SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging. - Amol G. Mahurkar; Praveen Kumar Pokala; Chetan Singh Thakur; Chandra Sekhar Seelamantula (ICASSP, 2019)

FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems. - Praveen Kumar Pokala; Amol G. Mahurkar; Chandra Sekhar Seelamantula (ICASSP, 2019)

Iteratively-Reweighted Beamforming For High-Resolution Ultrasound Imaging. - Amol G. Mahurkar; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ISBI, 2019)

Confirmnet: Convolutional Firmnet and Application to Image Denoising and Inpainting. - Praveen Kumar Pokala; Prakash Kumar Uttam; Chandra Sekhar Seelamantula (ICASSP, 2020)

Non-Convex Optimization For Sparse Interferometric Phase Estimation. - Satvik Chemudupati; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 2020)

Cornet: Composite-Regularized Neural Network For Convolutional Sparse Coding. - Dhruv Jawali; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 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 (ICIP, 2020)

Projected Improved Fista And Application To Image Deblurring. - Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 2020)

Adaptive Weighted Minimax-Concave Penalty Based Dictionary Learning for Brain MR Images. - Praveen Kumar Pokala; Satvik Chemudupati; Chandra Sekhar Seelamantula (ISBI, 2020)

Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain. - Praveen Kumar Pokala; Chandra Sekhar Seelamantula (SPCOM, 2020)

Sparsity Driven Latent Space Sampling for Generative Prior Based Compressive Sensing. - Vinayak Killedar; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICASSP, 2021)

DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network. - Swapnil Mache; Praveen Kumar Pokala; Kusala Rajendran; 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)

Quantized Proximal Averaging Network for Analysis Sparse Coding. - Kartheek Kumar Reddy Nareddy; Mani Madhoolika Bulusu; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CoRR, 2021)

Learning Generative Prior with Latent Space Sparsity Constraints. - Vinayak Killedar; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CoRR, 2021)

An Ensemble of Proximal Networks for Sparse Coding. - Kartheek Kumar Reddy Nareddy; Swapnil Mache; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 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)

Quantized Proximal Averaging Networks for Compressed Image Recovery. - Kartheek Kumar Reddy Nareddy; Mani Madhoolika Bulusu; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CVPR Workshops, 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)

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)

Chitranuvad: Adapting Multi-lingual LLMs for Multimodal Translation. - Shaharukh Khan; Ayush Tarun; Ali Faraz; Palash Kamble; Vivek Dahiya; Praveen Kumar Pokala; Ashish Kulkarni; Chandra Khatri; Abhinav Ravi; Shubham Agarwal (WMT, 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)

Chitrarth: Bridging Vision and Language for a Billion People. - Shaharukh Khan; Ayush Tarun; Abhinav Ravi; Ali Faraz; Praveen Kumar Pokala; Anagha Bhangare; Raja Kolla; Chandra Khatri; Shubham Agarwal (ICASSP, 2025)

Chitrarth: Bridging Vision and Language for a Billion People. - Shaharukh Khan; Ayush Tarun; Abhinav Ravi; Ali Faraz; Akshat Patidar; Praveen Kumar Pokala; Anagha Bhangare; Raja Kolla; Chandra Khatri; Shubham Agarwal (CoRR, 2025)