Kanjar De

40 papers A 1B 2Journal 20Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI.
CoRR
Katinka Becker, Maximilian P. Oppelt, Tobias S. Zech, Martin Seyferth, Sandie Cabon, Vanja Miskovic, Ivan Cimrak, Michal Kozubek, Giuseppe D'Avenio, Ilaria Campioni, Jana Fehr, Kanjar De, Ismail Mahmoudi, Emílio Dolgener Cantú, Laurenz Ottmann, Andreas Klaß, Galaad Altares, Jackie Ma, Alireza Salehi M., Nadine R. Lang-Richter, Tobias Schaeffter, Daniel Schwabe
2025 — conf
Three Countries, Three Continents: AI Medical Device Regulation and Certification Comparison in the US, EU, and South Korea.
BRIDGE/DeCaF@MICCAI
Kanjar De, Alireza Salehi M.
2024 — conf
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.
ECCV Workshops (10)
Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu
2024 J jnl
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.
CoRR
Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu
2024 — conf
An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features.
ICFSP
Rajkumar Saini, Richa Upadhyay, Vibha Gupta, Prakash Chandra Chhipa, Sumit Rakesh, Hamam Mokayed, Kanjar De, Foteini Simistira Liwicki, Debashis Das Chakladar
2024 — conf
Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data.
EMBC
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, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2024 J jnl
Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts.
CoRR
Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki
2024 — conf
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion.
ACCV (8)
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini
2024 J jnl
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion.
CoRR
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini
2024 — conf
Möbius Transform for Mitigating Perspective Distortions in Representation Learning.
ECCV (73)
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah
2024 J jnl
Möbius Transform for Mitigating Perspective Distortions in Representation Learning.
CoRR
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah
2024 — conf
Open-Vocabulary Object Detectors: Robustness Challenges Under Distribution Shifts.
ECCV Workshops (18)
Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki
2023 — conf
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
ICCV (Workshops)
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki
2023 J jnl
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
CoRR
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki
2023 B conf
Functional Knowledge Transfer with Self-supervised Representation Learning.
ICIP
Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023 J jnl
Functional Knowledge Transfer with Self-supervised Representation Learning.
CoRR
Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023 — conf
Investigating pretrained self-supervised vision transformers for reference-based quality assessment.
IQSP
Kanjar De
2023 — conf
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions.
CVPR Workshops
Hamam Mokayed, Amirhossein Nayebiastaneh, Kanjar De, Stergios Sozos, Olle Hagner, Björn Backe
2023 J jnl
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions.
CoRR
Hamam Mokayed, Amirhossein Nayebiastaneh, Kanjar De, Stergios Sozos, Olle Hagner, Björn Backe
2023 J jnl
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models.
CoRR
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, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2022 — conf
Effect of hue shift towards robustness of convolutional neural networks.
Color Imaging: Displaying, Processing, Hardcopy, and Applications
Kanjar De, Marius Pedersen
2022 — conf
Emotions Classification Using EEG in Health Care.
CVMI
Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini
2022 — conf
Exploring Effects of Colour and Image Quality in Semantic Segmentation by Deep Learning Methods.
Image Processing: Algorithms and Systems
Kanjar De
2022 B conf
Presentation Attack Detection in Iris Recognition through Convolution Block Attention Module.
IJCB
Venkat Sai Swarup, Debanjan Sadhya, Vinal Patel, Kanjar De
2021 — conf
Impact of Colour on Robustness of Deep Neural Networks.
ICCVW
Kanjar De, Marius Pedersen
2020 J jnl
Efficient extraction of consistent bit locations from binarized iris features.
Expert Syst. Appl.
Debanjan Sadhya, Kanjar De, Balasubramanian Raman, Partha Pratim Roy
2020 J jnl
Movie Recommendation System Using Sentiment Analysis From Microblogging Data.
IEEE Trans. Comput. Soc. Syst.
Sudhanshu Kumar, Kanjar De, Partha Pratim Roy
2019 J jnl
An intelligent recommendation system using gaze and emotion detection.
Multim. Tools Appl.
Saurabh Jaiswal, Shubham Virmani, Vishal Sethi, Kanjar De, Partha Pratim Roy
2019 J jnl
Development of a clustering based fusion framework for locating the most consistent IrisCodes bits.
Inf. Sci.
Debanjan Sadhya, Kanjar De, Raman Balasubramanian, Partha Pratim Roy
2019 — conf
EAI-NET: Effective and Accurate Iris Segmentation Network.
PReMI (1)
Sanyam Rajpal, Debanjan Sadhya, Kanjar De, Partha Pratim Roy, Balasubramanian Raman
2019 A conf
Zero Shot Learning Based Script Identification in the Wild.
ICDAR
Prateek Keserwani, Kanjar De, Partha Pratim Roy, Umapada Pal
2018 J jnl
A No-Reference Image Quality Measure for Blurred and Compressed Images Using Sparsity Features.
Cogn. Comput.
Kanjar De, V. Masilamani
2018 — conf
Caption-Based Region Extraction in Images.
CVIP (2)
Palash Agrawal, Rahul Yadav, Vikas Yadav, Kanjar De, Partha Pratim Roy
2018 J jnl
Movie Recommendation System using Sentiment Analysis from Microblogging Data.
CoRR
Sudhanshu Kumar, Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy
2018 — conf
Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization.
ACCV (2)
Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy
2018 J jnl
Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization.
CoRR
Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy
2018 J jnl
Tracking Players in Broadcast Sports.
J. Multim. Inf. Syst.
Kandregula Manikanta Sudeep, Voddapally Amarnath, Angoth Rahul Pamaar, Kanjar De, Rajkumar Saini, Partha Pratim Roy
2017 J jnl
Image Quality Assessment for Blurred Images Using Nonsubsampled Contourlet Transform Features.
J. Comput.
Kanjar De, V. Masilamani
2017 J jnl
No-reference image contrast measure using image statistics and random forest.
Multim. Tools Appl.
Kanjar De, V. Masilamani
2013 J jnl
A Spatial Domain Object Separability Based no-Reference Image Quality Measure using mean and variance.
Int. J. Image Graph.
Kanjar De, V. Masilamani