Kazuto Nakashima (kazuto1011)

kazuto1011

Geek Repo

Company:Kyushu University

Location:Fukuoka, Japan

Home Page:kazuto1011.github.io

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Kazuto Nakashima's repositories

deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

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svm-pytorch

Linear SVM with PyTorch

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pspnet-pytorch

PyTorch implementation of PSPNet

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dusty-gan

Learning to Drop Points for LiDAR Scan Synthesis (IROS 2021)

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nn-c3d

C3D features + simple MLP

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circular-conv-pytorch

Horizontal circular convolution for panoramic images

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smoothgrad-pytorch

PyTorch implementation of SmoothGrad

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ros-tms-perception

https://github.com/irvs/ros_tms

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fps-c3d-descriptor

C3D feature description for camera stream

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caffe

Caffe: a fast open framework for deep learning.

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Density_aware_Chamfer_Distance

Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)

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lidar_transfer

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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Pose2Seg

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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qmk_firmware

keyboard controller firmware for Atmel AVR and ARM USB families

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ros_tms

It is a service robot system with an informationally structured environment referred to the ROS-TMS. This system enables the integration of various data from distributed sensors, as well as storage of these data in an on-line database and the planning of the service motion of a robot using real-time information about the surroundings. If we want use ROS-TMS, please check the releases information. https://github.com/irvs/ros_tms/releases

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vision

Datasets, Transforms and Models specific to Computer Vision

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