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pro vyhledávání: '"Pahwa, Esha"'
Learning to recover clear images from images having a combination of degrading factors is a challenging task. That being said, autonomous surveillance in low visibility conditions caused by high pollution/smoke, poor air quality index, low light, atm
Externí odkaz:
http://arxiv.org/abs/2301.05434
Multi-Scale and U-shaped Networks are widely used in various image restoration problems, including deblurring. Keeping in mind the wide range of applications, we present a comparison of these architectures and their effects on image deblurring. We al
Externí odkaz:
http://arxiv.org/abs/2212.05909
Autor:
Yadav, Santosh Kumar, Luthra, Achleshwar, Pahwa, Esha, Tiwari, Kamlesh, Rathore, Heena, Pandey, Hari Mohan, Corcoran, Peter
Human activity recognition (HAR) using drone-mounted cameras has attracted considerable interest from the computer vision research community in recent years. A robust and efficient HAR system has a pivotal role in fields like video surveillance, crow
Externí odkaz:
http://arxiv.org/abs/2212.03384
Autor:
Yadav, Santosh Kumar, Pahwa, Esha, Luthra, Achleshwar, Tiwari, Kamlesh, Pandey, Hari Mohan, Corcoran, Peter
Drone-camera based human activity recognition (HAR) has received significant attention from the computer vision research community in the past few years. A robust and efficient HAR system has a pivotal role in fields like video surveillance, crowd be
Externí odkaz:
http://arxiv.org/abs/2211.05531
Autor:
Yadav, Santosh Kumar, Luthra, Achleshwar, Pahwa, Esha, Tiwari, Kamlesh, Rathore, Heena, Pandey, Hari Mohan, Corcoran, Peter
Publikováno v:
In Neural Networks February 2023 159:57-69