본문 영역으로 바로가기

Energize Dongguk

회원가입
로그아웃
알림창
인천무크(i-MOOC) 회원가입
1. 아래 버튼을 클릭해 Office 365 계정 회원가입 진행
2. 인천무크 바로가기 버튼을 클릭하여 i-MOOC에서 로그인

※회원가입에 필요한 Office 365 인증코드는 소속학교 선생님을 통해 확인하실 수 있습니다.

비디오이미지
진행중 영어

(Fall) Deep Learning Design 2020

  • 코스/코스구분

    프로그래밍 / 청강

  • 기관

    donggukUNIV

  • 언어/번역

    English/영어

  • 수강 신청 기간

    2020.08.30 ~ 2020.08.31

  • 강좌 수강 기간

    2020.08.30 ~ 2030.12.29
신청마감

강의 계획서

    1. [Rui Gao] Neural Sampler-Euclidean Point Cloud Auto-Encoder and Sampler_paper

    2. [Xinhao Lyu] Augmented Autoencoders Implicit 3D Orientation Learning for 6D Object Detection_paper

    3. [Hyewon Yoon] Image Style Transfer with Collection Representation Space and Semantic-Guided Reconstruction_students

    4. [Rui Gao] High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization_paper

    5. [Junoh Kim] A Fingerprint Method for Indoor Localization using Autoencoder based Deep Extreme Learning Machine_paper

    6. [Kyuwon Park] A Variational Autoencoder Mixture Model for Online Behavior Recommendation_paper

    7. [Ngo Ba Hung] Deep Clustering with Variational Autoencoder_paper

    8. [Sangchul Woo] Segnet-A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

    9. 이명우

    1. 구여양 Unsupervised Speech Representation Learning Using WaveNet Autoencoders

    2. 김준오교수님 3-D BLE Indoor Localization Based on Denoising Autoencoder_(Junoh Kim)_paper

    3. 우상철 A Hierarchical Autoencoder Learning Model for Path Prediction and Abnormality Detection (Sangchul Woo)_paper

    1. 고서 Denoising Autoencoders for Laser-Based Scan Registration (Rui Gao)_paper

    2. 구여양 Question Unsupervised Speech Representation Learning Using WaveNet Autoencoders

    3. 박규원 Audio Word2vec_Sequence-to-Sequence Autoencoding for Unsupervised Learning of Audio Segmentation and Representation (Kyuwon Park)_paper

    4. 박재현 HDR Image Reconstruction from a Single Exposure using Deep CNNs (Jaehyeon Park)_paper_v1

    5. 오바흥 Image Reconstruction using Pre-Trained Autoencoder on Multimode Fiber Imaging System (Ngo Ba Hung)_paper

    6. 이명우 Saliency-Guided Unsupervised Feature Learning for Scene Classification (Mengyu Li)_paper

    1. 고서 Denoising Autoencoders for Laser-Based Scan Registration (Rui Gao)_paper

    2. 여흔호 Multi-Task Autoencoder Model for Recovering Human Poses (Xinhao Lyu)_paper

    3. 서우 Auto-Encoder based Dimensionality Reduction (Shuyu Li)_paper

    4. 우상철 Siamese Denoising Autoencoders for Joints Trajectories Reconstruction and Robust Gait Recognition (Sangchul Woo)_paper

    1. 고서 Denoising Autoencoders for Laser-Based Scan Registration (Rui Gao)_paper

    2. 여흔호 Multi-Task Autoencoder Model for Recovering Human Poses (Xinhao Lyu)_paper

    3. 이명우 Saliency-Guided Unsupervised Feature Learning for Scene Classification (Mengyu Li)_final

    4. 구여양 Semi-supervised Autoencoders for Speech Emotion Recognition (Lvyang Qiu)_final

    5. 박규원 LLNet-A Deep Autoencoder Approach to Natural Low-light Image Enhancement (Kyuwon Park)_paper

    6. 윤혜원 Image Target Recognition Model of Multi-Channel Structure Convolutional Neural Network Training Automatic Encoder (Hyewon Yoon)_paper

    1. 이명우 Saliency-Guided Unsupervised Feature Learning for Scene Classification (Mengyu Li)_final

    2. 고서 Hierarchy Senoising Recursive Autoencoders for 3D Scene Layout Prediction (Rui Gao)_paper

    3. 구여양 Semi-supervised Autoencoders for Speech Emotion Recognition (Lvyang Qiu)_final

    4. 여흔호 Multi-Task Autoencoder Model for Recovering Human Poses (Xinhao Lyu)_paper

    5. 우상철 A Hierarchical Autoencoder Learning Model for Path Prediction and Abnormality Detection (Sangchul Woo)_paper

    6. 이명우 Image Denoising using Deep Convolutional Autoencoder with Feature Pyramids (Mengyu Li)_paper

    1. 여흔호 Multi-Task Autoencoder Model for Recovering Human Poses (Xinhao Lyu)_paper

    2. 박재현 Multimodal Deep Autoencoder for Human Pose Recovery (Jaehyeon Park)_paper

    3. 오바흥 Improved Techniques for Adversarial Discriminative Domain Adaptation (Ngo Ba Hung)_paper

    4. 윤혜원 Image Target Recognition Model of Multi-Channel Structure Convolutional Neural Network Training Automatic Encoder (Hyewon Yoon)_paper

    5. 김준오

    1. 고서 Team Study

    2. 구여양 Team Study

    3. 박규원 Team Study

    4. 오바흥 Team Study

    5. 우상철 Team Study

    1. 구여양 [Lvyang Qiu] Open Set Audio Classification using Autoencoders Trained on Few Data (Lvyang Qiu)_paper

    2. [Shuyu Li] Stacked Convolutional Denoising Auto-Encoders for Feature Representation (Shuyu Li)

    3. 윤혜원 Image Target Recognition Model of Multi-Channel Structure Convolutional Neural Network Training Automatic Encoder (Hyewon Yoon)_paper

    1. 이명우 Saliency-Guided Unsupervised Feature Learning for Scene Classification (Mengyu Li)_paper

    2. 여흔호 Deep Learning Representation using Autoencoder for 3D Shape Retrieval (Xinhao Lyu)_paper

    3. 이명우 Image Denoising using Deep Convolutional Autoencoder with Feature Pyramids (Mengyu Li)_paper

    4. [Lvyang Qiu] Open Set Audio Classification using Autoencoders Trained on Few Data (Lvyang Qiu)_paper

    5. [Jaehyeon Park] Research on Denoising Sparse Autoencoder_paper

    6. [Ngo Ba Hung] Dual Adversarial Autoencoders for Clustering_paper

    7. [Sangchul Woo] Unsupervised Feature Extraction with Autoencoder Trees_paper

    1. 여흔호 Deep Learning Representation using Autoencoder for 3D Shape Retrieval (Xinhao Lyu)_paper

    2. 구여양 [Lvyang Qiu] Open Set Audio Classification using Autoencoders Trained on Few Data (Lvyang Qiu)_paper

    3. 김준오 Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems (Junoh Kim)_paper

    4. [Kyuwon Park] Staff-line Removal with Selectional Auto-encoders_paper

    5. [Sangchul Woo] Unsupervised Feature Extraction with Autoencoder Trees_paper

    6. [Hyewon Yoon] Image Style Transfer with Collection Representation Space and Semantic-Guided Reconstruction_students

    7. [Mengyu Li] Low-level Structure Feature Extraction for Image Processing via Stacked Sparse Denoising Autoencoder_paper

    1. 여흔호 Deep Learning Representation using Autoencoder for 3D Shape Retrieval (Xinhao Lyu)_paper

    2. [Rui Gao] Neural Sampler-Euclidean Point Cloud Auto-Encoder and Sampler_paper

    3. [Kyuwon Park] Staff-line Removal with Selectional Auto-encoders_paper

    4. [Hyewon Yoon] Image Style Transfer with Collection Representation Space and Semantic-Guided Reconstruction_students

    5. [Sangchul Woo] Segnet-A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation_paper

신청마감
ATMOOC 문의
운영 시간 안내
평일: 10:00 ~ 18:00
이외의 시간은 이메일로 문의부탁드립니다.