Praveen Kumar Pokala

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Ultrasound Imaging

Matrix Decomposition

Image Deblurring

Top Venues

Publications

Praveen Kumar Pokala, Jaya Sai Kiran Patibandla, Naveen Kumar Pandey, Pailla Balakrishna Reddy
MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation. CoRR (2024)
Swarup Ranjan Behera, Krishna Mohan Injeti, Jaya Sai Kiran Patibandla, Praveen Kumar Pokala, Pailla Balakrishna Reddy
AQUALLM: Audio Question Answering Data Generation Using Large Language Models. CoRR (2023)
Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula
Introducing Nonuniform Sparse Proximal Averaging Network for Seismic Reflectivity Inversion. IEEE Trans. Computational Imaging 9 (2023)
Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Quantized Proximal Averaging Networks for Compressed Image Recovery. CVPR Workshops (2023)
Praveen Kumar Pokala, Raghu Vamshi Hemadri, Chandra Sekhar Seelamantula
Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Kartheek Kumar Reddy Nareddy, Swapnil Mache, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
An Ensemble of Proximal Networks for Sparse Coding. ICIP (2022)
Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model - Application to Seismic Reflectivity Inversion. CoRR (2021)
Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Sparsity Driven Latent Space Sampling for Generative Prior Based Compressive Sensing. ICASSP (2021)
Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network. CoRR (2021)
Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Learning Generative Prior with Latent Space Sparsity Constraints. CoRR (2021)
Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Quantized Proximal Averaging Network for Analysis Sparse Coding. CoRR (2021)
Praveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula
Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain. ICIP (2020)
Praveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula
Adaptive Weighted Minimax-Concave Penalty Based Dictionary Learning for Brain MR Images. ISBI (2020)
Dhruv Jawali, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Cornet: Composite-Regularized Neural Network For Convolutional Sparse Coding. ICIP (2020)
Praveen Kumar Pokala, Prakash Kumar Uttam, Chandra Sekhar Seelamantula
Confirmnet: Convolutional Firmnet and Application to Image Denoising and Inpainting. ICASSP (2020)
Satvik Chemudupati, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Non-Convex Optimization For Sparse Interferometric Phase Estimation. ICIP (2020)
Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain. SPCOM (2020)
Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Projected Improved Fista And Application To Image Deblurring. ICIP (2020)
Amol G. Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula
SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging. ICASSP (2019)
Amol G. Mahurkar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
Iteratively-Reweighted Beamforming For High-Resolution Ultrasound Imaging. ISBI (2019)
Praveen Kumar Pokala, Amol G. Mahurkar, Chandra Sekhar Seelamantula
FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems. ICASSP (2019)