Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Bilateral Self-unbiased Learning from Biased Implicit Feedback.

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[DOI]

Jae-woong Lee

Seongmin Park

Joonseok Lee

Jongwuk Lee

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MuLan: A Joint Embedding of Music Audio and Natural Language.

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[DOI]

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Shuffle & Divide: Contrastive Learning for Long Text.

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[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision.

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[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Towards Detailed Characteristic-Preserving Virtual Try-On.

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[DOI]

Sangho Lee

Seoyoung Lee

Joonseok Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

A Conservative Approach for Unbiased Learning on Unknown Biases.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Future Transformer for Long-term Action Anticipation.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Efficient Neural Scene Graphs by Learning Consistency Fields.

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[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer.

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[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Learning to Wear: Details-Preserved Virtual Try-on via Disentangling Clothes and Wearer.

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[DOI]

Sangho Lee

Seoyoung Lee

Joonseok Lee

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation.

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[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation.

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[DOI]

CoRR, 2021

Session-aware Linear Item-Item Models for Session-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Local Collaborative Autoencoders.

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[DOI]

Proceedings of the WSDM '21, 2021

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.

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[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.

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[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.

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[DOI]

Sharath M. Shankaranarayana

Hrvoje Bogunovic

Medical Image Anal., 2020

A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus.

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[DOI]

CoRR, 2020

Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks.

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[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2020

Large Scale Video Representation Learning via Relational Graph Clustering.

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[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.

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[DOI]

Inioluwa Deborah Raji

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.

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[DOI]

CoRR, 2019

Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events.

[BibT_eX]

[DOI]

Samira Ebrahimi Kahou

Karthik Kashinath

Prabhat

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.

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[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Large-Scale Training Framework for Video Annotation.

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[DOI]

Seong Jae Hwang

Joonseok Lee

Balakrishnan Varadarajan

Ariel Gordon

Zheng Xu

Apostol Natsev

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Focus and Track Extreme Climate Events.

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[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization.

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[DOI]

Knowl. Inf. Syst., 2018

Collaborative Deep Metric Learning for Video Understanding.

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[DOI]

Joonseok Lee

Sami Abu-El-Haija

Balakrishnan Varadarajan

Apostol Natsev

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

The 2nd YouTube-8M Large-Scale Video Understanding Challenge.

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[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization.

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[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Large-Scale Content-Only Video Recommendation.

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[DOI]

Joonseok Lee

Sami Abu-El-Haija

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

LLORMA: Local Low-Rank Matrix Approximation.

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[DOI]

J. Mach. Learn. Res., 2016

YouTube-8M: A Large-Scale Video Classification Benchmark.

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[DOI]

Balakrishnan Varadarajan

Sudheendra Vijayanarasimhan

CoRR, 2016

L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.

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[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison.

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[DOI]

Joonseok Lee

Hanggjun Cho

Robert Ian (Bob) McKay

IEEE Trans. Hum. Mach. Syst., 2015

Leveraging Knowledge Bases for Contextual Entity Exploration.

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[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Local Context Sparse Coding.

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[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Estimating Temporal Dynamics of Human Emotions.

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[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Optimizing a Personalized Multigram Cellphone Keypad.

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[DOI]

Joonseok Lee

Robert I. McKay

CoRR, 2014

Local collaborative ranking.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Personalized Academic Research Paper Recommendation System

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[DOI]

Joonseok Lee

Kisung Lee

Jennifer G. Kim

CoRR, 2013

Matrix Approximation under Local Low-Rank Assumption

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[DOI]

Proceedings of the 1st International Conference on Learning Representations, 2013

Learning multiple-question decision trees for cold-start recommendation.

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[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Local Low-Rank Matrix Approximation.

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[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

PREA: personalized recommendation algorithms toolkit.

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[DOI]

Joonseok Lee

Mingxuan Sun

Guy Lebanon

J. Mach. Learn. Res., 2012

A Comparative Study of Collaborative Filtering Algorithms

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[DOI]

Joonseok Lee

Mingxuan Sun

Guy Lebanon

CoRR, 2012

Rapid screening of keyboard layouts.

[BibT_eX]

[DOI]

Joonseok Lee

Hanggjun Cho

Robert I. McKay

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Automatic Feature Induction for Stagewise Collaborative Filtering.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Optimizing a Personalized Cellphone Keypad.

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[DOI]

Joonseok Lee

Bob McKay

Proceedings of the Convergence and Hybrid Information Technology, 2011

2007

Predictive Trellis-Coded Quantization of the Cepstral Coefficients for the Distributed Speech Recognition.

[BibT_eX]

[DOI]

Sangwon Kang