34 citations · 153 across the 43 of their papers we have counts for
7 papers · 1 filter
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan +1
Every day around the world, interminable terabytes of data are being captured for surveillance purposes. A typical 1-2MP CCTV camera generates around 7-12GB of data per day. Frame-…
Unlimited Dynamic Range Analog-to-Digital Conversion
Adithya Krishna, Sunil Rudresh, Vishal Shaw +3
Analog-to-digital converters (ADCs) provide the link between continuous-time signals and their discrete-time counterparts, and the Shannon-Nyquist sampling theorem provides the mat…
EvAn: Neuromorphic Event-based Anomaly Detection
Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur
Event-based cameras are bio-inspired novel sensors that asynchronously record changes in illumination in the form of events, thus resulting in significant advantages over conventio…
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks
Nazreen P. M., Shantanu Chakrabartty, Chetan Singh Thakur
The new generation of machine learning processors have evolved from multi-core and parallel architectures that were designed to efficiently implement matrix-vector-multiplications…
A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video
Jie, Zhang, Jonathan P. Newman +5
We demonstrated a CMOS imaging system that adapts each pixel's exposure and sampling rate to capture high dynamic range (HDR) videos. The system consist of a custom designed image…
A Compressive Sensing Video dataset using Pixel-wise coded exposure
Sathyaprakash Narayanan, Yeshwanth Bethi, Chetan Singh Thakur
Manifold amount of video data gets generated every minute as we read this document, ranging from surveillance to broadcasting purposes. There are two roadblocks that restrain us fr…
Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines
P. Kumar, A. R. Nair, O. Chatterjee +4
This paper presents a novel framework for designing support vector machines (SVMs), which does not impose restriction on the SVM kernel to be positive-definite and allows the user…