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Aishik Konwer
Aishik Konwer
PhD researcher (Computer Science), Stony Brook University USA
Verified email at stonybrook.edu - Homepage
Title
Cited by
Cited by
Year
Script identification in natural scene image and video frames using an attention based convolutional-LSTM network
AK Bhunia, A Konwer, AK Bhunia, A Bhowmick, PP Roy, U Pal
Pattern Recognition 85, 172-184, 2019
1482019
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network
AK Bhunia, A Bhowmick, AK Bhunia, A Konwer, P Banerjee, PP Roy, ...
Pattern Recognition (ICPR), 2018 24th International Conference on, 2018
342018
Staff line Removal using Generative Adversarial Networks
A Konwer, AK Bhunia, A Bhowmick, AK Bhunia, P Banerjee, PP Roy, ...
Pattern Recognition (ICPR), 2018 24th International Conference on, 2018
272018
Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks
AK Bhunia, AK Bhunia, P Banerjee, A Konwer, A Bhowmick, PP Roy, ...
Pattern Recognition (ICPR), 2018 24th International Conference on, 2018
192018
Temporal context matters: Enhancing single image prediction with disease progression representations
A Konwer, X Xu, J Bae, C Chen, P Prasanna
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
132022
Facial micro-expression spotting and recognition using time contrasted feature with visual memory
S Nag, AK Bhunia, A Konwer, PP Roy
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
132019
Convolutional neural network based Face detection
S Mukherjee, S Saha, S Lahiri, A Das, AK Bhunia, A Konwer, ...
2017 1st International Conference on Electronics, Materials Engineering and …, 2017
122017
Enhancing modality-agnostic representations via meta-learning for brain tumor segmentation
A Konwer, X Hu, J Bae, X Xu, C Chen, P Prasanna
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
102023
A New GVF Arrow Pattern for Character Segmentation from Double Line License Plate Images
P Shivakumara, A Konwer, A Bhowmick, V Khare, U Pal, T Lu
Pattern Recognition (ACPR), 2017 4th Asian Conference on, 2017
102017
Predicting COVID-19 lung infiltrate progression on chest radiographs using spatio-temporal LSTM based encoder-decoder network
A Konwer, J Bae, G Singh, R Gattu, S Ali, J Green, T Phatak, A Gupta, ...
Medical Imaging with Deep Learning, 384-398, 2021
92021
Attention-based multi-scale gated recurrent encoder with novel correlation loss for COVID-19 progression prediction
A Konwer, J Bae, G Singh, R Gattu, S Ali, J Green, T Phatak, P Prasanna
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
82021
Clinical outcome prediction in COVID-19 using self-supervised vision transformer representations
A Konwer, P Prasanna
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 47-51, 2022
22022
Xiao Ling Hu
C Li, X Hu, S Abousamra, C Chen, A Konwer, X Xu, J Bae, P Prasanna, ...
22018
MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities
A Konwer, C Chen, P Prasanna
International Workshop on Machine Learning in Medical Imaging, 361-371, 2023
12023
Talbot Self-imaging effect with Bessel beams
A Konwer, A Bhowmick, S Chakraborty, S Sarkar, S Ghosh, ...
2016 IEEE 7th Annual Information Technology, Electronics and Mobile …, 2016
2016
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation—Supplementary Material—
A Konwer, X Hu, J Bae, X Xu, C Chen, P Prasanna
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations—Supplementary Material—
A Konwer, X Xu, J Bae, C Chen, P Prasanna
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