activity
20182024
most citedMasked Face Recognition for Secure Authentication

149 citations · 263 across the 21 of their papers we have counts for

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Showing cs.ARShow all

7 papers · 1 filter

cs.AR2024

H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations

Zishen Wan, Che-Kai Liu, Mohamed Ibrahim +4

Disentangling attributes of various sensory signals is central to human-like perception and reasoning and a critical task for higher-order cognitive and neuro-symbolic AI systems.…

cs.AR2022

Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge

Ashwin Bhat, Adou Sangbone Assoa, Arijit Raychowdhury

There has been a recent surge in the field of Explainable AI (XAI) which tackles the problem of providing insights into the behavior of black-box machine learning models. Within th…

cs.AR20223 cited

Circuit and System Technologies for Energy-Efficient Edge Robotics

Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury

As we march towards the age of ubiquitous intelligence, we note that AI and intelligence are progressively moving from the cloud to the edge. The success of Edge-AI is pivoted on i…

cs.AR2022

An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems

Qiang Liu, Zishen Wan, Bo Yu +3

Simultaneous Localization and Mapping (SLAM) estimates agents' trajectories and constructs maps, and localization is a fundamental kernel in autonomous machines at all computing sc…

cs.AR20211 cited

iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform

Tian Gao, Zishen Wan, Yuyang Zhang +4

Stereo matching is a critical task for robot navigation and autonomous vehicles, providing the depth estimation of surroundings. Among all stereo matching algorithms, Efficient Lar…

cs.AR20214 cited

An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform

Zishen Wan, Yuyang Zhang, Arijit Raychowdhury +3

In our past few years' of commercial deployment experiences, we identify localization as a critical task in autonomous machine applications, and a great acceleration target. In thi…