seungjun45

I Like Engineering. Major Interest: Android, Deep Learning for Activity Recognition, Image Processing.

Pinned Repositories

AI607
Graph Mining and Social Networks!
Language:Python00
AVR_robot
A Robot (Autonomous Driving) building project with Jaeho Hwang (2013. 09 ~ 2014.08). We designed this robot from very basic by ourselves. We used Atmega128 with AVR Studio as Controller & System Supervisor, OpenCV (2.4.8) for Real-time Image Recognition (Stop, Start Sign and Arrow Direction Recognition), and Arduino Uno for Dead Reckoning Algorithm. Additional Sonar sensor and IR sensor are used in our robot. Here we provide source codes and some parts of demo video. Unfortunately, we could not implement SLAM in out robot, since we had no idea about the technique during our undergraduate.
Language:C11
cocoapi
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Language:Jupyter Notebook00
cudnn_tmp
00
GIT-TEST
00
graph-rcnn.pytorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
Language:Python00
image-captioning-bottom-up-top-down
(modified) python3.0 version of bottom-up feature extractor
Language:Python10
Self_Attention_practice
Pytorch implementation of Squeeze_and_Excitation, Bottleneck_Attention_Module, and Convolutional_Block_Attention_Module : for EE898 class, KAIST
Language:Python30
Suspension-Control
My undergraduate research with Professor Hyeongcheol Lee #ecsl.hanyang.ac.kr# (2013.01 ~ 2013.12). Project goal was developing control algorithm for trailing arm suspension in Armored Vehicle. Each trailing arm is controlled by electric motor, where controller outputs are electric signal. I solved this problem with the proposed method "Advanced Adaptive Linear Quadratic controller". Recurdyn (Multi-body Dynamics Simulator) is used for conducting experiment. Here, I provide simulink (MATLAB) file of the proposed controller.
10
Water-Filling
My second year project under advisor Prof. Changick Kim (2015.09~2016.03). The technique is for removing illumination distortions for camera captured document images. Source Code Available
Language:C35 3 48

seungjun45's Repositories

seungjun45/Water-Filling
My second year project under advisor Prof. Changick Kim (2015.09~2016.03). The technique is for removing illumination distortions for camera captured document images. Source Code Available
Language:C35 3 48
seungjun45/Self_Attention_practice
Pytorch implementation of Squeeze_and_Excitation, Bottleneck_Attention_Module, and Convolutional_Block_Attention_Module : for EE898 class, KAIST
Language:Python30
seungjun45/AVR_robot
A Robot (Autonomous Driving) building project with Jaeho Hwang (2013. 09 ~ 2014.08). We designed this robot from very basic by ourselves. We used Atmega128 with AVR Studio as Controller & System Supervisor, OpenCV (2.4.8) for Real-time Image Recognition (Stop, Start Sign and Arrow Direction Recognition), and Arduino Uno for Dead Reckoning Algorithm. Additional Sonar sensor and IR sensor are used in our robot. Here we provide source codes and some parts of demo video. Unfortunately, we could not implement SLAM in out robot, since we had no idea about the technique during our undergraduate.
Language:C11
seungjun45/image-captioning-bottom-up-top-down
(modified) python3.0 version of bottom-up feature extractor
Language:Python10
seungjun45/Suspension-Control
My undergraduate research with Professor Hyeongcheol Lee #ecsl.hanyang.ac.kr# (2013.01 ~ 2013.12). Project goal was developing control algorithm for trailing arm suspension in Armored Vehicle. Each trailing arm is controlled by electric motor, where controller outputs are electric signal. I solved this problem with the proposed method "Advanced Adaptive Linear Quadratic controller". Recurdyn (Multi-body Dynamics Simulator) is used for conducting experiment. Here, I provide simulink (MATLAB) file of the proposed controller.
10
seungjun45/AI607
Graph Mining and Social Networks!
Language:Python00
seungjun45/cocoapi
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Language:Jupyter Notebook00
seungjun45/cudnn_tmp
00
seungjun45/GIT-TEST
00
seungjun45/graph-rcnn.pytorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
Language:Python00
seungjun45/HamGGae
Android App for Realtime Chatting
Language:Java
seungjun45/HBMP
Sentence Embeddings in NLI with Iterative Refinement Encoders
seungjun45/Image-Retargetting
My first year project under advisor Prof. Changick-Kim. Source Code open is not available (project funded by Hancom Company). Paper is published for this project.
Language:GLSL
seungjun45/knowledge-enabled-textual-entailment
Natural Language Inference is fundamental to many Natural Language Processing applications such as semantic search and question answering. The task of NLI has gained significant attention in the recent times due to the release of fairly large scale, challenging datasets. Present approaches that address NLI are largely focused on learning based on the given text in order to classify whether the given premise entails, contradicts, or is neutral to the given hypothesis. On the other hand, techniques for Inference, as a central topic in artificial intelligence, has had knowledge bases playing an important role, in particular for formal reasoning tasks. While, there are many open knowledge bases that comprise of various types of information, their use for natural language inference has not been well explored. In this work, we present a simple technique that can harnesses knowledge bases, provided in the form of a graph, for natural language inference.
seungjun45/mask-faster-rcnn
Mask R-CNN
Language:Jupyter Notebook
seungjun45/MAttNet
MAttNet: Modular Attention Network for Referring Expression Comprehension
Language:Jupyter Notebook
seungjun45/nn
Language:Lua
seungjun45/OPENGL_GAME
FOR MY FUN
Language:C
seungjun45/patchwork
All the Git-it Workshop completers!
Language:HTML
seungjun45/PyTorch-YOLOv3-1
Minimal PyTorch implementation of YOLOv3
Language:Python1
seungjun45/refer
Referring Expression Datasets API
Language:Jupyter Notebook
seungjun45/rnn
Recurrent Neural Network library for Torch7's nn
Language:Lua
seungjun45/RoITransformer_DOTA
seungjun45/SaNA
Individual research with Hasan under advisor Prof. Changick Kim.
seungjun45/SEAL
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
seungjun45/SEQ2SEQ2_KB_KAIST
Language:Python
seungjun45/simsg
Semantic Image Manipulation using Scene Graphs
seungjun45/updown-baseline