4 citations · 4 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…