Pranav Mantini
Pranav Mantini
Research Associate, University of Houston
Verified email at cs.uh.edu - Homepage
Title
Cited by
Cited by
Year
Human trajectory forecasting in indoor environments using geometric context
P Mantini, SK Shah
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014
82014
Understanding How Video Quality Affects Object Detection Algorithms.
M Aqqa, P Mantini, SK Shah
VISIGRAPP (5: VISAPP), 96-104, 2019
52019
Camera Placement Optimization Conditioned on Human Behavior and 3D Geometry
P Mantini, SK Shah
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and …, 2016
52016
A signal detection theory approach for camera tamper detection
P Mantini, SK Shah
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
42017
Person re-identification using geometry constrained human trajectory modeling
P Mantini, SK Shah
2015 IEEE International Symposium on Technologies for Homeland Security (HST …, 2015
32015
Multiple people tracking using contextual trajectory forecasting
P Mantini, SK Shah
2016 IEEE Symposium on Technologies for Homeland Security (HST), 1-6, 2016
22016
Camera Tampering Detection using Generative Reference Model and Deep Learned Features.
P Mantini, SK Shah
VISIGRAPP (5: VISAPP), 85-95, 2019
12019
Enhancing re-identification through contextual trajectory forecasting
P Mantini, SK Shah
Technologies for Homeland Security (HST), 2015 IEEE International Symposium …, 2015
12015
Assessing the Impact of Video Compression on Background Subtraction
P Beniwal, P Mantini, SK Shah
Asian Conference on Pattern Recognition, 105-118, 2019
2019
UHCTD: A Comprehensive Dataset for Camera Tampering Detection
P Mantini, SK Shah
2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019
2019
Contextual Human Trajectory Forecasting within Indoor Environments and Its Applications
P Mantini
2015
Using CUDA for Solar Thermal Plant Computation
P Armstrong, P Mantini, C Nilsson, A Subramanian
2009
CQNN: Convolutional Quadratic Neural Networks
P Mantini, SK Shah
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Articles 1–13