20:07

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

12:50

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22:31

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

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

45:37

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

58:02

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

38:19

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

27:28

NeurIPS 2019 Review / AGIST - 2020.03.17 / Sunghan Lee

15:56

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

31:03

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

18:20

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

38:58

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

28:33

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

35:15

PointNetVLAD / AGIST - 2020.02.18 / Yong Yi Lee

17:20

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

39:49

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

16:53

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

24:59

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

28:06

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

22:39

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

25:49

Temporal Action Localization / AGIST - 2020.01.14 / Dongwoo Koo

35:30

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

11:24

20200107_AGIST_MCI_diagnosis_of_Using_Gait_signal

34:14

20200107_AGIST_Dual-Path RNN theory review

14:19

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

29:50

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

23:28

20191210_AGIST_Fine tuning Complex-yolo_deokyun.jang

28:23

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

21:41

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

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20191126 One Class Classifier - Outlier Detection - Jusung Kang

27:07

20191112 AGIST Augmented Reality with Deep Learning

46:50

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

56:49

20191105 ICCV 2019 후기 및 논문 리뷰

17:34

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

54:48

20191008 AGIST Odometry Techniques Using Deep Learning

25:06

2019.10.01 AGIST 비정형 & 시계열데이터유닛발표 이현일

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

49:43

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

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20190910 Cooperative navigation between UGV and UAV

19:27

CNN-based 6-DOF Object Tracking

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[20190903] Position-aware Graph Neural Networks

35:59

190723 fNIRS with machine learning 2

16:10

(2019.08.06) SqueezeSeg

19:03

190723 [A-GIST] VAE in BCI

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20190709 YOLO: Real-Time Object Detection

39:38

20190730 A GIST Incremental Learning Jusung Kang

41:08

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

15:14

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

15:33

20190723 [AGIST] AVOD발표

01:02:23

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

26:43

2019 07 18 AGIST발표 이현일

37:08

(20190716) CVPR 2019 Review(2)

45:31

20190709 Survey of Deep Learning Based Wireless Communication

01:05:28

20190625 Generative Model in Neural Engineering Field

45:47

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

37:30

[190702] Transformer (attention is all you need)

28:50

[20190618] Link prediction based on Graph Neural Networks_eykim

21:20

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