Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization. - Shirsendu Sukanta Halder; Kanjar De; Partha Pratim Roy 001 (ACCV (2), 2018)

Reconstruction Loss Minimized FCN for Single Image Dehazing. - Shirsendu Sukanta Halder; Sanchayan Santra; Bhabatosh Chanda (CoRR, 2018)

Movie Recommendation System using Sentiment Analysis from Microblogging Data. - Sudhanshu Kumar 002; Shirsendu Sukanta Halder; Kanjar De; Partha Pratim Roy 001 (CoRR, 2018)

Physics-Based Rendering for Improving Robustness to Rain. - Shirsendu Sukanta Halder; Jean-François Lalonde; Raoul de Charette (ICCV, 2019)

MA3: Model Agnostic Adversarial Augmentation for Few Shot learning. - Rohit Jena; Shirsendu Sukanta Halder; Katia P. Sycara (CVPR Workshops, 2020)

Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution. - Ravi Tej Akella; Shirsendu Sukanta Halder; Arunav Pratap Shandeelya; Vinod Pankajakshan (IJCNN, 2020)

MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning. - Rohit Jena; Shirsendu Sukanta Halder; Katia P. Sycara (CoRR, 2020)

Rain Rendering for Evaluating and Improving Robustness to Bad Weather. - Maxime Tremblay; Shirsendu Sukanta Halder; Raoul de Charette; Jean-François Lalonde (Int. J. Comput. Vis., 2021)