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ORCIDKanjar De
Person information
- affiliation: Indian Institute of Information Technology, Design & Manufacturing, Kancheepuram, Chennai, India
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Journal Articles
- 2020
[j9]Debanjan Sadhya
, Kanjar De, Balasubramanian Raman, Partha Pratim Roy:
Efficient extraction of consistent bit locations from binarized iris features. Expert Syst. Appl. 140 (2020)- [j8]Sudhanshu Kumar, Kanjar De, Partha Pratim Roy:
Movie Recommendation System Using Sentiment Analysis From Microblogging Data. IEEE Trans. Comput. Soc. Syst. 7(4): 915-923 (2020) - 2019
- [j7]Debanjan Sadhya, Kanjar De, Raman Balasubramanian, Partha Pratim Roy:
Development of a clustering based fusion framework for locating the most consistent IrisCodes bits. Inf. Sci. 491: 1-15 (2019) - [j6]Saurabh Jaiswal, Shubham Virmani, Vishal Sethi, Kanjar De, Partha Pratim Roy:
An intelligent recommendation system using gaze and emotion detection. Multim. Tools Appl. 78(11): 14231-14250 (2019) - 2018
- [j5]Kanjar De, V. Masilamani:
A No-Reference Image Quality Measure for Blurred and Compressed Images Using Sparsity Features. Cogn. Comput. 10(6): 980-990 (2018) - [j4]Kandregula Manikanta Sudeep, Voddapally Amarnath, Angoth Rahul Pamaar, Kanjar De, Rajkumar Saini, Partha Pratim Roy:
Tracking Players in Broadcast Sports. J. Multim. Inf. Syst. 5(4): 257-264 (2018) - 2017
- [j3]Kanjar De, V. Masilamani:
Image Quality Assessment for Blurred Images Using Nonsubsampled Contourlet Transform Features. J. Comput. 12(2): 156-164 (2017) - [j2]Kanjar De, V. Masilamani:
No-reference image contrast measure using image statistics and random forest. Multim. Tools Appl. 76(18): 18641-18656 (2017) - 2013
- [j1]Kanjar De, V. Masilamani:
A Spatial Domain Object Separability Based no-Reference Image Quality Measure using mean and variance. Int. J. Image Graph. 13(2) (2013)
Conference and Workshop Papers
- 2024
- [c14]Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah:
Möbius Transform for Mitigating Perspective Distortions in Representation Learning. ECCV (73) 2024: 345-363 - 2023
- [c13]Hamam Mokayed, Amirhossein Nayebiastaneh, Kanjar De, Stergios Sozos, Olle Hagner, Björn Backe:
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions. CVPR Workshops 2023: 5314-5322 - [c12]Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki:
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? ICCV (Workshops) 2023: 4469-4478 - [c11]Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. ICIP 2023: 3339-3343 - [c10]Kanjar De:
Investigating pretrained self-supervised vision transformers for reference-based quality assessment. IQSP 2023: 1-8 - 2022
- [c9]Kanjar De, Marius Pedersen:
Effect of hue shift towards robustness of convolutional neural networks. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2022: 156:1-156:6 - [c8]Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini:
Emotions Classification Using EEG in Health Care. CVMI 2022: 37-49 - [c7]Venkat Sai Swarup, Debanjan Sadhya, Vinal Patel, Kanjar De:
Presentation Attack Detection in Iris Recognition through Convolution Block Attention Module. IJCB 2022: 1-8 - [c6]Kanjar De:
Exploring Effects of Colour and Image Quality in Semantic Segmentation by Deep Learning Methods. Image Processing: Algorithms and Systems 2022: 1-10 - 2021
- [c5]Kanjar De, Marius Pedersen:
Impact of Colour on Robustness of Deep Neural Networks. ICCVW 2021: 21-30 - 2019
- [c4]Prateek Keserwani, Kanjar De, Partha Pratim Roy, Umapada Pal:
Zero Shot Learning Based Script Identification in the Wild. ICDAR 2019: 987-992 - [c3]Sanyam Rajpal, Debanjan Sadhya, Kanjar De, Partha Pratim Roy, Balasubramanian Raman:
EAI-NET: Effective and Accurate Iris Segmentation Network. PReMI (1) 2019: 442-451 - 2018
- [c2]Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy:
Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization. ACCV (2) 2018: 269-283 - [c1]Palash Agrawal, Rahul Yadav, Vikas Yadav, Kanjar De, Partha Pratim Roy:
Caption-Based Region Extraction in Images. CVIP (2) 2018: 27-38
Informal and Other Publications
- 2024
- [i10]Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah:
Möbius Transform for Mitigating Perspective Distortions in Representation Learning. CoRR abs/2405.02296 (2024) - [i9]Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki:
Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts. CoRR abs/2405.14874 (2024) - [i8]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:
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. CoRR abs/2408.11982 (2024) - [i7]Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini:
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion. CoRR abs/2410.03686 (2024) - 2023
- [i6]Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. CoRR abs/2304.01354 (2023) - [i5]Hamam Mokayed, Amirhossein Nayebiastaneh, Kanjar De, Stergios Sozos, Olle Hagner, Björn Backe:
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions. CoRR abs/2304.14466 (2023) - [i4]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:
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. CoRR abs/2306.10854 (2023) - [i3]Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki:
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? CoRR abs/2308.02525 (2023) - 2018
- [i2]Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy:
Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization. CoRR abs/1811.10801 (2018) - [i1]Sudhanshu Kumar, Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy:
Movie Recommendation System using Sentiment Analysis from Microblogging Data. CoRR abs/1811.10804 (2018)
Coauthor Index
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