligent Transportation Systems 21 (4), 1467-1479, 2019
1182019
DFR-TSD: A deep learning based framework for robust traffic sign detection under challenging weather conditions
S Ahmed, U Kamal, MK Hasan
IEEE Transactions on Intelligent Transportation Systems 23 (6), 5150-5162, 2021
672021
Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet
U Kamal, AM Rafi, R Hoque, M Hasan
MICCAI Thoracic Image Analysis Workshop 2020, 2020
602020
Application of DenseNet in Camera Model Identification and Post-processing Detection
AM Rafi, U Kamal, R Hoque, A Abrar, S Das, R Laganiere, MK Hasan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
592019
RemNet: remnant convolutional neural network for camera model identification
AM Rafi, TI Tonmoy, U Kamal, QMJ Wu, MK Hasan
Neural Computing and Applications 33, 3655-3670, 2021
462021
Hassan
M Ahmed, MN Akram, M Asim, M Aslam
F. ul, Higgins, S., Stöckle, CO, Hoogenboom, G, 384-401, 2016
37*2016
Anatomy-xnet: An anatomy aware convolutional neural network for thoracic disease classification in chest x-rays
U Kamal, M Zunaed, NB Nizam, T Hasan
IEEE Journal of Biomedical and Health Informatics 26 (11), 5518-5528, 2022
302022
DSWE-Net: A deep learning approach for shear wave elastography and lesion segmentation using single push acoustic radiation force
S Ahmed, U Kamal, MK Hasan
Ultrasonics 110, 106283, 2021
292021
A deep learning based framework for robust traffic sign detection under challenging weather conditions., 2021
S Ahmed, U Kamal, MKH DFR-TSD
DOI: https://doi. org/10.1109/TITS, 1-13, 2020
122020
Intelligent Human Counting through Environmental Sensing in Closed Indoor Settings
U Kamal, S Ahmed, TR Toha, N Islam, ABMA Al Islam
Mobile Networks and Applications, 1-17, 2019
112019
Analysis and simulation of interface quality and defect induced variability in MgO spin-transfer torque magnetic RAMs
B Sikder, JH Lim, MA Kumar, A Padovani, M Haverty, U Kamal, ...
IEEE Electron Device Letters 42 (1), 34-37, 2020
82020
Predicting human count through environmental sensing in closed indoor settings
S Ahmed, U Kamal, TR Toha, N Islam, ABMA Al Islam
Proceedings of the 15th EAI International Conference on Mobile and …, 2018
82018
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
U Kamal, S Dash, S Mukhopadhyay
ICLR2023, 2023
62023
LC-Net: Localized Counting Network for extremely dense crowds
TR Toha, NA Al-Nabhan, SI Salim, M Rahaman, U Kamal, ABMA Al Islam
Applied Soft Computing 123, 108930, 2022
42022
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark
P Afshar, A Mohammadi, KN Plataniotis, K Farahani, J Kirby, ...
arXiv preprint arXiv:2201.00458, 2022
42022
Traffic-sign detection and classification under challenging conditions: a deep neural network based approach
U Kamal, S Das, A Abrar, MK Hasan
IEEE video and image processing cup, 2017
42017
SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors
S Sharma, U Kamal, J Tong, T Krishna, S Mukhopadhyay
2023 IEEE SENSORS, 1-4, 2023
32023
A High Performance Computing Architecture for Real-Time Digital Emulation of RF Interactions
M Mukherjee, NM Rahman, C DeLude, J Driscoll, U Kamal, J Woo, J Seo, ...
2023 IEEE Radar Conference (RadarConf23), 1-6, 2023
32023
An algorithm-hardware co-design framework to overcome imperfections of mixed-signal dnn accelerators
P Behnam, U Kamal, S Mukhopadhyay
arXiv preprint arXiv:2208.13896, 2022
32022
FPGA-Based High-Performance Real-Time Emulation of Radar System Using Direct Path Compute Model
X Mao, M Mukherjee, NM Rahman, U Kamal, S Sharma, P Behnam, ...
2023 IEEE/MTT-S International Microwave Symposium-IMS 2023, 419-422, 2023
22023
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