Showing results 6361 to 6420 of 22820
Deep Convolutional Generative Adversarial Network를 활용한 데이터 합성 및 물체 인식 임준호; 주정우; 김준모, 제 29회 영상처리 및 이해에 관한 워크샵, 한국방송미디어공학회, 2017-02-16 |
Deep convolutional neural network inspired by development of visual acuity in infants Jun, Jaeyoung; Choi, Hyungwon; Park, Jun-Cheol; Jang, Yunhun; Kim, Dae-Shik, Society for Neuroscience Annual Meeting 2015, Society for Neuroscience Annual Meeting 2015, 2015-10-18 |
Deep Cross-Modal Steganography Using Neural Representations Han, Gyojin; Lee, Dong-Jae; Hur, Jiwan; Choi, Jaehyun; Kim, Junmo, 2023 IEEE International Conference on Image Processing (ICIP), IEEE, 2023-10-08 |
Deep Deterministic Policy Gradient 를 이용한 반능동 현가장치 제어 고원식; 장동의, 35회 제어로봇시스템학회 국내학술대회, 제어로봇시스템학회, 2019-05 |
Deep Learning and Computational Models of Human Audio-Visual Pathways (Tutorial) Lee, Soo-Young, International Conference on Intelligent Computing (ICIC2016), Tongji University, China, 2016-08-02 |
Deep Learning and Human Audio-Visual Pathways (Tutorial) Lee, Soo-Young, Deep Learning and Artificial Intelligence Winter School 2018, KMUTT, 2018-02-02 |
Deep Learning Based Breast Cancer Diagnosis Based on Protein Expression Array Data Ji, Dong Jin; Song, YongJoon; Cho, Dong-Ho, IEEE EMBC 2018, IEEE Engineering in Medicine and Biology Society, 2018-07-17 |
Deep Learning Based Speech Emotion Recognition with Max and Average Pooling (only abstract) Choi, Shinkook; Lee, Soo-Young; Shin, Young Hoon, 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2018), Brain Engineering Society of Korea, Peking University, RIKEN CBS-OMRON Collaboration Center, 2018-10-15 |
Deep Learning for Emotion and Top-down Attention (Tutorial) Lee, Soo-Young, Deep Learning and Artificial Intelligence Winter School 2018, KMUTT, 2018-02-03 |
Deep Learning for Emotional IQ (Keynote Talk) Lee, Soo-Young, 2017 Gulf of Mexico Spring School (GMSS): Deep Learning ANN and Applications Workshop, Florida A&M University - Florida State University College of Engineering, 2017-04-15 |
Deep Learning of Speech Features for Improved Phonetic Recognition Lee, JH; Lee Soo-Young, 12th Annual Conference of the International Speech Communication Association (Interspeech 2011), 2011-08-27 |
Deep learning processors for on-device intelligence Yoo, Hoi-Jun, 30th Great Lakes Symposium on VLSI, GLSVLSI 2020, pp.1 - 8, Association for Computing Machinery, 2020-09 |
Deep Learning with Historical Features and Timewise Similarity for Multiple Objects Tracking Tao, Tuan Manh; Lee, Changha; Jeon, Min Su; Youn, Chan-Hyun, The 14th International Conference on ICT Convergence, ICTC 2023, The Korean Institute of Communications and Information Sciences (KICS), 2023-10-12 |
Deep Learning-Based Video Retrieval Using Object Relationships and Associated Audio Classes Kim, Byoungjun; Shim, Ji Yea; Park, Minho; Ro, Yong Man, 26th International Conference on MultiMedia Modeling, MMM 2020, pp.803 - 808, KAIST, Korea Multimedia Society, 2020-01-06 |
Deep Least Squares Regression for Speaker Adaptation Kim, Younggwan; Lim, Hyungjun; Goo, Jahyun; Kim, Hoi-Rin, 18th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2017), pp.729 - 733, International Speech Communication Association (ISCA), 2017-08-21 |
Deep Least Squares Regression-Based Speaker-Dependent Layer Initialization for DNN Acoustic Model Adaptation Kim, Younggwan; Jung, Youngmoon; Choi, Yeunju; Kim, Hoi-Rin, ICCE-Asia, pp.361 - 364, IEEE, IEIE, 2018-06-25 |
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling Choi, Yeunju; Jung, Youngmoon; Kim, Hoi-Rin, Interspeech 2020, pp.1743 - 1747, ISCA, 2020-10-27 |
Deep Neural Network Compression for Image Inpainting Kim, Soyeong; Kim, Do-Yeon; Moon, Jaekyun, International Workshop on Computational Aspects of Deep Learning, CADL2022, ECCV, 2022-10-27 |
Deep Neural Network-based Lumped Circuit Modeling using Impedance Curve Lho, Daehwan; Park, Hyunwook; Kim, Seongguk; Shin, Taein; Kim, Keunwoo; Son, Kyungjune; Kang, Hyungmin; et al, 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020, Institute of Electrical and Electronics Engineers Inc., 2020-12 |
Deep neural networks for gas concentration estimation and the effect of hyperparameter optimization on the estimation performance Jang, Hee-Deok; Park, JaeHyeon; Nam, Hyunwoo; Chang, Dong Eui, 22nd International Conference on Control, Automation and Systems (ICCAS), Institute of Control, Robotics, and Systems (ICROS), 2022-11 |
Deep Objective Assessment Model Based on Spatio-Temporal Perception of 360-Degree Video for VR Sickness Prediction Lee, Sangmin; Kim, Kihyun; Kim, Hak Gu; Park, Minho; Ro, Yong Man, IEEE International Conference on Image Processing (ICIP) 2019, pp.3192 - 3196, IEEE Signal Processing Society, 2019-09-25 |
Deep partial person re-identification via attention model Kim, Junyeong; Yoo, Chang-Dong, 2017 IEEE International Conference on Image Processing (ICIP), IEEE Signal Processing Society, 2017-09-18 |
Deep Partial Person-Reidentification via Attention Model Kim, Junyeong; Yoo, Chang-Dong, IEEE International Conference on Image Processing, IEEE Signal Processing Society, 2017-09-18 |
Deep Pyramidal Residual Networks Kim, Jiwhan; Han, Dongyoon; Kim, Junmo, 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.6307 - 6315, IEEE Computer Society and the Computer Vision Foundation (CVF), 2017-07-25 |
Deep Reinforcement Learning based Autonomous Air-to-Air Combat using Target Trajectory Prediction Yoo, Jaewoong; Kim, Donghwi; Shim, David Hyunchul, 21st International Conference on Control, Automation and Systems, ICCAS 2021, pp.2172 - 2176, IEEE Computer Society, 2021-10 |
Deep reinforcement learning based robot arm manipulation with efficient training data through simulation Xing, Xiaowei; Chang, Dong Eui, 19th International Conference on Control, Automation and Systems (ICCAS), ICROS, 2019-10 |
Deep reinforcement learning for robot arm control through 3D simulation Xing, Xiaowei; 장동의, 35회 제어로봇시스템학회 국내학술대회, 제어로봇시스템학회, 2019-05 |
Deep Reinforcement Learning Framework for Optimal Decoupling Capacitor Placement on General PDN with an Arbitrary Probing Port Kim, Haeyeon; Kim, Joungho; Park, Hyunwook; Choi, Seonguk; Park, Joonsang; Kim, SeongGuk, 30th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2021, IEEE, 2021-10-17 |
Deep Reinforcement Learning on Multi-goal Sparse Reward Environment: A Brief Survey Luu, Tung M.; 유창동, 2019 한국인공지능학회 추계학술대회, 한국인공지능학회, 2019-11-15 |
Deep Reinforcement Learning-based Channel-flexible Equalization Scheme: An Application to High Bandwidth Memory Choi, Seonguk; Kim, Joungho; Park, Hyunwook; Kim, Haeyeon; Park, Joonsang; Son, Keeyoung; Kim, SeongGuk; et al, DesignCon 2022, DesignCon, 2022-04-07 |
Deep Reinforcement Learning-based Intelligent Agent for Autonomous Air Combat Yoo, Jaewoong; Seong, Hyunki; Shim, David Hyunchul; Bae, Jung Ho; Kim, Yong-Duk, 41st IEEE/AIAA Digital Avionics Systems Conference, DASC 2022, Institute of Electrical and Electronics Engineers Inc., 2022-09 |
Deep Reinforcement Learning-based Interconnection Design for 3D X-Point Array Structure Considering Signal Integrity Son, Kyungjune; Kim, Minsu; Park, Hyunwook; Park, Shinyoung; Park, Gap Yeol; Lho, Daewhan; Kim, Seoungguk; et al, 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020, Institute of Electrical and Electronics Engineers Inc., 2020-12 |
Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph Representation Park, Joonsang; Kim, Joungho; Kim, SeongGuk; Son, Keeyoung; Shin, TaeIn; Park, Hyunwook; Choi, Seonguk; et al, 30th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2021, IEEE, 2021-10-17 |
Deep Reinforcement Learning-based through Silicon Via (TSV) Array Design Optimization Method considering Crosstalk Kim, Keunwoo; Park, Hyunwook; Lho, Daehwan; Kim, Minsu; Son, Keeyoung; Son, Kyungjune; Kim, Seongguk; et al, 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020, Institute of Electrical and Electronics Engineers Inc., 2020-12 |
Deep representation of industrial components using simulated images Kim, Seong-Heum; Choe, Gyeongmin; Ahn, Byungtae; Kweon, In-So, 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, pp.2003 - 2010, IEEE Robotics and Automation Society, 2017-07 |
Deep Saliency With Encoded Low Level Distance Map and High Level Features. Lee, Gayoung; Tai, Yu Wing; Kim, Junmo, CVPR 2016 IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society and the Computer Vision Foundation (CVF), 2016-06-27 |
Deep Spiral Convolution Neural Network: A Fully End-to-End Texture Enhanced Multi-scale Super-Resolution Network Park, Sang Hyuk; PARK, HYOUNG WOO; Yoo, Chang-Dong, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications Kim, Soo Ye; Oh, Jihyong; Kim, Munchurl, IEEE/CVF International Conference on Computer Vision (ICCV), pp.3116 - 3125, Computer Vision Foundation, 2019-10-31 |
Deep Stall 회복 제어 시 최적의 모드 전환을 위한 Phase Portrait 및 Control Level Contour 활용 양희돈; 심현철, 2013 춘계학술대회, 한국항공우주학회, 2013-04 |
Deep Submicron MOSFET Modeling for Manufacturing Lee, Kwyro, Semiconductor Manufacturing Technology Workshop, pp.3 - 14, 1994-04 |
Deep Transfer Learning-Based Adaptive Beamforming for Realistic Communication Channels Yang, Hyewon; Jee, Jeongju; Kwon, Girim; Park, Hyuncheol, The 11th International Conference on Information and Communication Technology Convergence, pp.1373 - 1376, The Korean Institute of Communications and Information Sciences, 2020-10-22 |
Deep Video Inpainting Kim, Dahun; Woo, Sanghyun; Kweon, In-So; Lee, Joon-Young, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.5785 - 5794, IEEE Conference on Computer Vision and Pattern Recognition, 2019-06-19 |
Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video Kim, Minsu; Kim, Chae Won; Ro, Yong Man, 37th AAAI Conference on Artificial Intelligence (AAAI 23), Association for the Advancement of Artificial Intelligence, 2023-02-10 |
DeepHiR : Improving High-radix Router Throughput with Deep Hybrid Memory Buffer Microarchitecture Li, Cunlu; Dong, Dezun; Lio, Xiangke; Kim, John Dongjun; Kim, Changhyun, The 33rd ACM International Conference on Supercomputing(ICS), pp.403 - 413, Association for Computing Machinery, 2019-06-27 |
DeepPTZ: Deep Self-Calibration for PTZ Cameras Zhang, Chaoning; Rameau, Francois; Kim, Junsik; Argaw, Dawit Mureja; Bazin, Jean-Charles; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, WACV 2020, pp.1030 - 1038, Winter Conference on Applications of Computer Vision, 2020-03 |
Defect probability of directed self-assembly lithography: fast identification and post-placement optimization Shim, Seongbo; Chung, Woo Hyun; Shin, Youngsoo, 2015 International Conference On Computer Aided Design, pp.404 - 409, ACM SIGDA and IEEE CEDA, 2015-11-03 |
Defect-engineered N-doped graphene for efficient oxygen reduction Bang, Gyeong Sook; Shim, Gi Woong; Jung, Dae Yool; Shin, Gwang Hyuk; Park, Hamin; LEE, JAEEUN; Choi, Sung-Yool, ISE 2017, ISE 2017, 2017-08-30 |
Defending Physical Adversarial Attack on Object Detection via Adversarial Patch-Feature Energy Kim, Taeheon; Yu, Youngjoon; Ro, Yong Man, 30th ACM International Conference on Multimedia (ACMM 2022), Association for Computing Machinery, 2022-10-11 |
Deferred Dropout: An Algorithm-Hardware Co-Design DNN Training Method Provisioning Consistent High Activation Sparsity Park, Kangkyu; Han, Yunki; Kim, Lee-Sup, 40th IEEE/ACM International Conference on Computer Aided Design (ICCAD), IEEE/ACM, 2021-11 |
Deformable Fiber-based Reliable Polymer Light-Emitting Diodes for Wearable Garment Displays Kwon, Seonil; Kim, Hyuncheol; Choi, Seungyeop; Lee, Hoseung; Seo, YoungCheol; Kim, Do-Hong; Park, Byoung-Cheul; et al, IMID 2017, IMID, 2017-08 |
DeFT-AN RT: Real-time Multichannel Speech Enhancement using Dense Frequency-Time Attentive Network and Non-overlapping Synthesis Window Lee, Dong Heon; Choi, Jung-Woo, INTERSPEECH 2023, pp.864 - 868, International Speech Communication Association, 2023-08-21 |
Degrees of freedom of an underlay two-user Gaussian interference channel Shin, Dae Kyu; Choi, Wan, IEEE Asia Pacific Wireless Communication Symposium (APWCS), IEEE, 2011-08-22 |
Degrees of freedom of bursty multiple access channels with a relay Kim, Sung Hyun; Suh, Chang Ho, Proceedings of Allerton Conference on Communication, Control, and Computing, Proceedings of Allerton Conference on Communication, Control, and Computing, 2015-10 |
Degrees of freedom of cooperative MIMO in cellular networks Lee, S.H.; Chung, Sae-Young, 2009 IEEE International Conference on Communications, ICC 2009, IEEE, 2009-06-14 |
Degrees of freedom of multi-source relay networks Jeon, S.W.; Chung, Sae-Young; Jafar, S.A., 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, pp.388 - 393, 123, 2009-09-30 |
Degrees of freedom of the MIMO rank-deficient interference channel with feedback Chae, Sung Ho; Suh, Changho; Chung, Sae-Young, Allerton Conference on Communication, Control, and Computing, UIUC, 2013-10-02 |
Degrees of freedom of uplink-downlink multi-antenna cellular networks Suh, Changho; Jeon, Sang-Woon, IEEE International Symposium on Information Theory, IEEE, 2014-07-02 |
Delay and effective throughput of wireless scheduling in heavy traffic regimes: Vacation model for complexity Yi, Yung; Zhang, J.; Chiang, M., 10th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc'09, pp.55 - 64, ACM Special Interest Group on Mobility of Systems, Users, Data and Computing (SIGMOBILE), 2009-05-18 |
Delay estimation for space-time coded signals over Rayleigh fading channels Lee, S.-M.; Park, Dong-Jo; Kwon, Y.-H., 57th IEEE Semiannual Vehicular Technology Conference (VTC2003), v.57, no.1, pp.709 - 712, 2003-04-22 |
Delay Estimation through Monitoring the Address Buffers of a Shared Buffer Type ATM Switch Sung, Dan Keun; Nam, SY; Lee, JY; Lee, SJ, ICOIN 13, 1999 |
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