Praveen Kumar Pokala

According to our database, Praveen Kumar Pokala authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation.

Praveen Kumar Pokala, Jaya Sai Kiran Patibandla, Naveen Kumar Pandey, Pailla Balakrishna Reddy

CoRR, 2024

2023

Introducing Nonuniform Sparse Proximal Averaging Network for Seismic Reflectivity Inversion.

Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula

IEEE Trans. Computational Imaging, 2023

AQUALLM: Audio Question Answering Data Generation Using Large Language Models.

Swarup Ranjan Behera, Krishna Mohan Injeti, Jaya Sai Kiran Patibandla, Praveen Kumar Pokala, Pailla Balakrishna Reddy

CoRR, 2023

Quantized Proximal Averaging Networks for Compressed Image Recovery.

Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition.

Praveen Kumar Pokala, Raghu Vamshi Hemadri, Chandra Sekhar Seelamantula

IEEE Trans. Pattern Anal. Mach. Intell., 2022

An Ensemble of Proximal Networks for Sparse Coding.

Kartheek Kumar Reddy Nareddy, Swapnil Mache, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Learning Generative Prior with Latent Space Sparsity Constraints.

Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

CoRR, 2021

Quantized Proximal Averaging Network for Analysis Sparse Coding.

Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

CoRR, 2021

NuSPAN: A Proximal Average Network for Nonuniform Sparse Model - Application to Seismic Reflectivity Inversion.

Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula

CoRR, 2021

DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network.

Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula

CoRR, 2021

Sparsity Driven Latent Space Sampling for Generative Prior Based Compressive Sensing.

Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain.

Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the International Conference on Signal Processing and Communications, 2020

Adaptive Weighted Minimax-Concave Penalty Based Dictionary Learning for Brain MR Images.

Praveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Projected Improved Fista And Application To Image Deblurring.

Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the IEEE International Conference on Image Processing, 2020

Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain.

Praveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula

Proceedings of the IEEE International Conference on Image Processing, 2020

Cornet: Composite-Regularized Neural Network For Convolutional Sparse Coding.

Dhruv Jawali, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the IEEE International Conference on Image Processing, 2020

Non-Convex Optimization For Sparse Interferometric Phase Estimation.

Satvik Chemudupati, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the IEEE International Conference on Image Processing, 2020

Confirmnet: Convolutional Firmnet and Application to Image Denoising and Inpainting.

Praveen Kumar Pokala, Prakash Kumar Uttam, Chandra Sekhar Seelamantula

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Iteratively-Reweighted Beamforming For High-Resolution Ultrasound Imaging.

Amol G. Mahurkar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems.

Praveen Kumar Pokala, Amol G. Mahurkar, Chandra Sekhar Seelamantula

Proceedings of the IEEE International Conference on Acoustics, 2019

SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging.

Amol G. Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula

Proceedings of the IEEE International Conference on Acoustics, 2019