Reconstructing a depth map by from two DAVIS and a controlled laser.

A machine learning project to detect gestures using event-based vision

Code for "Lifting Monocular Events to 3D Human Poses" - CVPRw 2021

Classification of event data video

Augmentation of event-based machine learning dataset for image segmentation using noise injection

Time-to-contact map by joint estimation of up-to-scale inverse depth and global motion using a single event camera

An individual project related to denoising for event camera

An event camera dataset for rotational motion related study. See T-RO 2024 paper CMax-SLAM

ROS2 wrapper for iniVation event cameras using dv-processing.

Event batch estimation from adaptive global decay process

Code for the "Learning to Estimate Two Dense Depths from LiDAR and Event Data" article

[CVPR 2024 Highlight] OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies

A general deep learning based event camera data processing toolbox from Institude of Intelligent Vehicle at Tongji Univertsity.

Emulation of event camera data using standard RGB images

Calibration of Dynamic Vision Sensor (event camera) by correcting for lens distortion using OpenCV

A minimal implementation of TimeLens along with custom data for my final project in Computational Photography 15-463 F21

Convert raw event camera data into tradiontial images of the stars

This project is an exploratory exercise on event based cameras data. It aims at enhancing classification model performance in accurately classify pronounced words in lip videos.

Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit o…