Sudhakar Kumawat

Orcid: 0000-0002-6057-2276

According to our database1, Sudhakar Kumawat authored at least 16 papers between 2018 and 2024.

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

Timeline

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Links

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Bibliography

2024
Deep Volume Reconstruction from Multi-focus Microscopic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Deep Hardware Modality Fusion for Image Segmentation.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Action Recognition From a Single Coded Image.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

2022
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ShuffleBlock: Shuffle to Regularize Convolutional Neural Networks.
Proceedings of the 27th National Conference on Communications, 2022

Privacy-Preserving Action Recognition via Motion Difference Quantization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks.
CoRR, 2021

2020
Depthwise-STFT Based Separable Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Yoga-82: A New Dataset for Fine-grained Classification of Human Poses.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PlantDoc: A Dataset for Visual Plant Disease Detection.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Exploring Temporal Differences in 3D Convolutional Neural Networks.
CoRR, 2019

Local Phase U-net for Fundus Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2019

LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition From Image Sequences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attentive Spatio-Temporal Representation Learning for Diving Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
A New Constant-size Accountable Ring Signature Scheme Without Random Oracles.
IACR Cryptol. ePrint Arch., 2018


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