Research Hub



2023

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation Networks [ACM DL]

Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, Suha Kwak

IEEE International Conference on Robotics and Automation (ICRA)

Human Pose Estimation in Extremely Low-Light Conditions Networks [ACM DL]

Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization Networks [ACM DL]

Kim Sungyeon, Jeong Boseung, Kwak Suha

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Improving Cross-Modal Retrieval With Set of Diverse Embeddings Networks [ACM DL]

Dongwon Kim, Namyup Kim, Suha Kwak

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Leveraging Proxy of Training Data for Test-Time Adaptation [ACM DL]

Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak

IEEE International International Conference on Machine Learning (ICML)

Systematized event-aware learning for multi-object tracking Networks [ACM DL]

Hyemin Lee, Daijin Kim

38th Conference on Uncertainty in Artificial Intelligence

Weight-Based Mask For Domain Adaptation Networks [ACM DL]

E. Lee, I. Kim and D. Kim

2023 IEEE International Conference on Acoustics, Speech and Signal Processing

Anonymization for Skeleton Action Recognition Networks [ACM DL]

Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim

AAAI Conference on Artificial Intelligence (AAAI)

Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations Networks [ACM DL]

Baikjin Jung, Myungji Lee, Jong-Hyeok Lee, Yunsu Kim

The 61st Annual Meeting of the Association for Computational Linguistics

PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM Networks [ACM DL]

Yongwon Shin, Juseong Park, Sungjun Cho, Hyojin Sung

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

Diffusion Probabilistic Models for Structured Node Classification Networks [ACM DL]

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

ICML 2023 Workshop

Efficient k-Center Algorithms for Planar Points in Convex Position Networks [ACM DL]

Jongmin Choi, Jaegun Lee, Hee-Kap Ahn

18th Algorithms and Data Structures Symposium (WADS 2023)

Universal convex covering problems under affine dihedral group actions Networks [ACM DL]

M. K. Jung, S. D. Yoon, H. -K. Ahn, T. Tokuyama

the 35th Canadian Conference on Computational Geometry (CCCG 2023)

Parallel Line Centers with Guaranteed Separation Networks [ACM DL]

Chaeyoon Chung, Taehoon Ahn, Sang Won Bae, Hee-Kap Ahn

the 35th Canadian Conference on Computational Geometry (CCCG 2023)

Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in k2 and Linear in n Networks [ACM DL]

Kyungjin Cho, Eunjin Oh, Seunghyeok Oh

ACM-SIAM Symposium on Discrete Algorithms (SODA 2023)

Faster Algorithms for Cycle Hitting Problems on Disk Graphs [ACM DL]

Shinwoo An, Kyungjin Cho, Eunjin Oh

Algorithms and Data Structures Symposium (WADS 2023)

Algorithms for Computing Maximum Cliques in Hyperbolic Random Graphs [ACM DL]

Eunjin Oh, Seunghyeok Oh

European Symposium on Algoritms (ESA 2023)

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation [ACM DL]

Junsu Cho, Hyun, Dongmin Hyun, Dong won Lim, Cheon, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI’23)

Learning Topology-Specific Experts for Molecular Property Prediction [ACM DL]

Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI’23)

Distillation from Heterogeneous Models for Top-K Recommendation [ACM DL]

SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu

The Web Conference (WWW) 2023

A Closer Look at the Intervention Procedure of Concept Bottleneck Models [ACM DL]

Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

International Conference on Machine Learning (ICML)

Effects of Overparameterization on Sharpness-Aware Minimization: A Preliminary Investigation [ACM DL]

Sungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee

International Conference on Machine Learning (ICML) – Workshop on High-dimensional Learning Dynamics

Semi-supervised Concept Bottleneck Models

Bae Je-eon, Shin Seong-bin, Lee Nam-hoon

International Conference on Machine Learning (ICML) – Workshop on Artificial Intelligence and Human Computer Interaction

Mesh Density Adaptation for Template-based Shape Reconstruction [ACM DL]

Yucheol Jung, Hyomin Kim, Gyeongha Hwang, Seung-Hwan Baek, Seungyong Lee

ACM SIGGRAPH 2023

Relational Context Learning for Human-Object Interaction Detection [ACM DL]

Sanghyun Kim, Deunsol Jung, Minsu Cho

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation [ACM DL]

Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation [ACM DL]

Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

learning Rotation-Equivariant Features for Visual Correspondence [ACM DL]

Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Visuo-haptic Crossmodal Shape Perception Model for Shape-Changing Handheld Controllers Bridged by Inertial Tensor [ACM DL]

Chaeyong Park, Jeongwoo Kim, Seungmoon Choi

ACM Conference on Human Factors in Computing Systems (CHI)

Generating Haptic Motion Effects for Multiple Articulated Bodies for Improved 4D Experiences: A Camera Space Approach [ACM DL]

Sangyoon Han, Jaejun Par, Seungmoon Choi

ACM Conference on Human Factors in Computing Systems (CHI)

Generating Real-Time, Selective, and Multimodal Haptic Effects from Sound for Gaming Experience Enhancement [ACM DL]

Gyeore Yun, Minjae Mun, Jungeun Lee, Dong-Geun Kim, Hong Z Tan, Seungmoon Choi

ACM Conference on Human Factors in Computing Systems (CHI)

Perceptual Simultaneity Between Vibrotactile and Impact Stimuli [ACM DL]

Chaeyong Park, Seungmoon Choi

IEEE World Haptics Conference (WHC’23)

Human Recognition Performance of Simple Spatial Vibrotactile Patterns on the Torso [ACM DL]

Junwoo Kim, Heeyeon Kim, Chaeyong Park, Seungmoon Choi

IEEE World Haptics Conference (WHC’23)

Information Transfer of Full-Body Vibrotactile Stimuli: An Initial Study with One to Three Sequential Vibrations [ACM DL]

Jaejun Park, Junwoo Kim, Sangyoon Han, Chaeyong Park, Junseok Park, Seungmoon Choi

IEEE World Haptics Conference (WHC’23)

Merging Camera and Object Haptic Motion Effects for Improved 4D Experiences [ACM DL]

Jongman Seo, Sunung Mun, Jaebong Lee, Seungmoon Choi

IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark [ACM DL]

International Conference on Management of Data (ACM SIGMOD)

Gas Cost Analysis of Fractional NFT on the Ethereum Blockchain [ACM DL]

Wonseok Choi, Jongsoo Woo, James Won-Ki Hong

1st IEEE International Workshop on Cryptocurrency Exchanges (CryptoEx 2023)

Service Applicable Blockchain-based Self-Sovereign Identity Management System [ACM DL]

Jeongheon Kim, Minji Choi, Chaehyeon Lee, Jongsoo Woo, James Won-Ki Hong

IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2023)

Bitcoin Double-Spending Attack Detection using Graph Neural Network [ACM DL]

Changhoon Kang, Jongsoo Woo, James Won-Ki Hong

IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2023)

A Comprehensive and Quantitative Evaluation Method for Blockchain Protocols [ACM DL]

Chaehyeon Lee, Changhoon Kang, Heeju Ko, Jongsoo Woo, James Won-Ki Hong

IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2023)

Alleviating Crypto Gas War in NFT Launching [ACM DL]

Kyungchan Ko, Taeyeol Jeong, Jongsoo Woo, James Won-Ki Hong

IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2023)

Muno: Improve Video Conferencing Quality with Deep Reinforcement Learning [ACM DL]

Nguyen Van Tu, Kyungchan Ko, Sangwoo Ryu, Sangtae Ha, James Won-Ki Hong

2023 IEEE/IFIP Network Operations and Management Symposium (NOMS 2023)

A Blockchain-based Protocol of Trusted Setup Ceremony for Zeroknowledge Proof [ACM DL]

Chanik Park, Moonhyeon Chung, Donghyeon Ryu

BIOTC 2023 (The 2023 5th Blockchain and Internet of Things Conference)

GConvLoc: WiFi Fingerprinting-Based Indoor Localization using Graph Convolutional Networks [ACM DL]

Dongdeok KIM, Young-Joo SUH

IEICE Transactions on Information and Systems

XLA-NDP: Efficient Scheduling and Code Generation for Deep Learning Model Training on Near-Data Processing Memory [ACM DL]

Jueon Park, Hyojin Sung

IEEE Computer Architecture Letters

Covering convex polygons by two congruent disks [ACM DL]

Jongmin Choi, Dahye Jeong, Hee-Kap Ahn

Computational Geometry: Theory and Applications

Rectangular Partitions of a Rectilinear Polygon [ACM DL]

Hwi Kim, Jaegun Lee, Hee-Kap Ahn

Computational Geometry: Theory and Applications

Intersecting Disks using Two Congruent Disks [ACM DL]

Byeonguk Kang, Jongmin Choi, Hee-Kap Ahn

Computational Geometry: Theory and Applications

Farthest-point Voronoi diagrams in the presence of rectangular obstacles [ACM DL]

Mincheol Kim, Chanyang Seo, Taehoon Ahn, Hee-Kap Ahn

Algorithmica

Linear-Time Approximation Scheme for $k$-Means Clustering of Axis-Parallel Affine Subspaces [ACM DL]

Kyungjin Cho, Eunjin Oh

Computational Geometry

Self-feeding Training Method for Semi-supervised Grammatical Error Correction [ACM DL]

Soonchoul Kwon, Gary Geunbae Lee

Computer Speech and Language

Mesh Density Adaptation for Template-based Shape Reconstruction [ACM DL]

Yucheol Jung, Hyomin Kim, Gyeongha Hwang, Seung-Hwan Baek, Seungyong Lee

SIGGRAPH ’23: ACM SIGGRAPH 2023 Conference Proceedings

Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence [ACM DL]

Juhong Min, Seungwook Kim, Minsu Cho

‘IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Intrinsically Synchronized Flexible Visuo-Haptic Device Operated by Single External Electric Field [ACM DL]

Gilwoon Lee, Chaeyong Park, Doowon Park, Seungmoon Choi, Unyong Jeong

Advanced Optical Materials

Sensory cue integration of visual and vestibular stimuli: a case study for 4D rides [ACM DL]

Jiwan Lee, Sung H. Han, Seungmoon Choi

Springer Virtual Reality

AI-to-Human Actuation: Boosting Unmodified AI’s Robustness by Proactively Inducing Favorable Human Sensing Conditions [ACM DL]

Sungjae Cho, Yoonsu Kim, Jaewoong Jang, Inseok Hwang

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

2022

Dynamic Global Adaptive Routing in High-radix Networks [ACM DL]

Hans Kasan, Gwangsun Kim, Yung Yi, John Kim

The 49th International Symposium on Computer Architecture (ISCA)

DAM-GAN : Image Inpainting using Dynamic Attention Map based on Fake Texture Detection [arxiv]

Dongmin Cha, Daijin Kim

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving [AAAI]

Inhan Kim, Joonyeong Lee, Daijin Kim

Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

A Style-aware Discriminator for Controllable Image Translation [arxiv] [github]

Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Revisiting Image Pyramid Structure for High Resolution Salient Object Detection [arxiv] [github] [github]

Taehun Kim, Kunhee Kim, Joonyeong Lee, Dongmin Cha, Jiho Lee, Daijin Kim

The 16th Asian Conference on Computer Vision (ACCV 2022)

SAC-GAN: Face Image Inpainting with Spatial-aware Attribute Controllable GAN [Open Access] [github]

Dongmin Cha, Taehun Kim, Joonyeong Lee, Daijin Kim

The 16th Asian Conference on Computer Vision (ACCV 2022)

Systematized event-aware learning for multi-object tracking [PMLR]

Hyemin Lee, Daijin Kim

38th Conference on Uncertainty in Artificial Intelligence

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection [arxiv] [github]

Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim

European Conference on Computer Vision (ECCV 2022)

3D Scene Painting via Semantic Image Synthesis [IEEE Xplore]

Jaebong Jeong, Janghun Jo, Sunghyun Cho, Jaesik Park

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Fast Point Transformer [arxiv] [github]

Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Instance-wise Occlusion and Depth Orders in Natural Scenes [arxiv] [github]

Hyunmin Lee, Jaesik Park

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Learning to Assemble Geometric Shapes [arxiv] [github]

Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

31st International Joint Conference on Artificial Intelligence (IJCAI)

CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image [SpringerLink] [github]

Jaewon Kam, Jungeon Kim, Soongjin Kim, Jaesik Park & Seungyong Lee

European Conference on Computer Vision(ECCV)

PointMixer: MLP-Mixer for Point Cloud Understanding [arxiv] [github] [github]

Jaesung Choe, Chunghyun Park, Francois Rameau, Jaesik Park, In So Kweon

European Conference on Computer Vision(ECCV)

Style-Agnostic Reinforcement Learning [arxiv] [github]

Juyong Lee, Seokjun Ahn, Jaesik Park

European Conference on Computer Vision(ECCV)

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning [arxiv] [github]

Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim

Annual Conference on Neural Information Processing Systems (NeurIPS)

Learning Debiased Classifier with Biased Committee [arxiv] [github]

Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

Annual Conference on Neural Information Processing Systems (NeurIPS)

PeRFception: Perception using Radiance Fields [arxiv] [github]

Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

Annual Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track

Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory [arxiv]

Jisung Park, Roknoddin Azizi, Geraldo F. Oliveira, Mohammad Sadrosadati, Rakesh Nadig, David Novo, Juan Gómez-Luna, Myungsuk Kim, Onur Mutlu

Proceedings of the 55th IEEE/ACM International Sympoisum on Microarchitecture (MICRO’22)

Morpheus: Extending the Last Level Cache Capacity in GPU Systems Using Idle GPU Core Resources [arxiv]

Sina Darabi, Mohammad Sadrosadati, Joël Lindegger, Negar Akbarzadeh, Mohammad Hosseini, Jisung Park, Juan Gómez-Luna, Hamid Sarbazi-Azad, Onur Mutlu

Proceedings of the 55th IEEE/ACM International Sympoisum on Microarchitecture (MICRO’22)

STLMC: Robust STL Model Checking of Hybrid Systems Using SMT [SpringerLink]

Geunyeol Yu, Jia Lee & Kyungmin Bae

International Conference on Computer-Aided Verification

Glass Segmentation using Intensity and Spectral Polarization Cues [IEEE Xplore] [github]

Haiyang Mei, Bo Dong, Wen Dong, Jiaxi Yang, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang

Computer Vision and Pattern Recognition (CVPR)

All-photon Polarimetric Time-of-Flight Imaging [arxiv]

Seung-Hwan Baek, Felix Heide

Computer Vision and Pattern Recognition (CVPR)

BigColor: Colorization using a Generative Color Prior for Natural Images [arxiv]

Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho

European Conference on Computer Vision (ECCV) 2022

Dr.3D: Adapting 3D GANs to Artistic Drawings [arxiv]

Wonjoon Jin, Nuri Ryu, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho

ACM SIGGRAPH ASIA 2022

DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains [arxiv] [github]

Seongtae Kim, Kyoungkook Kang, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho

ACM SIGGRAPH ASIA 2022

Differentiable Point-Based Radiance Fields for Efficient View Synthesis [arxiv] [github]

Qiang Zhang, Seung-Hwan Baek, Szymon Rusinkiewicz, Felix Heide

ACM SIGGRAPH ASIA 2022

Obtaining Calibrated Probabilities with Personalized Ranking Models [arxiv] [github]

Wonbin Kweon, SeongKu Kang, Hwanjo Yu

36th AAAI Conference on Artificial Intelligence a virtual Conference

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering [arxiv] [github]

SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu

The Web Conference (WWW) 2022

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters [arxiv]

Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu

The Web Conference (WWW) 2022

Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning [arxiv] [github]

Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu

Annual Meeting of the Association for Computational Linguistics (ACL’22)

A Light Bug Triage Framework for Applying Large Pre-trained Language Model [ACM DL]

Jaehyung Lee , Kisun Han , Hwanjo Yu

The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE’22)

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability [arxiv] [github]

Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu

ACM Conf. Information and Knowledge Management (CIKM’22)

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization [arxiv]

Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu

Conf. Empirical Methods in Natural Language Processing (EMNLP Findings)

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation [arxiv]

Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han

Conf. Empirical Methods in Natural Language Processing (EMNLP Findings)

Reference-based Video Super-Resolution Using Multi-Camera Video Triplets [arxiv] [github]

Junyong Lee, Myeonghee Lee, Sunghyun Cho, Seungyong Lee

IEEE Computer Vision and Pattern Recognition (CVPR), 2022

Deep Deformable 3D Caricatures with Learned Shape Control [arxiv] [github]

Yucheol Jung, Wonjong Jang, Soongjin Kim, Jiaolong Yang, Xin Tong, Seungyong Lee

ACM SIGGRAPH ASIA 2022

Self-Supervised Dehazing Network Using Physical Priors [Open Access]

Gwangjin Ju, Yeongcheol Choi, Donggun Lee, Jee Hyun Paik, Gyeongha Hwang, Seungyong Lee

Proceedings of the Asian Conference on Computer Vision(ACCV2022)

Self-Supervised Equivariant Learning for Oriented Keypoint Detection [arxiv] [github]

Jongmin Lee, Byungjin Kim, Minsu Cho

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Integrative Few-Shot Learning for Classification and Segmentation [arxiv] [github]

Dahyun Kang, Minsu Cho

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Reflection and Rotation Symmetry Detection via Equivariant Learning [arxiv] [github]

Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

TransforMatcher: Match-to-Match Attention for Semantic Correspondence [arxiv] [github]

Seungwook Kim, Juhong Min, Minsu Cho

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Future Transformer for Long-term Action Anticipation [arxiv]

Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Self-Taught Metric Learning without Labels [arxiv]

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Detector-Free Weakly Supervised Group Activity Recognition [arxiv] [github]

Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Autoregressive Image Generation Using Residual Quantization [arxiv] [github]

Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Contrastive Regularization for Semi-Supervised Learning [arxiv]

Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han

CVPR’22 Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU)

Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes [arxiv]

Jungtaek Kim, Seungjin Choi, Minsu Cho

Conference on Uncertainty in Artificial Intelligence (UAI)

Towards Sequence-Level Training for Visual Tracking [arxiv] [github]

Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho

European Conference on Computer Vision (ECCV)

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer [arxiv]

Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

Annual Conference on Neural Information Processing Systems (NeurIPS)

Peripheral Vision Transformer [arxiv] [github]

Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho

Annual Conference on Neural Information Processing Systems (NeurIPS)

Few-Shot Metric Learning: Online Adaptation of Embedding for Retrieval [arxiv]

Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho

Asian Conference on Computer Vision (ACCV)

SeLCA: Self-Supervised Learning of Canonical Axis [Open Review]

Seungwook Kim, Yoonwoo Jeong, Chunghyun Park, Jaesik Park, Minsu Cho

NeurIPS NeurReps Workshop

Vibration-Augmented Buttons: Information Transmission Capacity and Application to Interaction Design [ACM DL]

Chaeyong Park , Jeongwoo Kim , Dong-Geun Kim , Seungjae Oh , Seungmoon Choi

ACM Conference on Human Factors in Computing Systems (CHI)

Adaptive Ensemble Learning-Based Network Resource Workload Prediction for VNF Lifecycle Management [IEEE Xplore]

Khizar Abbas, Jae-Hyoung Yoo, James Won-Ki Hong

The 23nd Asia-Pacific Network Operations and Management Symposium (APNOMS 2022)

Updating VNF Deployment with Scaling Actions Using Reinforcement Algorithms [IEEE Xplore]

Namjin Seo, DongNyeong Heo, Jibum Hong, Hee-Gon Kim, Jae-Hyoung Yoo, James Won-Ki Hong, Heevoul Choi

The 23nd Asia-Pacific Network Operations and Management Symposium (APNOMS 2022)

An Analysis of Crypto Gas Wars in Ethereum [IEEE Xplore]

Kyungchan Ko, Taeyeol Jeong, Jongsoo Woo, James Won-Ki Hong

The 23nd Asia-Pacific Network Operations and Management Symposium (APNOMS 2022)

Stabilizing Deep Reinforcement Learning Model Training for Video Conferencing [IEEE Xplore]

Sangwoo Ryu, Kyungchan Ko, James Won-Ki Hong

The 23nd Asia-Pacific Network Operations and Management Symposium (APNOMS 2022)

SleepGuru: Personalized Sleep Planning System for Real-life Actionability and Negotiability [ACM DL]

Jungeun Lee , Sungnam Kim , Minki Cheon , Hyojin Ju , JaeEun Lee , Inseok Hwang

ACM UIST 2022

Demonstrating SleepGuru: Personalized Sleep Planning System for Real-life Actionability and Negotiability [ACM DL]

Jungeun Lee , Hyojin Ju , Sungnam Kim , Minki Cheon , JaeEun Lee , Inseok Hwang

ACM UIST 2022 Adjunct

TouchVR: A Modality for Instant VR Experience [ACM DL]

Sungjae Cho , Jungeun Lee , Inseok Hwang

ACM UIST 2022 Adjunct

Hivemind: IoT-based democratization of shared devices in a public space: demo [ACM DL]

Wonjung Kim , Seungchul Lee , Youngjae Chang , Taegyeong Lee , Seongwoong Kang , Inseok Hwang , Junehwa Song

ACM MobiHoc ’22

Deep Point Cloud Reconstruction [arxiv]

Jaesung Choe, Byeongin Joung, Francois Rameau, Jaesik Park, In So Kweon

International Conference on Learning Representations (ICLR)

Head Movement-aware MPEG-DASH SRD-based 360° Video VR Streaming System over Wireless Network [IEEE Xplore]

Seunggyu Ji, Seunghwan Lee, Giseok Park, Hwangjun Song

IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

Improving Style Randomization via Domain-specific Feature Reweighting for Domain Generalization [IEEE Xplore]

Jiho Lee, Kunhee Kim, Taehun Kim, Daijin Kim

2022 30th European Signal Processing Conference (EUSIPCO)

HTTP Adaptive Streaming System Maximizing Overall Video Quality over SDN-enabled Wi-Fi Aps [IEEE Xplore]

Hyunmin Noh, Gi Seok Park, Yunmin Go, Hwangjun Song

IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation [arxiv] [github]

Jeongbeen Yoon, Dahyun Kang, Minsu Cho

IEEE Winter Conference on Applications of Computer Vision (WACV)

Perception of Electrostatic Friction Stimuli in Free Surface Exploration [IEEE Xplore]

Yongjae Yoo, Jongho Lim, Hanseul Cho, Seungmoon Choi

IEEE Haptics Symposium 2022

A Preliminary Study on the Perceptual Independence Between Vibrotactile and Thermal Senses [SpringerLink]

Jaejun Park, Jeongwoo Kim, Chaeyong Park, Seungjae Oh, Junseok Park & Seungmoon Choi

EuroHaptics 2022

Design of Blockchain-based Travel Rule Compliance System [arxiv]

Chaehyeon Lee, Changhoon Kang, Wonseok Choi, Jehoon Lee, Myunghun Cha, Jongsoo Woo, James Won-Ki Hong

IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2022)

DeTRM: Decentralised Trust and Reputation Management for Blockchain-based Supply Chains [arxiv]

Guntur Dharma Putra, Changhoon Kang, Salil S. Kanhere, James Won-Ki Hong

IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2022)

CODE: Blockchain-based Travel Rule Compliance System [IEEE Xplore]

Chaehyeon Lee, Changhoon Kang, Wonseok Choi, Myunghun Cha, Jongsoo Woo, James Won-Ki Hong

The 5th IEEE International Conference on Blockchain (Blockchain 2022)

VM Failure Prediction with Log Analysis using BERT-CNN Model [IEEE Xplore]

Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong

18th International Conference on Network and Service Management (CNSM 2022)

An Extension of HybridSynchAADL and Its Application to Collaborating Autonomous UAVs [SpringerLink]

Jaehun Lee, Kyungmin Bae & Peter Csaba Ölveczky

International Symposium on Leveraging Applications of Formal Methods

Bounded Model Checking of PLC ST Programs using Rewriting Modulo SMT [ACM DL]

Jaeseo Lee , Sangki Kim , Kyungmin Bae

International Workshop on Formal Techniques for Safety-Critical Systems

Symbolic Reachability Analysis of Distributed Systems using Narrowing and Heuristic Search [ACM DL]

Byeongjee Kang , Kyungmin Bae

International Workshop on Formal Techniques for Safety-Critical Systems(FTSCS 2022)

Rewriting Logic Semantics and Symbolic Analysis for Parametric Timed Automata [ACM DL]

Jaime Arias , Kyungmin Bae , Carlos Olarte , Peter Csaba Ölveczky , Laure Petrucci , Fredrik Rømming

International Workshop on Formal Techniques for Safety-Critical Systems(FTSCS 2022)

Overcoming Memory Capacity Wall of GPUs with Heterogeneous Memory Stack [IEEE Xplore]

Jeongmin Hong, Sungjun Cho, Gwangsun Kim

IEEE Computer Architecture Letters

A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset [MDPI]

Mohammad Farhad Bulbul*, Amin Ullah, Hazrat Ali, Daijin Kim*

Sensors

Fuzzing with automatically controlled interleavings to detect concurrency bugs [ScienceDirect]

Youngjoo Ko, Bin Zhu, Jong Kim

Journal of Systems and Software

Defending against attacks tailored to transfer learning via feature distancing [ScienceDirect]

Sangwoo Ji, Namgyu Park, Dongbin Na, Bin Zhu, Jong Kim

Computer Vision and Image Understanding

LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction [ACM DL]

Hyomin Kim, Hyeonseo Nam, Jungeon Kim, Jaesik Park, Seungyong Lee

ACM Transactions on Graphics (TOG)

TextureMe: High-Quality Textured Scene Reconstruction in Real Time [ACM DL]

Jungeon Kim, Hyomin Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee

ACM Transactions on Graphics (TOG)

Modeling and formal analysis of virtually synchronous cyber-physical systems in AADL [SpringerLink]

Jaehun Lee, Kyungmin Bae, Peter Csaba Ölveczky, Sharon Kim & Minseok Kang

International Journal on Software Tools for Technology Transfer (STTT)

Pupil-aware Holography [arxiv]

Praneeth Chakravarthula, Seung-Hwan Baek, Florian Schiffers, Ethan Tseng, Grace Kuo, Andrew Maimone, Nathan Matsuda, Oliver Cossairt, Douglas Lanman, Felix Heide

ACM Transactions on Graphics (TOG)

Quick Block Transport System for Scalable Hyperledger Fabric Blockchain over D2D-assisted 5G Networks [IEEE Xplore]

Ryeong Hwan Kim, Hyunmin Noh, Hwangjun Song, Gi Seok Park

Institute of Electrical and Electronics Engineers (IEEE)

Collaborative Virtual 3D Object Modeling for Mobile Augmented Reality Streaming Services over 5G Networks [IEEE Xplore]

Gi Seok Park, Ryeong Hwan Kim, Hwangjun Song

Institute of Electrical and Electronics Engineers (IEEE)

The Maximum-Level Vertex in an Arrangement of Lines [arxiv]

Dan Halperin, Sariel Har-Peled, Kurt Mehlhorn, Eunjin Oh, Micha Sharir

Discrete & Computational Geometry (DCG)

Reachability Problems for Transmission Graphs [arxiv]

Shinwoo An, Eunjin Oh

Algorithmica

Personalized Knowledge Distillation for Recommender System [ScienceDirect]

SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu

Knowledge-Based Systems

Mitigating viewpoint sensitivity of self-supervised one-class classifiers [ScienceDirect]

Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu

Information Sciences

NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits [SpringerLink]

Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son & Holger Winnemöller

Computational Visual Media

Real-Time Video Deblurring via Lightweight Motion Compensation [arxiv] [github]

Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee

Computer Graphics Forum

The design of an inkjet drive waveform using machine learning [scientific reports]

Seongju Kim, Minsu Cho & Sungjune Jung

Scientific Reports

Perceived Intensity Model of Dual-Frequency Superimposed Vibration [IEEE Xplore]

Yongjae Yoo, Inwook Hwang, Seungmoon Choi

Institute of Electrical and Electronics Engineers (IEEE)

Omnidirectional Tactile Profiling Using a Deformable Pressure Sensor Array Based on Localized Piezoresistivity [Wiley Online Library]

Jaehyun Kim, Doowon Park, Sungmin Moon, Chaeyong Park, Kaliannan Thiyagarajan, Seungmoon Choi, Heeseon Hwang, Unyong Jeong

Advanced Materials Technologies

Data-Driven Rendering of Motion Effects for Walking Sensations in Different Gaits [IEEE Xplore]

Hyoseung Lee, Seungjae Oh, Seungmoon Choi

Institute of Electrical and Electronics Engineers (IEEE)

Small‐Sized Deformable Shear Sensor Array for Direct Monitoring of Quantitative Shear Distribution [Wiley Online Library]

Wonjeong Suh, Chaeyong Park, Joosung Oh, Sungmin Moon, Seungmoon Choi, Youn Soo Kim, Unyong Jeong

Advanced Materials Technologies

Special Issue on the 2021 Ubiquitous Robots Conference [SpringerLink]

Dongjun Lee, Seungmoon Choi, Euntai Kim, Jinhyun Kim & Dongheui Lee

Intelligent Service Robotics

Prediction of Specific Anxiety Symptoms and VR Sickness Based on In-Situ Autonomic Physiological Signals during VR Treatment in Patients with Social Anxiety Disorder: Mixed-Methods Study [PubMed]

Joo Young Chun*, Hyun-Jin Kim*, Ji-Won Hur, Dooyoung Jung, Heon-Jeong Lee, Seung Pil Pack, Sungkil Lee, Gerard Kim, Chung-Yean Cho, Seung-Moo Lee, Hyeri Lee, Seungmoon Choi, Taesu Cheong, Chul-Hyun Cho

JMIR Serious Games (JSG)

Emotion-interactive empathetic transparent skin cushion with tailored frequency-dependent hydrogel–plasticized nonionic polyvinyl chloride interconnections [ScienceDirect]

Dong-Soo Choi*, Jin Woo Bae, Seok-Han Lee, Jin Ho Song, Da Wan Kim, Seungmoon Choi, Changhyun Pang, Sang-Youn Kim

Chemical Engineering Journal

Motion Effects: Perceptual Space and Synthesis for Specific Perceptual Properties [IEEE Xplore]

Sangyoon Han, Jiwan Lee, Gyeore Yun, Sung H. Han, Seungmoon Choi

Institute of Electrical and Electronics Engineers (IEEE)

Data-Driven Haptic Modeling and Rendering of Viscoelastic Behavior Using Fractional Derivatives [IEEE Xplore]

Hojun Cha, Amit Bhardwaj, Seungmoon Choi

Institute of Electrical and Electronics Engineers (IEEE)

RNN-EdgeQL: An Auto-Scaling and Placement Approach for SFC [Wiley Online Library]

Suman Pandey, Minji Choi, Jae-Hyoung Yoo, James Won-Ki Hong

International Journal of Network Management

Autonomous DRL-based energy efficient VM consolidation for cloud data centers [ScienceDirect]

Khizar Abbas, Jibum Hong, Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong

Physical Communication

2021

HybridSynchAADL: Modeling and Formal Analysis of Virtually Synchronous CPSs in AADL [arxiv] [github]

Jaehun Lee, Sharon Kim, Kyungmin Bae, Peter Ölveczky

International Conference on Computer-Aided Verification (CAV)

Embedding Transfer with Label Relaxation for Improved Metric Learning [arxiv] [github]

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

On the Distribution of Penultimate Activations of Classification Networks [arxiv]

Minkyo Seo*, Yoonho Lee*, Suha Kwak

The Conference on Uncertainty in Artificial Intelligence (UAI 2021)

ACN: Occlusion-tolerant Face Alignment by Attentional Combination of Heterogeneous Regression Networks [arxiv]

Hyunsung Park, Daijin Kim

Pattern Recognition

STAD: Stable Video Depth Estimation [arxiv] [github]

Hyunmin Lee, Jaesik Park

The 28th IEEE International Conference on Image Processing (2021)

Self-Calibrating Neural Radiance Fields [arxiv] [github]

Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

2021 International Conference on Computer Vision

Deep Hough Voting for Robust Global Registration [arxiv]

Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park

2021 International Conference on Computer Vision

Deep Virtual Markers for Articulated 3D Shapes [arxiv] [github]

Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee

2021 International Conference on Computer Vision

Recycling Sampling Timing Offset of Wi-Fi for Estimating Multiple ToFs of Superimposed Signal [arxiv]

Jaegook Lee, Jio Gim, Young Deok Park, Young-Joo Suh

IEEE Communications Letters

FDCR: A Full-Duplex Collision Resolution Scheme for Next-Generation Wireless LAN [arxiv]

Hyeongwoo Jo, Hyeongtae Ahn, Eunhyun Kim, Young-Joo Suh

IEEE Communications Letters

Progressive Mesh-based HTTP Adaptive Augmented Reality Streaming System [arxiv]

Hyunmin Noh, Giseok Park, Hwangjun Song

IEEE 46th Conference on Local Computer Networks (LCN) 2021

Shortest Rectilinear Path Queries to Rectangles in a Rectangular Domain [arxiv]

Mincheol Kim, Sang Duk Yoon, Hee-kap Ahn

COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS

Largest triangles in a polygon [arxiv]

Seungjun Lee, Taekang Eom, Hee-kap Ahn

COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS

Efficient planar two-center algorithms [arxiv]

Jongmin Choi, Hee-kap Ahn

COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS

Maximum-area and maximum-perimeter rectangles in polygons [arxiv]

Yujin Choi, Seungjun Lee, Hee-kap Ahn

COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS

Rearranging a Sequence of Points onto a Line [arxiv]

Taehoon Ahn, Jongmin Choi, Chaeyoon Chung, Hee-kap Ahn, Sang Won Bae, Sang Duk Yoon

33rd Canadian Conference on Computational Geometry (CCCG 2021)

Intersecting Disks Using Two Congruent Disks [arxiv]

Byeonguk Kang, Jongmin Choi, Hee-kap Ahn

32nd International Workshop on Combinatorial Algorithms (IWOCA 2021)

Covering Convex Polygons by Two Congruent Disks [arxiv]

Jongmin Choi, Dahye Jeong, Hee-kap Ahn

32nd International Workshop on Combinatorial Algorithms (IWOCA 2021)

Intersecting Disks using Two Congruent Disks [arxiv]

Byeonguk Kang, Jongmin Choi, Hee-kap Ahn

37th European Workshop on Computational Geometry

Shortest Rectilinear Path Queries to Rectangles in a Rectangular Domain [arxiv]

Mincheol Kim, Sang Duk Yoon, Hee-kap Ahn

14th Latin American Theoretical Information Symposium

Reachability Problems for Transmission Graphs [arxiv]

Shinwoo An, Eunjin Oh

Workshop on Algorithms and Data Structures (WADS 2021)

Gradient Inversion with Generative Image Prior [arxiv]

Jinwoo Jeon*, Jaechang Kim*, Kangwook Lee, Sewoong Oh, and Jungseul Ok

International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021

Learnable Dynamic Temporal Pooling for Time Series Classification [arxiv] [github]

Dongha Lee, Seonghyeon Lee, Hwanjo Yu

Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI’21)

Bidirectional Distillation for Top-K Recommender System [arxiv] [github]

Wonbin Kweon, SeongKu Kang, Hwanjo Yu

The Web Conference (WWW’21)

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation [arxiv] [github]

Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu

The Web Conference (WWW’21)

Unsupervised Proxy Selection for Session-based Recommender Systems [arxiv] [github]

Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21)

Bootstrapping User and Item Representations for One-Class Collaborative Filtering [arxiv] [github]

Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21)

Out-of-manifold Regularization in Contextual Embedding Space for Text Classification [arxiv] [github]

Seonghyeon Lee, Dongha Lee, Hwanjo Yu

Annual Meeting of the Association for Computational Linguistics (ACL’21)

Topology Distillation for Recommender System [arxiv] [github]

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’21)

StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation [arxiv] [github]

Wonjong Jang, Gwangjin Ju, Yucheol Jung, Jiaolong Yang, Xin Tong, Seungyong Lee

ACM Transaction on Graphics (SIGGRAPH 2021)

Recurrent Vidoe Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes [arxiv] [github]

Hyeongseok Son, Junyong Lee, Jonhyeop Lee, Sunghyun Cho, Seungyong Lee

ACM Transaction on Graphics

Spatiotemporal Texture Reconstruction for Dynamic ObjectsUsing a Single RGB-D Camera [arxiv] [github]

Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee

42nd Annual Conference of the European Association for Computer Graphics (EuroGraphics)

Iterative Filter Adaptive Network for Single Image Defocus Deblurring [arxiv] [github]

Junyong Lee, Hyeongseok Son, Jaesung Rim, Sunghyun Cho, Seungyong Lee

Conference on Computer Vision and Pattern Recognition (CVPR 2021)

Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions [arxiv] [github]

Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee

International Conference on Computer Vision (ICCV 2021)

Deep Virtual Markers for Articulated 3D Shapes [arxiv] [github]

Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee

International Conference on Computer Vision (ICCV 2021)

GAN Inversion for Out-of-Range Images with Geometric Transformations [arxiv]

Kyoungkook Kang, Seongtae Kim, Sunghyun Cho

International Conference on Computer Vision (ICCV 2021)

Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation [arxiv]

WonKee Lee, Baikjin Jung, Jaehun Shin, Jong-Hyeok Lee

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Exploration of Effective Attention Strategies for Neural Automatic Post-editing with Transformer [arxiv]

Jaehun Shin, Wonkee Lee, Byung-Hyun Go, Baikjin Jung, Youngkil Kim, Jong-Hyeok Lee

ACM Transactions on Asian and Low-Resource Language Information Processing

Gated dynamic convolutions with deep layer fusion for abstractive document summarization [arxiv]

Hongseok Kwon, Byung-Hyun Go, Juhong Park, Wonkee Lee, Yewon Jeong, Jong-Hyeok Lee

COMPUTER SPEECH AND LANGUAGE

Tag Assisted Neural Machine Translation of Film Subtitles [arxiv]

Aren Siekmeier, 이원기, 권홍석, 이종혁

Proceedings of the 18th International Conference on Spoken Language Translation

Transformer-based Screenplay Summarization Using Augmented Learning Representation with Dialogue Information [arxiv]

이명지, 권홍석, 신재훈, 이원기, 정백진, 이종혁

Proceedings of the Third Workshop on Narrative Understanding

감성 정보를 활용한 자동 각본 요약 [arxiv]

이명지, 권홍석, 신재훈, 이종혁

한국컴퓨터종합학술대회 논문집

N-gram 사용량 조절을 통한 딥러닝 기반 Chit-chat 대화시스템의 Generic한 응답 생성 제어 [arxiv]

오재영, 방지수, 신재훈, 이종혁

한국컴퓨터종합학술대회 논문집

다중 인코더 구조를 활용한 기계번역 품질 예측 [arxiv]

허담, 이원기, 신재훈, 권홍석, 이종혁

한국컴퓨터종합학술대회 논문집

Improving Subtitle Translation with Automatic Named Entity Recognition [arxiv]

Aren Siekmeier, 이종혁

한국컴퓨터종합학술대회 논문집

BERT를 활용한 크로스도메인 슬롯 채우기 [arxiv]

허성환,이원기,이종혁

한국컴퓨터종합학술대회 논문집

Relational Embedding for Few-Shot Classification [arxiv] [github]

Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho

International Conference on Computer Vision (ICCV) 2021

Learning to Discover Reflection Symmetry via Polar Matching Convolution [arxiv] [github]

Ahyun Seo, Woohyeon Shim, Minsu Cho

International Conference on Computer Vision (ICCV) 2021

Deep Hough Voting for Robust Global Registration [arxiv] [github]

Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park

International Conference on Computer Vision (ICCV) 2021

Hypercorrelation Squeeze for Few-Shot Segmentation [arxiv] [github]

Juhong Min, Dahyun Kang, Minsu Cho

International Conference on Computer Vision (ICCV) 2021

Self-Calibrating Neural Radiance Fields [arxiv] [github]

Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

International Conference on Computer Vision (ICCV) 2021

Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition [arxiv] [github]

Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho

International Conference on Computer Vision (ICCV) 2021

Improving Viewing Experiences of First-Person Shooter Gameplays with Automatically-Generated Motion Effects [arxiv]

Gyeore Yun, Hyoseung Lee, Sangyoon Han, and Seungmoon Choi

Conference on Human Factors in Computing Systems (CHI)

Length Perception Model for Handheld Controllers: The Effects of Diameter and Inertia [arxiv]

Chaeyong Park, Jinsoo Kim, and Seungmoon Choi

IEEE Transactions on Haptics (ToH)

Driving Skill Modeling Using Neural Networks for Performance-Based Haptic Assistance [arxiv]

Hojin Lee, Hyoungkyun Kim, and Seungmoon Choi

IEEE Transactions on Human-Machine Systems

Camera Space Synthesis of Motion Effects Emphasizing a Moving Object in 4D films [arxiv]

Sangyoon Han, Gyeore Yun, and Seungmoon Choi

IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR)

Virtual Reality–Based Psychotherapy in Social Anxiety Disorder: fMRI Study Using a Self-Referential Task [arxiv]

Ji-Won Hur, Hyemin Shin, Dooyoung Jung, Heon-Jeong Lee, Sungkil Lee, Gerard J. Kim, Chung-Yean Cho, Seungmoon Choi, Seung-Moo Lee, and Chul-Hyun Cho

JMIR Mental Health

Investigating perceived emotions and affects of a scene, and the user satisfaction with motion effects in 4D movies [arxiv]

Dong Yeong Jeong, Sung H. Han, Seungmoon Choi, Dawoon Jeong, and Kimin Kwon

International Journal of Industrial Ergonomics

Investigating 4D movie audiences’ emotional responses to motion effects and empathy [arxiv]

Dawoon Jeong, Sung H. Han, Dongyeong Jeong, Kimin Kwon, and Seungmoon Choi

Computers in Human Behavior

Multi-Contact Stiffness and Friction Augmentation Using Contact Centroid-Based Normal-Tangential Force Decomposing [arxiv]

Sunghoon Yim, Seungmoon Choi, and Seokhee Jeon

IEEE World Haptics Conference (WHC)

차량 내 가상 버튼에서의 멀티센서리 효과 [arxiv]

Younggyu Lee, Jinsoo Kim, Chaeyong Park, Seungmoon Choi, Eunil Lee, Hyeonju, Ahn, ByungseokKong

한국 HCI학회 학술대회

인터랙티브 VR 스포츠 어플리케이션을 위한 다중감각 햅틱 렌더링 [arxiv]

Minjae Mun, Seungjae Oh, Chaeyong Park, and Seungmoon Choi

한국정보과학회 한국컴퓨터종합학술대회

Vibrotactile Metaphor of Physical Interaction Using Body-Penetrating Phantom Sensations: Stepping on a Virtual Object [arxiv]

Dajin Lee, Seungjae Oh, Seungmoon Choi, and Bum-Jae You

IEEE World Haptics Conference (WHC)

Perceived Hardness of Virtual Surface: A Function of Stiffness, Damping, and Contact Transien [arxiv]

Hyejin Choi, Amit Bhardwaj, Gyeore Yun, and Seungmoon Choi

IEEE World Haptics Conference (WHC)

Perceived Magnitude Function of Friction Rendered by the Dahl Model [arxiv]

Beomsu Lim, Junkyeong Choi, Yongjae Yoo, and Seungmoon Choi

IEEE World Haptics Conference (WHC)

iTurboGraph: Scaling and Automating Incremental Graph Analytics [arxiv]

Seongyun Ko, Taesung Lee, Kijae Hong, Wonseok Lee, In Seo, Jiwon Seo, Wook-Shin Han

47th Int’l Conf. on Management of Data

Deep Q‐network‐based auto scaling for service in a multi‐access edge computing environment [arxiv] [github]

Do-Young Lee,Se-Yeon Jeong,Kyung-Chan Ko,Jae-Hyoung Yoo,James Won-Ki Hong

International Journal of Network Management

PPTMon: Real-time and Fine-grained Packet Processing Time Monitoring in Virtual Network Functions [arxiv]

Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong

IEEE Transactions on Network and Service Management

Graph neural network-based virtual network function deployment optimization [arxiv]

Hee-Gon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, Dongnyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong

International Journal of Network Management (IJNM)

그래프 신경망을 이용한 VNF 관리 시스템 [arxiv]

김희곤, 유재형, 홍원기

KNOM 2021

머신러닝을 이용한 서버 장애 예측 기반 VNF Live Migration [arxiv]

정세연, 유재형, 홍원기

KNOM 2021

Deep Q-Networks 기반 Service Function Chaining 구성 연구 [arxiv]

이도영, 유재형, 홍원기

KNOM 2021

로그 및 자원 분석을 통한 VNF 고장 예측에 관한 연구 [arxiv]

남석현, 홍지범, 유재형, 홍원기

KNOM 2021

웹 기반 영상회의에서 딥 러닝 모델 적용을 위한 방법 연구 [arxiv]

유상우, 고경찬, 홍원기

KNOM 2021

블록체인 기반 CBDC 아키텍처 및 트랜잭션 키 관리 시스템 설계 [arxiv]

한정수, 김정헌, 허강욱, 전윤서, 우종수, 홍원기

KNOM 2021

Gossip 기반 P2P 라우팅을 통한 블록체인 성능 개선 연구 [arxiv]

최원석, 강창훈, 홍원기

KNOM 2021

Opcode 디스어셈블러와 기계 학습 기반의 트랜잭션 패턴 분석을 이용한 이더리움 스캠 컨트랙트 및 악성 유저 탐지 시스템 설계 [arxiv]

이채현, 고경찬, 우종수, 홍원기

KNOM 2021

사물인터넷(IoT)에서의 블록체인 활용 관련 연구동향 분석 [arxiv]

강창훈, 최원석, 우종수, 홍원기

KNOM 2021

가상 네트워크 관리를 위한 기계학습 기반 이상 탐지 시스템 설계 [arxiv]

홍지범, 남석현, 유재형, 홍원기

KNOM 2021

비지도 학습 기반 딥러닝 모델을 활용한 가상 네트워크 비정상 행위 탐지에 관한 연구 [arxiv]

이청준, 홍지범, 최희열

KNOM 2021

Streaming Pattern Based Feature Extraction for Training Neural Network Classifier to Predict Quality of VOD services [arxiv]

Suman Pandey, Mi Jung Choi, Jae-Hyung Yoo, James Won-Ki Hong

The 17th IFIP/IEEE International Symposium on Integrated Network Management (IM 2021)

GRU and EdgeQ-Learning based Traffic Prediction and Scaling of SFC [arxiv]

Suman Pandey, Jae-Hyung Yoo, James Won-Ki Hong

The 7th IEEE International Conference on Network Softwarization (NetSoft 2021)

Reinforcement Learning based Load Balancing for Data Center Networks [arxiv]

Jiyoon Lim, Jae-Hyoung Yoo, James Won-Ki Hong

2021 IEEE 7th International Conference on Network Softwarization (NetSoft)

Machine Learning-Based Auto-Scaler for Video Conferencing Systems [arxiv] [github]

Petra Gabriela Petra, Doyoung Lee, Nguyen Tu, James Won-Ki Hong

The 7th IEEE International Conference on Network Softwarization (NetSoft 2021)

MomentMeld: AI-augmented Mobile Photographic Memento towards Mutually Stimulatory Inter-generational Interaction [arxiv]

Bumsoo Kang, Seungwoo Kang, Inseok Hwang

2021 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2021)

Hivemind: social control-and-use of IoT towards democratization of public spaces [arxiv]

Wonjung Kim, Seungchul Lee, Youngjae Chang, Taegyeong Lee, Inseok Hwang, Junehwa Song

19th ACM International Conference on Mobile Systems, Applications and Services (MobiSys 2021)

Facilitating in-situ shared use of IoT actuators in public spaces [arxiv]

Wonjung Kim, Seungchul Lee, Youngjae Chang, Taegyeong Lee, Inseok Hwang, Junehwa Song

19th ACM International Conference on Mobile Systems, Applications and Services (MobiSys 2021, Demo Paper)

2020

Maude-SE: a Tight Integration of Maude and SMT Solvers [arxiv] [github]

Geunyeol Yu, Kyungmin Bae

International Workshop on Rewriting Logic and its Applications (WRLA)

PeerBFT: Making Hyperledger Fabric’s Ordering Service Withstand Byzantine Faults [arxiv]

Jeonghyun Ma, Yongrae Jo, Chanik Park

IEEE ACCESS

“Toward Trustworthy Blockchain-as-a-Service with Auditing” [arxiv] [github]

Yongrae Jo, Jeonghyun Ma, Chanik Park

40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020)

“FabAsset: Unique Digital Asset Management System for Hyperledger Fabric” [arxiv] [github]

Sangwon Hong, Yoongdoo Noh, Jeyoung Hwang, Chanik Park

2nd IEEE International Workshop on Blockchain and Mobile Applications (BlockApp 2020)

A CNN-based 3D Human Pose Estimation based on Projection of Depth and Ridge Data [arxiv]

Yeonho Kim, Daijin Kim

Pattern Recognition

Multi-task Learning with Future States for Vision-based Autonomous Driving [arxiv]

Inhan Kim, Hyemin Lee, Joonyeong Lee, Eunseop Lee, Daijin Kim

Asian Conference on Computer Vision

VAN: Versatile Affinity Network for End-to-end Online Multi-object Tracking [arxiv]

Hyemin Lee, Inhan Kim, Daijin Kim

Asian Conference on Computer Vision

Compiler-Assisted Semantic-Aware Encryption for Efficient and Secure Serverless Computing [arxiv] [github]

Bongjun Kim, Seonyeong Heo, Jaeho Lee, Shinnung Jeong, Yongwoo Lee, and Hanjun Kim

IEEE Internet of Things Journal

ContraGAN: Contrastive Learning for Conditional Image Generation [arxiv] [github]

Minguk Kang, Jaesik Park

Advances in Neural Information Processing Systems 33

Collision decoding and reporting: A new collision resolution approach using full-duplex radio in WLANs [arxiv]

Hyeongtae Ahn, Hyeongwoo Jo, Young Deok Park, Seung-Hyun Jeong, Young-Joo Suh

Ad Hoc Networks

Congestion-aware HTTP adaptive streaming system over SDN-enabled Wi-Fi network [arxiv]

Hyunmin Noh, Hwanwook Lee, Yunmin Go, Hyun Park, Jongman Lee, Jaewoo Kim, Hwangjun Song

Wiley Concurrency and Computation: Practice and Experience

Cloud-assisted Augmented Reality Streaming Service System: Architecture Design and Implementation [arxiv]

Hyunmin Noh, Hwangjun Song

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Shortest-Path Queries in Geometric Networks. [arxiv]

Eunjin Oh

International Symposium on Algorithms and Computation (ISAAC 2020)

Interest Sustainability-Aware Recommender System [arxiv] [github]

Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu

IEEE International Conference on Data Mining (ICDM’20)

Harmonized Representation Learning on Dynamic EHR Graphs [arxiv] [github]

Dongha Lee, Xiaoqian Jiang, Hwanjo Yu

Journal of the American Medical Informatics Association

Learning to Utilize Auxiliary Reviews for Recommendation [arxiv]

Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu

Information Sciences

DE-RRD: A Knowledge Distillation Framework for Recommender System [arxiv] [github]

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

ACM Conf. Information and Knowledge Management (CIKM)

Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain [arxiv]

Dongmin Hyun, Junsu Cho, Hwanjo Yu

International Conference on Computational Linguistics (COLING’20)

Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection [arxiv] [github]

Sehun Yu, Dongha Lee, Hwanjo Yu

International Joint Conference on Artificial Intelligence (IJCAI’20)

Deep Color Transfer using Histogram Analogy [arxiv] [github]

Junyong Lee, Hyeongseok Son,Gunhee Lee, Jonghyeop Lee, Sunghyun Cho, Seungyong Lee

Visual Computer

Listening-oriented response generation by exploiting user responses [arxiv]

Jeesoo Bang, Sangdo Han, Jong-Hyeok Lee

PATTERN RECOGNITION LETTERS

Noising Scheme for Data Augmentation in Automatic Post-Editing [arxiv] [github]

이원기, 신재훈, 정백진, 이지형, 이종혁

The Fifth Conference on Machine Translation (at EMNLP 2020)

POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Mode [arxiv]

이지형, 이원기, 신재훈, 정백진, 김영길, 이종혁

The Fifth Conference on Machine Translation (at EMNLP 2020)

무작위 문장 삽입 노이징을 적용한 BART 기반의 한국어 문서 생성 요약 [arxiv]

박주홍, 권홍석, 이종혁

제32회 한글 및 한국어정보처리 학술대회

요점만 남긴 신문 기사: 한국어 표제 형식 문서 요약 데이터셋 [arxiv]

권홍석, 고병훈, 박주홍, 이명지, 오재영, 허담, 이종혁

제32회 한글 및 한국어정보처리 학술대회

번역문 사후교정을 위한 교차언어 모델 기반 전이학습 [arxiv]

이지형, 이원기, 김영길, 이종혁

한국컴퓨터종합학술대회 논문집

POSTECH Submission on Duolingo Shared Task [arxiv]

박준수,권홍석,이종혁

Proceedings of the Fourth Workshop on Neural Generation and Translation

CircleGAN: Generative Adversarial Learning across Spherical Circles [arxiv] [github]

Woohyeon Shim, Minsu Cho

Conference on Neural Information Processing Systems (NeurIPS) 2020

Convolutional Hough Matching Networks [arxiv] [github]

Juhong Min, Minsu Cho

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Embedding Transfer with Label Relaxation for Improved Metric Learning [arxiv] [github]

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Augmenting Physical Buttons with Vibrotactile Feedback for Programmable Feels [arxiv]

Chaeyong Park, Jinhyuk Yoon, Seungjae Oh, and Seungmoon Choi

ACM Symposium on User Interface Software and Technology (UIST)

Effectiveness of a Participatory and Interactive Virtual Reality Intervention in Patients With Social Anxiety Disorder: Longitudinal Questionnaire Study [arxiv]

Hyun-Jin Kim, Seulki Lee, Dooyoung Jung, Ji-Won Hur, Heon-Jeong Lee, Sungkil Lee, Gerard J. Kim, Chung-Yean Cho, Seungmoon Choi, Seung-Moo Lee, and Chul-Hyun Cho

Journal of Medical Internet Research

Magnetorheological Fluid Haptic Shoes for Walking in VR [arxiv]

Tae-Heon Yang, Hyungki Son, Sangkyu Byeon, Hyunjae Gil, Inwook Hwang, Gwanghyun Jo, Seungmoon Choi, Sang-Youn Kim, and Jin Ryong Kim

IEEE Transactions on Haptics (ToH)

Magnetorheological Fluid Haptic Shoes for Walking in VR [arxiv]

Tae-Heon Yang, Hyungki Son, Sangkyu Byeon, Hyunjae Gil, Inwook Hwang, Gwanghyun Jo, Seungmoon Choi, Sang-Youn Kim, and Jin Ryong Kim

IEEE Transactions on Haptics (ToH)

Natural language to SQL: Where are we today? [arxiv]

Hyeonji Kim, Byeong-Hoon So, Wook-Shin Han, Hongrae Lee

46th Int’l Conf. on Very Large Data Bases (VLDB) / Proc. the VLDB Endowment (PVLDB)

A Network Intelligence Architecture for Efficient VNF Lifecycle Management [arxiv] [github]

Stanislav Lange, Nguyen Van Tu, Se-Yeon Jeong, Do-Young Lee, Hee-Gon Kim, Jibum Hong, Jae-Hyoung Yoo, James Won-Ki Hong

IEEE Transactions on Network and Service Management

Q-learning Based Service Function Chaining Using VNF Resource-aware Reward Model [arxiv] [github]

Doyoung Lee, Jae-Hyoung Yoo, James Won-Ki Hong

The 21st Asia-Pacific Network Operations and Management Symposium (APNOMS 2020)

Machine Learning-based Optimal VNF Deployment [arxiv]

Suhyun Park, Hee-Gon Kim, Jibum Hong, Stanislav Lange, Jae-Hyoung Yoo, James Won-Ki Hong

The 21st Asia-Pacific Network Operations and Management Symposium (APNOMS 2020)

Graph Neural Network-based Virtual Network Function Management [arxiv]

Hee-Gon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, Dongnyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong

The 21st Asia-Pacific Network Operations and Management Symposium (APNOMS 2020)

Towards Blockchain-based Stainless Steel Tracking [arxiv]

Kyungchan Ko, Changhoon Kang, Youngbok Park, Jongsoo Woo, James Won-Ki Hong

The 21st Asia-Pacific Network Operations and Management Symposium (APNOMS 2020)

Oversampling Techniques for Detecting Bitcoin Illegal Transaction [arxiv]

Jungsu Han, Jongsoo Woo, Jame Won-Ki Hong

The 21st Asia-Pacific Network Operations and Management Symposium (APNOMS 2020)

Load Balancing Algorithm with Programmable Switch [arxiv]

Jiyoon Lim, Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong

The 21st Asia-Pacific Network Operations and Management Symposium (APNOMS 2020)

A Machine Learning based SLA-Aware VNF Anomaly Detection Method in Virtual Networks [arxiv]

Jibum Hong, Suhyun Park, Jae-Hyoung Yoo, James Won-Ki Hong

The 11th International Conference on ICT Convergence (ICTC 2020)

Network Anomaly Detection Based on In-band Network Telemetry with RNN [arxiv] [github]

Sukhyun Nam, Jiyoon Lim, Jae-Hyoung Yoo, James Won-Ki Hong

2020 IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia)

Graph Neural Network-based Virtual Network Function Deployment Prediction [arxiv]

Hee-Gon Kim, Suhyun Park, Dongnyeong Heo, Stanislav Lange, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong

16th International Conference on Network and Service Management (CNSM 2020)

Machine Learning based SLA-Aware VNF Anomaly Detection for Virtual Network Management [arxiv]

Jibum Hong, Suhyun Park, Jae-Hyoung Yoo, James Won-Ki Hong

16th International Conference on Network and Service Management (CNSM 2020)

Deep Q-Networks based Auto-scaling for Service Function Chaining [arxiv]

Doyoung Lee, Jae-Hyoung Yoo, James Won-Ki Hong,

16th International Conference on Network and Service Management (CNSM 2020)

Best next hop Load Balancing Algorithm with Inband network telemetry [arxiv]

Jiyoon Lim, Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong

16th International Conference on Network and Service Management (CNSM 2020)

ERICA: enabling real-time mistake detection & corrective feedback for free-weights exercises [arxiv]

Meera Radhakrishnan, Darshana Rathnayake, Ong Koon Han, Inseok Hwang, Archan Misra

18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020)