Канал: AGIST

20201110 [A-GIST] Out of Distribution - likelihood approach _ JSKang

20201110 [A-GIST] Out of Distribution - likelihood approach _ JSKang

PV-RCNN paper brief review

PV-RCNN paper brief review

DACON 음성 중첩 데이터 분류 대회 후기/AGIST_2020.09.22/윤상휴

DACON 음성 중첩 데이터 분류 대회 후기/AGIST_2020.09.22/윤상휴

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization (ECCV 2020)

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization (ECCV 2020)

Crowdsourced 3D Mapping: A combined Multi-View Geometry and Self-Supervised Learning Approach

Crowdsourced 3D Mapping: A combined Multi-View Geometry and Self-Supervised Learning Approach

20200630 [A GIST] Out of Distribution detection _ JSKang

20200630 [A GIST] Out of Distribution detection _ JSKang

Deep Multi-modal Object Detection for Autonomous Driving / AGIST - 2020.04.14 / Donghoon Shin

Deep Multi-modal Object Detection for Autonomous Driving / AGIST - 2020.04.14 / Donghoon Shin

Image Matching Challenge 2020 & HardNet Review / AGIST - 2020.03.31 / Dong-Won Shin

Image Matching Challenge 2020 & HardNet Review / AGIST - 2020.03.31 / Dong-Won Shin

Road-Object Semantic Segmentation from Point Clouds / AGIST - 2020.03.24 / Moogab Kim

Road-Object Semantic Segmentation from Point Clouds / AGIST - 2020.03.24 / Moogab Kim

NeurIPS 2019 Review / AGIST - 2020.03.17 / Sunghan Lee

NeurIPS 2019 Review / AGIST - 2020.03.17 / Sunghan Lee

Image conversion and CNN application of timeseries data using RP / AGIST - 2020.03.31 / Hyeonil Lee

Image conversion and CNN application of timeseries data using RP / AGIST - 2020.03.31 / Hyeonil Lee

A Closer Look at Few-shot Classification(Reissued) / AGIST - 2020.03.17 / Jusung Kang

A Closer Look at Few-shot Classification(Reissued) / AGIST - 2020.03.17 / Jusung Kang

WaveGlow:A flow based generative network for speech synthesis / AGIST - 2020.03.24 / Sanghyu Yoon

WaveGlow:A flow based generative network for speech synthesis / AGIST - 2020.03.24 / Sanghyu Yoon

Connect X from Kaggle(Basic & Advanced DQN) / AGIST - 2020.02.18 / Rackhun Son

Connect X from Kaggle(Basic & Advanced DQN) / AGIST - 2020.02.18 / Rackhun Son

Compound reactivity prediction with GCN / AGIST - 2020.02.18 / Eunyoung Kim

Compound reactivity prediction with GCN / AGIST - 2020.02.18 / Eunyoung Kim

PointNetVLAD / AGIST - 2020.02.18 / Yong Yi Lee

PointNetVLAD / AGIST - 2020.02.18 / Yong Yi Lee

ICNet for Real-time Semantic Segmantation / AGIST-2020.02.11 / Jeonggeun Lim

ICNet for Real-time Semantic Segmantation / AGIST-2020.02.11 / Jeonggeun Lim

A Closer Look at Few-shot Classification / AGIST - 2020.02.10 / Jusung Kang

A Closer Look at Few-shot Classification / AGIST - 2020.02.10 / Jusung Kang

What is the Federated Learning ? / AGIST - 2020.02.04 / Junho Song

What is the Federated Learning ? / AGIST - 2020.02.04 / Junho Song

Deep Learning in Time Series Classification and its Applications / AGIST - 2020.02.04 / Minhee Kim

Deep Learning in Time Series Classification and its Applications / AGIST - 2020.02.04 / Minhee Kim

EEG Emotion Recognition Using DGCNN / AGIST - 2020.01.19 / Seungchan Lee

EEG Emotion Recognition Using DGCNN / AGIST - 2020.01.19 / Seungchan Lee

Deep Parametric Continuous CNNs(PCNN) / AGIST - 2020.02.04 / Donghoon Shin

Deep Parametric Continuous CNNs(PCNN) / AGIST - 2020.02.04 / Donghoon Shin

Temporal Action Localization / AGIST - 2020.01.14 / Dongwoo Koo

Temporal Action Localization / AGIST - 2020.01.14 / Dongwoo Koo

20200114_AGIST_Unsupervised Domain Adaptation for 3D Lidar Point Cloud Semantic Segmentation

20200114_AGIST_Unsupervised Domain Adaptation for 3D Lidar Point Cloud Semantic Segmentation

20200107_AGIST_MCI_diagnosis_of_Using_Gait_signal

20200107_AGIST_MCI_diagnosis_of_Using_Gait_signal

20200107_AGIST_Dual-Path RNN theory review

20200107_AGIST_Dual-Path RNN theory review

2019.12.17[A-GIST]Associatively Segmenting Instances and Semantics in Point Clouds

2019.12.17[A-GIST]Associatively Segmenting Instances and Semantics in Point Clouds

(20191217)데이터가 아주 많거나 혹은 너무 적거나(많거나 1편) (발표자: 이종훈)

(20191217)데이터가 아주 많거나 혹은 너무 적거나(많거나 1편) (발표자: 이종훈)

20191210_AGIST_Fine tuning Complex-yolo_deokyun.jang

20191210_AGIST_Fine tuning Complex-yolo_deokyun.jang

[A-GIST R&V] Does Computer Vision Matter for Action?

[A-GIST R&V] Does Computer Vision Matter for Action?

PSPNet: Pyramid Scene Parsing Network - 2019/11/26 A-GIST -

PSPNet: Pyramid Scene Parsing Network - 2019/11/26 A-GIST -

20191126 One Class Classifier - Outlier Detection - Jusung Kang

20191126 One Class Classifier - Outlier Detection - Jusung Kang

20191112 AGIST Augmented Reality with Deep Learning

20191112 AGIST Augmented Reality with Deep Learning

2019/11/12 Active SLAM 소개 및 Deep learning 으로의 응용

2019/11/12 Active SLAM 소개 및 Deep learning 으로의 응용

20191105 ICCV 2019 후기 및 논문 리뷰

20191105 ICCV 2019 후기 및 논문 리뷰

2019.10.08 AGIST- [Vision & Robotics unit] 3D LiDAR Point Cloud Segmentation

2019.10.08 AGIST- [Vision & Robotics unit] 3D LiDAR Point Cloud Segmentation

20191008 AGIST Odometry Techniques Using Deep Learning

20191008 AGIST Odometry Techniques Using Deep Learning

2019.10.01 AGIST 비정형 & 시계열데이터유닛발표 이현일

2019.10.01 AGIST 비정형 & 시계열데이터유닛발표 이현일

20190924 AGIST V&R Kaggle Lyft 3D Object Detection yongyi

20190924 AGIST V&R Kaggle Lyft 3D Object Detection yongyi

20190917 Manifold learning (Isomap, LLE, t SNE, UMAP)

20190917 Manifold learning (Isomap, LLE, t SNE, UMAP)

20190910 Cooperative navigation between UGV and UAV

20190910 Cooperative navigation between UGV and UAV

CNN-based 6-DOF Object Tracking

CNN-based 6-DOF Object Tracking

[20190903] Position-aware Graph Neural Networks

[20190903] Position-aware Graph Neural Networks

190723 fNIRS with machine learning 2

190723 fNIRS with machine learning 2

(2019.08.06) SqueezeSeg

(2019.08.06) SqueezeSeg

190723 [A-GIST] VAE in BCI

190723 [A-GIST] VAE in BCI

20190709 YOLO: Real-Time Object Detection

20190709 YOLO: Real-Time Object Detection

20190730 A GIST Incremental Learning Jusung Kang

20190730 A GIST Incremental Learning Jusung Kang

(20190731)Efficiency in CNN & AutoML (발표자: 이종훈)

(20190731)Efficiency in CNN & AutoML (발표자: 이종훈)

20190723 [A-GIST] R-CNN Fast R-CNN Faster R-CNN

20190723 [A-GIST] R-CNN Fast R-CNN Faster R-CNN

20190723 [AGIST] AVOD발표

20190723 [AGIST] AVOD발표

20190709 How the human eye works for vision, AI in Ophthalmology dongeun Lee

20190709 How the human eye works for vision, AI in Ophthalmology dongeun Lee

2019 07 18 AGIST발표 이현일

2019 07 18 AGIST발표 이현일

(20190716) CVPR 2019 Review(2)

(20190716) CVPR 2019 Review(2)

20190709 Survey of Deep Learning Based Wireless Communication

20190709 Survey of Deep Learning Based Wireless Communication

20190625 Generative Model in Neural Engineering Field

20190625 Generative Model in Neural Engineering Field

20190702 A GIST Deep Reinforcement Learning frameworks for Autonomous Driving Jusung Kang

20190702 A GIST Deep Reinforcement Learning frameworks for Autonomous Driving Jusung Kang

[190702] Transformer (attention is all you need)

[190702] Transformer (attention is all you need)

[20190618] Link prediction based on Graph Neural Networks_eykim

[20190618] Link prediction based on Graph Neural Networks_eykim

2019 06 18 A gist Junho Song //Deep learning model parameter search

2019 06 18 A gist Junho Song //Deep learning model parameter search

20190528 A GIST Outlier Detection method via GAN _ Jusung Kang

20190528 A GIST Outlier Detection method via GAN _ Jusung Kang

0528 VideoSegmentation

0528 VideoSegmentation

(20190521) Quick summary of AutoML (발표자: 이종훈)

(20190521) Quick summary of AutoML (발표자: 이종훈)

20190521 VAE

20190521 VAE

AGIST 20190517 Human Action Recognition

AGIST 20190517 Human Action Recognition

20190514 Deep Recurent Q Learning Jusung Kang

20190514 Deep Recurent Q Learning Jusung Kang

(20190514) Hand Gesture Recognition using depth camera

(20190514) Hand Gesture Recognition using depth camera

[20190507] fNIRS and Machine Learning

[20190507] fNIRS and Machine Learning

20190507 Introduction to RL Jusung Kang

20190507 Introduction to RL Jusung Kang

[20190507] Graph Convolutional Network 소개 (발표자: 김동현)

[20190507] Graph Convolutional Network 소개 (발표자: 김동현)

20190430 AGIST Deep Learning in indoor localization

20190430 AGIST Deep Learning in indoor localization

20190430 Reactive Path Planner (GOSELO) 발표자: 이제홍

20190430 Reactive Path Planner (GOSELO) 발표자: 이제홍

20190430 Wasserstein Gans

20190430 Wasserstein Gans

[190430] RNN 기초 소개 (발표자: 김동현)

[190430] RNN 기초 소개 (발표자: 김동현)

[20190424] Deep learning in Drug Discovery and Development _eykim

[20190424] Deep learning in Drug Discovery and Development _eykim

20190424 A GIST 신동원 발표

20190424 A GIST 신동원 발표

20190416 Monocular Depth Estimation Junho Choi

20190416 Monocular Depth Estimation Junho Choi

20190416_Deep Learning Basic_yongyi lee

20190416_Deep Learning Basic_yongyi lee

20190409 비정형데이터 Adaboost KYW

20190409 비정형데이터 Adaboost KYW

20190409_Machine Learning Basic_yongyi lee

20190409_Machine Learning Basic_yongyi lee

20190322 A GIST 설명회

20190322 A GIST 설명회

20181204 Data Augmentation for 1D 시계열 데이터_김동현

20181204 Data Augmentation for 1D 시계열 데이터_김동현

20190226 모두콘2018리뷰_김동현

20190226 모두콘2018리뷰_김동현

20190115 A GIST Introduction to RL_Jusung Kang

20190115 A GIST Introduction to RL_Jusung Kang

20180807 A GIST Deep Reinforcement Learning_Jusung Kang

20180807 A GIST Deep Reinforcement Learning_Jusung Kang

20180522 A GIST Leaning through experience_Jusung Kang

20180522 A GIST Leaning through experience_Jusung Kang

Semi supervised learning with AE

Semi supervised learning with AE