Shiba Kuanar

Orcid: 0000-0002-8670-6957

Affiliations:
  • University of Texas at Arlington, TX, USA (PhD 2018)


According to our database1, Shiba Kuanar authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Multi-path dilated convolution network for haze and glow removal in nighttime images.
Vis. Comput., 2022

Gated fusion network for SAO filter and inter frame prediction in Versatile Video Coding.
Signal Process. Image Commun., 2022

2021
Deep learning based HEVC in-loop filter and noise reduction.
Signal Process. Image Commun., 2021

Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image.
CoRR, 2021

Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2019
Adaptive CU Mode Selection in HEVC Intra Prediction: A Deep Learning Approach.
Circuits Syst. Signal Process., 2019

Night Time Haze and Glow Removal using Deep Dilated Convolutional Network.
CoRR, 2019

Low Dose Abdominal CT Image Reconstruction: An Unsupervised Learning Based Approach.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Deep Learning Based HEVC In-Loop Filtering for Decoder Quality Enhancement.
Proceedings of the 2018 Picture Coding Symposium, 2018

Fast Mode Decision In Hevc Intra Prediction, Using Region Wise CNN Feature Classification.
Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

Cognitive Analysis of Working Memory Load from Eeg, by a Deep Recurrent Neural Network.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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