A Spatial Domain Object Separability Based no-Reference Image Quality Measure using mean and variance. - Kanjar De; V. Masilamani (Int. J. Image Graph., 2013)

Image Quality Assessment for Blurred Images Using Nonsubsampled Contourlet Transform Features. - Kanjar De; V. Masilamani (J. Comput., 2017)

No-reference image contrast measure using image statistics and random forest. - Kanjar De; V. Masilamani (Multim. Tools Appl., 2017)

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

Caption-Based Region Extraction in Images. - Palash Agrawal; Rahul Yadav; Vikas Yadav; Kanjar De; Partha Pratim Roy 001 (CVIP (2), 2018)

A No-Reference Image Quality Measure for Blurred and Compressed Images Using Sparsity Features. - Kanjar De; V. Masilamani (Cogn. Comput., 2018)

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

Tracking Players in Broadcast Sports. - Kandregula Manikanta Sudeep; Voddapally Amarnath; Angoth Rahul Pamaar; Kanjar De; Rajkumar Saini; Partha Pratim Roy 001 (J. Multim. Inf. Syst., 2018)

Zero Shot Learning Based Script Identification in the Wild. - Prateek Keserwani; Kanjar De; Partha Pratim Roy 001; Umapada Pal 001 (ICDAR, 2019)

EAI-NET: Effective and Accurate Iris Segmentation Network. - Sanyam Rajpal; Debanjan Sadhya; Kanjar De; Partha Pratim Roy 001; Balasubramanian Raman (PReMI (1), 2019)

Development of a clustering based fusion framework for locating the most consistent IrisCodes bits. - Debanjan Sadhya; Kanjar De; Raman Balasubramanian; Partha Pratim Roy 001 (Inf. Sci., 2019)

An intelligent recommendation system using gaze and emotion detection. - Saurabh Jaiswal; Shubham Virmani; Vishal Sethi; Kanjar De; Partha Pratim Roy 001 (Multim. Tools Appl., 2019)

Efficient extraction of consistent bit locations from binarized iris features. - Debanjan Sadhya; Kanjar De; Balasubramanian Raman; Partha Pratim Roy 001 (Expert Syst. Appl., 2020)

Movie Recommendation System Using Sentiment Analysis From Microblogging Data. - Sudhanshu Kumar 002; Kanjar De; Partha Pratim Roy 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Impact of Colour on Robustness of Deep Neural Networks. - Kanjar De; Marius Pedersen (ICCVW, 2021)

Effect of hue shift towards robustness of convolutional neural networks. - Kanjar De; Marius Pedersen (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2022)

Emotions Classification Using EEG in Health Care. - Sumit Rakesh; Foteini Liwicki; Hamam Mokayed; Richa Upadhyay; Prakash Chandra Chhipa; Vibha Gupta; Kanjar De; György Kovács 001; Dinesh Singh; Rajkumar Saini (CVMI, 2022)

Presentation Attack Detection in Iris Recognition through Convolution Block Attention Module. - Venkat Sai Swarup; Debanjan Sadhya; Vinal Patel; Kanjar De (IJCB, 2022)

Exploring Effects of Colour and Image Quality in Semantic Segmentation by Deep Learning Methods. - Kanjar De (Image Processing: Algorithms and Systems, 2022)

Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions. - Hamam Mokayed; Amirhossein Nayebiastaneh; Kanjar De; Stergios Sozos; Olle Hagner; Björn Backe (CVPR Workshops, 2023)

Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? - Prakash Chandra Chhipa; Johan Rodahl Holmgren; Kanjar De; Rajkumar Saini; Marcus Liwicki (ICCV (Workshops), 2023)

Functional Knowledge Transfer with Self-supervised Representation Learning. - Prakash Chandra Chhipa; Muskaan Chopra; Gopal Mengi; Varun Gupta 005; Richa Upadhyay; Meenakshi Subhash Chippa; Kanjar De; Rajkumar Saini; Seiichi Uchida; Marcus Liwicki (ICIP, 2023)

Investigating pretrained self-supervised vision transformers for reference-based quality assessment. - Kanjar De (IQSP, 2023)

Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. - Holly Wilson; Scott Wellington; Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Nosheen Abid; Sumit Rakesh; Johan Gunnar Eriksson; Oliver Watts; Xi Chen; Mohammad Golbabaee; et al. (CoRR, 2023)

LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion. - Meenakshi Subhash Chippa; Prakash Chandra Chhipa; Kanjar De; Marcus Liwicki; Rajkumar Saini (ACCV (8), 2024)

Möbius Transform for Mitigating Perspective Distortions in Representation Learning. - Prakash Chandra Chhipa; Meenakshi Subhash Chippa; Kanjar De; Rajkumar Saini; Marcus Liwicki; Mubarak Shah (ECCV (73), 2024)

Open-Vocabulary Object Detectors: Robustness Challenges Under Distribution Shifts. - Prakash Chandra Chhipa; Kanjar De; Meenakshi Subhash Chippa; Rajkumar Saini; Marcus Liwicki (ECCV Workshops (18), 2024)

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. - Maksim Smirnov; Aleksandr Gushchin; Anastasia Antsiferova; Dmitriy S. Vatolin; Radu Timofte; Ziheng Jia; Zicheng Zhang; Wei Sun 029; Jiaying Qian; Yuqin Cao; Yinan Sun; Yuxin Zhu; et al. (ECCV Workshops (10), 2024)

Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data. - Scott Wellington; Holly Wilson; Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Nosheen Abid; Sumit Rakesh; Johan Gunnar Eriksson; Oliver Watts; Xi Chen; Damien Coyle; et al. (EMBC, 2024)

An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features. - Rajkumar Saini; Richa Upadhyay; Vibha Gupta; Prakash Chandra Chhipa; Sumit Rakesh; Hamam Mokayed; Kanjar De; Foteini Simistira Liwicki; Debashis Das Chakladar (ICFSP, 2024)

Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts. - Prakash Chandra Chhipa; Kanjar De; Meenakshi Subhash Chippa; Rajkumar Saini; Marcus Liwicki (CoRR, 2024)