Search Results for author: Tauhidur Rahman

Found 9 papers, 1 papers with code

Spike-based Neuromorphic Computing for Next-Generation Computer Vision

no code implementations15 Oct 2023 Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, Garrett S. Rose

Neuromorphic Computing promises orders of magnitude improvement in energy efficiency compared to traditional von Neumann computing paradigm.

V2CE: Video to Continuous Events Simulator

no code implementations16 Sep 2023 Zhongyang Zhang, Shuyang Cui, Kaidong Chai, Haowen Yu, Subhasis Dasgupta, Upal Mahbub, Tauhidur Rahman

Dynamic Vision Sensor (DVS)-based solutions have recently garnered significant interest across various computer vision tasks, offering notable benefits in terms of dynamic range, temporal resolution, and inference speed.

Temporally Layered Architecture for Adaptive, Distributed and Continuous Control

no code implementations25 Dec 2022 Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence Sejnowski, Hava Siegelmann

Our design is biologically inspired and draws on the architecture of the human brain which executes actions at different timescales depending on the environment's demands.

Continuous Control

Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings

no code implementations3 Dec 2022 Md Farhan Tasnim Oshim, Toral Surti, Stephanie Carreiro, Deepak Ganesan, Suren Jayasuriya, Tauhidur Rahman

Efficient and accurate detection of subtle motion generated from small objects in noisy environments, as needed for vital sign monitoring, is challenging, but can be substantially improved with magnification.

Motion Magnification

Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings

no code implementations19 Mar 2021 Zhongyang Zhang, Zhiyang Xu, Zia Ahmed, Asif Salekin, Tauhidur Rahman

However, one of the fundamental limitations of these approaches is that they are highly dependent on image and camera settings and can only learn to map an input HSI with one specific setting to an output HSI with another.

Hyperspectral Image Super-Resolution Image Super-Resolution +1

Pedestrian Detection in Thermal Images using Saliency Maps

1 code implementation15 Apr 2019 Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman

Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly at daytime.

Pedestrian Detection RGB Salient Object Detection

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