activity
20212025
most citedTechnology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)

4 citations · 4 across the 11 of their papers we have counts for

collaborators

11 papers

eess.IV2025

A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications

Zihan Yin, Subhradip Chakraborty, Ankur Singh +3

Near-tissue computing requires sensor-level processing of high-resolution images, essential for real-time biomedical diagnostics and surgical guidance. To address this need, we int…

cs.AR2024

FPCA: Field-Programmable Pixel Convolutional Array for Extreme-Edge Intelligence

Zihan Yin, Akhilesh Jaiswal

The rapid advancement of neural network applications necessitates hardware that not only accelerates computation but also adapts efficiently to dynamic processing requirements. Whi…

cs.AR2023

A 9 Transistor SRAM Featuring Array-level XOR Parallelism with Secure Data Toggling Operation

Zihan Yin, Annewsha Datta, Shwetha Vijayakumar +2

Security and energy-efficiency are critical for computing applications in general and for edge applications in particular. Digital in-Memory Computing (IMC) in SRAM cells have wide…

eess.IV2023★ 4 cited

Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)

Md Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar +6

The massive amounts of data generated by camera sensors motivate data processing inside pixel arrays, i.e., at the extreme-edge. Several critical developments have fueled recent in…

cs.CV2022

In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision

Gourav Datta, Zeyu Liu, Md Abdullah-Al Kaiser +6

Due to the high activation sparsity and use of accumulates (AC) instead of expensive multiply-and-accumulates (MAC), neuromorphic spiking neural networks (SNNs) have emerged as a p…

cs.CV2022

Enabling ISP-less Low-Power Computer Vision

Gourav Datta, Zeyu Liu, Zihan Yin +3

In order to deploy current computer vision (CV) models on resource-constrained low-power devices, recent works have proposed in-sensor and in-pixel computing approaches that try to…

eess.IV2022

IRIS: Integrated Retinal Functionality in Image Sensors

Zihan Yin, Md Abdullah-Al Kaiser, Lamine Ousmane Camara +5

Neuromorphic image sensors draw inspiration from the biological retina to implement visual computations in electronic hardware. Gain control in phototransduction and temporal diffe…

eess.IV2022

P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking

Gourav Datta, Souvik Kundu, Zihan Yin +11

Today's high resolution, high frame rate cameras in autonomous vehicles generate a large volume of data that needs to be transferred and processed by a downstream processor or mach…

cs.LG2022

P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications

Gourav Datta, Souvik Kundu, Zihan Yin +5

The demand to process vast amounts of data generated from state-of-the-art high resolution cameras has motivated novel energy-efficient on-device AI solutions. Visual data in such…

eess.IV2022

Toward Efficient Hyperspectral Image Processing inside Camera Pixels

Gourav Datta, Zihan Yin, Ajey Jacob +2

Hyperspectral cameras generate a large amount of data due to the presence of hundreds of spectral bands as opposed to only three channels (red, green, and blue) in traditional came…

cs.ET2021

Intrinsic Spike Timing Dependent Plasticity in Stochastic Magnetic Tunnel Junctions Mediated by Heat Dynamics

Humberto Inzunza Velarde, Jheel Nagaria, Zihan Yin +2

The quest for highly efficient cognitive computing has led to extensive research interest for the field of neuromorphic computing. Neuromorphic computing aims to mimic the behavior…