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sagacious-cao's Projects

51mcu icon 51mcu

the driver of peripheral for stc51mcu

affordance-net icon affordance-net

AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018

appearance-flow icon appearance-flow

A deep learning framework for synthesizing novel views of objects and scenes

arc_star_ros icon arc_star_ros

Implentation of the Arc* algorithm, described in "Asynchronous Corner Detection and Tracking for Event Cameras in Real Time", Alzugaray & M. Chli, RA-L 2018

arduino-lite icon arduino-lite

Automatically exported from code.google.com/p/arduino-lite

asm icon asm

C# translator of Assembly commands

asmnet icon asmnet

Asm.Net is a assembly emulator which is developed in the language C# Which will also help you develop your programs using the assembler language in the .Net Framework You will also be able to run programs using Asm.Net for emulating programs Soon more information will be shown here, You can also take a look at the source code.

autogpt icon autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

blendedmvs icon blendedmvs

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

coopboard icon coopboard

Mechanical Keyboard by stm32 with usb and bluetooth

ctpn icon ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

davis_tracker icon davis_tracker

Extracts features from usual images and tracks them using events from an "Event-Camera" such as the DAVIS.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dlarm icon dlarm

Dissertation for Computer Science Masters Degree at UFRGS

dvs-panotracking icon dvs-panotracking

This repository accompanies our ICCP 2017 publication "Real-Time Panoramic Tracking for Event Cameras"

event_feature_tracking icon event_feature_tracking

This repo contains MATLAB implementations of the event-based feature tracking methods described in "Event-based Feature Tracking with Probabilistic Data Association" and "Event-based Visual Inertial Odometry".

eventbasedvisualodometry icon eventbasedvisualodometry

Implementation of Event-Based Visual Odometry algorithm - Group project for 16-720 Computer Vision / 16-833 SLAM

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