Publications 8 페이지 | 서울대학교AI연구원(AIIS)

RESEARCH

Publications

Total 185건 8 페이지
IEEE Transactions on Cirsuits and Systems for Video Technology 2019

A pseudo-blind convolutional neural network for the reduction of compression artifacts(Yoonsik Kim, Jae Woong Soh, Jaewoo Park, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho) #조남익 교수팀

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ICLR 2019 (표현 학습 국제학회)

Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (Soochan Lee, Junsoo Ha, Gunhee Kim) #김건희 교수팀

Discovery of natural language concepts in individual units (Seil Na, Yo joong Choe, Dong-Hyun Lee, Gunhee Kim) #김건희 교수팀

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AAAI 2019 (국제인공지능학회)

Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information (Seonhoon Kim, Inho Kang and Nojun Kwak) #곽노준 교수팀

Data Augmentation for Spoken Language Understanding via Joint Variational Generation (Kang Min Yoo, Youhyun Shin, and Sang-goo Lee) #이상구 교수팀

Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations (Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee) #이상구 교수팀

Utilizing Class Information for Deep Network Representation Shaping (Daeyoung Choi and Wonjong Rhee) #이원종 교수팀

Subtask Gated Networks for Non-Intrusive Load Monitoring(Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee) #이원종 교수팀

Logistic Regression on Homomorphic Encrypted Data at Scale (Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park) #천정희 교수팀

Associative Variational Auto-encoder with Distributed Latent Spaces and Associators (Dae Ung Jo, ByeongJu Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi) #최진영 교수팀

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AAAI Workshop 2019

Data interpolations in deep generative models under non-simply-connected manifold topology (Jiseob Kim, Byoung-Tak Zhang) #장병탁 교수팀

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AAAI Spring Symposium 2019

Constructing hierarchical Q&A datasets for video story understanding (Yu-Jung Heo, Kyoung-Woon On, Seongho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung-Tak Zhang) #장병탁 교수팀

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ACML 2019 (아시아 머신러닝 학회)

Towards Governing Agent’s Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning (John Yang, Gyujeong Lee, Simyung Chang, Nojun Kwak) #곽노준 교수팀

Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric (Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik) #조명희 교수팀

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ACM Transactions on Graphics 2019

Learning Body Shape Variation in Physics-based Characters (Jungdam won, Jehee Lee) #이제희 교수팀

SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (Sehee Min, Jungdam Won, Seunghwan Lee, Jungnam Park, Jehee Lee) #이제희 교수팀

Learning predict-and-simulate policies from unorganized human motion data (Soohwan Park, Hoseok Ryu, Seyoung Lee, Sunmin Lee, Jehee Lee) #이제희 교수팀

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VRST 2019 (ACM 가상현실 소프트웨어와 기술 회의)

(Best Paper Award) POL360: A Universal Mobile VR Motion Controller using Polarized Light (Hyouk Jang, Juheon Choi(SOCAR) and Gunhee Kim) #김건희 교수팀

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ASPLOS 2019

FA3C: FPGA-Accelerated Deep Reinforcement Learning (Hyungmin Cho, Pyeongseok Oh, Jiyoung Park, Wookeun Jung, Jaejin Lee) #이재진 교수팀

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ATC 2019 (USENIX 연례 기술 컨퍼런스)

Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies (Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Joo Yeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, Byung-Gon Chun) #전병곤 교수팀

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BigData 2019

Data Context Adaptation for Accurate Recommendation with Additional Information (Hyunsik Jeon, Bonhun Koo, U Kang) #강유 교수팀

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CogSci 2019

Problem difficulty in arithmetic cognition: Humans and connectionist models (Sungjae Cho, Jaeseo Lim, Chris Hickey, Byoung-Tak Zhang) #장병탁 교수팀

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EuroSys 2019 (유럽 컴퓨터 시스템 컨퍼런스)

μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization (Youngsok Kim, Joonsung Kim, Dongju Chae, Daehyun Kim, and Jangwoo Kim) #김장우 교수팀

Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks (Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun) #전병곤 교수팀

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ICASSP 2019 (음성·신호처리학회)

Enhancing Music Features by Knowledge Transfer from User-item Log Data (Donmoon Lee, Jaejun Lee, Jeongsoo Park, Kyogu Lee) #이교구 교수팀

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ICCV 2019 (국제컴퓨터비전학회)

Image Translation to Mixed-Domain using Sym-Parameterized Generative Network (Simyung Chang, SeongUk Park, John Yang and Nojun Kwak) #곽노준 교수팀

Better to Follow, Follow to be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection (Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim) #김건희 교수팀

Deep Elastic Networks with Model Selection for Multi-Task Learning (Chanho Ahn, Eunwoo Kim, and Songhwai Oh) #오성회 교수팀

Unsupervised 3D Reconstruction Networks(Geonho Cha, Minsik Lee, Songhwai Oh) #오성회 교수팀

Tag2Pix: Line Art Colorization using Text Tag with SECat and Changing Loss (Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo) #유승주 교수팀

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation (Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon) #윤성로 교수팀

A Comprehensive Overhaul of Feature Distillation (Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi) #최진영 교수팀

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