most citedAnalyzing Compression Techniques for Computer Vision

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

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…

eess.IV2023

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…

eess.IV2023

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…

cs.CV2023

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…

cs.CV20231 cited

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…

cs.CV2023

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…