Shubhobrata Bhattacharya

Orcid: 0000-0001-8547-275X

According to our database1, Shubhobrata Bhattacharya authored at least 15 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
A two-stage algorithm for heterogeneous face recognition using Deep Stacked PCA Descriptor (DSPD) and Coupled Discriminant Neighbourhood Embedding (CDNE).
Neural Comput. Appl., November, 2024

Optic Atrophy Classification from Fundus Images with Few-Shot Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2022
Heterogeneous face quality assessment.
Neural Comput. Appl., 2022

2021
Simplified Face Quality Assessment (SFQA).
Pattern Recognit. Lett., 2021

2020
Multi-directional local adjacency descriptors (MDLAD) for heterogeneous face recognition.
IET Image Process., 2020

Emotional Intensity Estimation using Thermal Images.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Emotion Classification of Facial Thermal Images using Sparse Coded Filters.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
QDF: A face database with varying quality.
Signal Process. Image Commun., 2019

Local Force Pattern (LFP): Descriptor for Heterogeneous Face Recognition.
Pattern Recognit. Lett., 2019

Band selection of hyperspectral image by sparse manifold clustering.
IET Image Process., 2019

Illumination-Invariant Face Recognition by Fusing Thermal and Visual Images via Gradient Transfer.
Proceedings of the Advances in Computer Vision, 2019

2018
Combining Pixel Selection with Covariance Similarity Approach in Hyperspectral Face Recognition.
Proceedings of the IECON 2018, 2018

Grading Tumor Malignancy via Deep Bidirectional LSTM on Graph Manifold Encoded Histopathological Image.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Smart Attendance Monitoring System (SAMS): A Face Recognition Based Attendance System for Classroom Environment.
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018

Graph Manifold Clustering based Band Selection for Hyperspectral Face Recognition.
Proceedings of the 26th European Signal Processing Conference, 2018


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