An end-to-end edge aggregation network for moving object segmentation PW Patil, KM Biradar, A Dudhane, S Murala proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 63 | 2020 |
Varicolored image de-hazing A Dudhane, KM Biradar, PW Patil, P Hambarde, S Murala proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 56 | 2020 |
Challenges in time-stamp aware anomaly detection in traffic videos KM Biradar, A Gupta, M Mandal, SK Vipparthi arXiv preprint arXiv:1906.04574, 2019 | 35 | 2019 |
VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification. Z Zheng, T Ruan, Y Wei, Y Yang CVPR Workshops 2 (3), 2019 | 31 | 2019 |
DEARESt: deep Convolutional aberrant behavior detection in real-world scenarios K Biradar, S Dube, SK Vipparthi 2018 IEEE 13th international conference on industrial and information …, 2018 | 12 | 2018 |
Local Gaussian difference extrema pattern: A new feature extractor for face recognition KM Biradar, V Kesana, KB Rakhonde, A Sahu, AB Gonde, S Murala 2017 Fourth International Conference on Image Information Processing (ICIIP …, 2017 | 7 | 2017 |
RIChEx: A Robust Inter-Frame Change Exposure for Segmenting Moving Objects P Saxena, K Biradar, DK Tyagi, SK Vipparthi 2022 IEEE International Conference on Image Processing (ICIP), 2172-2176, 2022 | | 2022 |
HYPE: CNN Based HYbrid PrEcoding Framework for 5G and Beyond D Sharma, KM Biradar, SK Vipparthi, RB Battula International Conference on Advanced Information Networking and Applications …, 2022 | | 2022 |
MAG-Net: A Memory Augmented Generative Framework for Video Anomaly Detection Using Extrapolation S Dube, K Biradar, SK Vipparthi, DK Tyagi International Conference on Computer Vision and Image Processing, 426-437, 2021 | | 2021 |
An End-to-End edge aggregation network for moving object segmentation KM Biradar, S Murala, A Dudhane, PW Patil | | 2021 |
Varicolored image De-hazing S Murala, A Dudhane, P Patil, P Hambarde, K Biradar | | 2021 |