Picture for Deepak Singla

Deepak Singla

A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS

Add code
Jul 29, 2021
Figure 1 for A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS
Figure 2 for A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS
Figure 3 for A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS
Figure 4 for A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS
Viaarxiv icon

A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems

Add code
Jul 21, 2020
Figure 1 for A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Figure 2 for A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Figure 3 for A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Figure 4 for A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Viaarxiv icon

EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors

Add code
May 31, 2020
Figure 1 for EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors
Figure 2 for EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors
Figure 3 for EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors
Figure 4 for EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors
Viaarxiv icon

HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture

Add code
Mar 19, 2020
Figure 1 for HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Figure 2 for HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Figure 3 for HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Figure 4 for HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Viaarxiv icon

A low-power end-to-end hybrid neuromorphic framework for surveillance applications

Add code
Oct 25, 2019
Viaarxiv icon