197 citations · 210 across the 7 of their papers we have counts for
7 papers
Subjective Portrait Region Cropping in Landscape Videos with Temporal Annotation Smoothing
Cheng-Han Lee, Maniratnam Mandal, Neil Birkbeck +3
With the rise of mobile video consumption on diverse handheld display resolutions and orientation modes, altering videos to aspect ratios poses challenges. Static cropping and bord…
Optimum Methods for Quasi-Orthographic Surface Imaging
Maniratnam Mandal
The need for fast, effective and accurate surveys have become increasingly necessary. A major part of the research is supported by photographic surveys which are used for capturing…
Modelling Quasi-Orthographic Captures for Surface Imaging
Maniratnam Mandal, Venkatesh K. Subramanian
Surveillance and surveying are two important applications of empirical research. A major part of terrain modelling is supported by photographic surveys which are used for capturing…
Improving Defensive Distillation using Teacher Assistant
Maniratnam Mandal, Suna Gao
Adversarial attacks pose a significant threat to the security and safety of deep neural networks being applied to modern applications. More specifically, in computer vision-based t…
Analyzing Compression Techniques for Computer Vision
Maniratnam Mandal, Imran Khan
Compressing deep networks is highly desirable for practical use-cases in computer vision applications. Several techniques have been explored in the literature, and research has bee…
Helping Visually Impaired People Take Better Quality Pictures
Maniratnam Mandal, Deepti Ghadiyaram, Danna Gurari +1
Perception-based image analysis technologies can be used to help visually impaired people take better quality pictures by providing automated guidance, thereby empowering them to i…
Patch-VQ: 'Patching Up' the Video Quality Problem
Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram +1
No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications. Efficient and accurate video q…