Llrnet: A Multiscale Subband Learning Approach for Low Light Image Restoration. - Sameer Malik; Rajiv Soundararajan (ICIP, 2019)

Classification and Prediction Analysis of Diseases and Other Datasets Using Machine Learning. - Junaid Nasir; Alishba Ahsan; Nadeem Sarwar; Wajid Rafique; Sameer Malik; Syed Zeeshan Hussain Shah; Sarousha Nasir; Asma Irshad (INTAP, 2019)

Prediction and Analysis of Sun Shower Using Machine Learning. - Nadeem Sarwar; Junaid Nasir; Syed Zeeshan Hussain Shah; Alishba Ahsan; Sameer Malik; Sarousha Nasir; M. Zafar Iqbal; Asma Irshad (INTAP, 2019)

A Model Learning Approach For Low Light Image Restoration. - Sameer Malik; Rajiv Soundararajan (ICIP, 2020)

A low light natural image statistical model for joint contrast enhancement and denoising. - Sameer Malik; Rajiv Soundararajan (Signal Process. Image Commun., 2021)

Low Light Video Enhancement by Learning on Static Videos with Cross-Frame Attention. - Shivam Chhirolya; Sameer Malik; Rajiv Soundararajan (BMVC, 2022)

Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model. - Vignesh Kannan; Sameer Malik; Rajiv Soundararajan (CoRR, 2022)

Semi-Supervised Learning for Low-light Image Restoration through Quality Assisted Pseudo-Labeling. - Sameer Malik; Rajiv Soundararajan (WACV, 2023)

Quality Assessment of Low-Light Restored Images: A Subjective Study and an Unsupervised Model. - Vignesh Kannan; Sameer Malik; Nithin C. Babu; Rajiv Soundararajan (IEEE Access, 2023)

Appearance-adapter: A Self-supervised Pose-guided Human Image Synthesis Approach. - Sameer Malik; Moyuru Yamada (ICASSP, 2025)

RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph. - Sameer Malik; Moyuru Yamada; Ayush Singh; Dishank Aggarwal (CoRR, 2025)