Joonseok Lee

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 73

Top Topics

Scene Segmentation

Topic Discovery

Top Venues

Publications

Jooeun Kim, Jinri Kim, Kwangeun Yeo, Eungi Kim, Kyoung-Woon On, Jonghwan Mun, Joonseok Lee
General Item Representation Learning for Cold-start Content Recommendations. CoRR (2024)
Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. AAAI (2024)
Jaehoon Hahm, Junho Lee, Sunghyun Kim, Joonseok Lee
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models. CoRR (2024)
Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, Myungjoo Kang
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks. ICLR (2024)
Jinri Kim, Eungi Kim, Kwangeun Yeo, Yujin Jeon, Chanwoo Kim, Sewon Lee, Joonseok Lee
Content-based Graph Reconstruction for Cold-start Item Recommendation. SIGIR (2024)
Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Muhammadjon Boboev, Joonseok Lee, Seungryul Baek
RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video. WACV (2024)
Eunyi Lyou, Doyeon Lee, Jooeun Kim, Joonseok Lee
Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval. WACV (2024)
Seoyoung Lee, Joonseok Lee
PoseDiff: Pose-conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis from Sparse Inputs. WACV (2024)
Eunyi Lyou, Doyeon Lee, Jooeun Kim, Joonseok Lee
Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval. CoRR (2024)
Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Wooyoung Kang, Byungseok Roh, Joonseok Lee
Towards a Complete Benchmark on Video Moment Localization. AISTATS (2024)
Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild. CoRR (2023)
Joonseok Lee, Seongho Joe, Kyoungwon Park, Bogun Kim, Hoyoung Kang, Jaeseon Park, Youngjune Gwon
Shuffle & Divide: Contrastive Learning for Long Text. CoRR (2023)
Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild. ICCV (2023)
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays. CoRR (2023)
Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung-Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee
Towards Physically Reliable Molecular Representation Learning. UAI (2023)
Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception. CoRR (2023)
Judith Yue Li, Aren Jansen, Qingqing Huang, Joonseok Lee, Ravi Ganti, Dima Kuzmin
MAQA: A Multimodal QA Benchmark for Negation. CoRR (2023)
Seongho Joe, Byoungjip Kim, Hoyoung Kang, Kyoungwon Park, Bogun Kim, Jaeseon Park, Joonseok Lee, Youngjune Gwon
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision. CoRR (2023)
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. ICASSP (2023)
Woncheol Shin, Gyubok Lee, Jiyoung Lee, Eunyi Lyou, Joonseok Lee, Edward Choi
Exploration Into Translation-Equivariant Image Quantization. ICASSP (2023)
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
Activity Grammars for Temporal Action Segmentation. NeurIPS (2023)
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
Activity Grammars for Temporal Action Segmentation. CoRR (2023)
Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception. NeurIPS (2023)
Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk
V2Meow: Meowing to the Visual Beat via Music Generation. CoRR (2023)
Myeongho Jeon, Myungjoo Kang, Joonseok Lee
A Unified Framework for Robustness on Diverse Sampling Errors. ICCV (2023)
Jinhwan Sul, Jihoon Han, Joonseok Lee
Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization. NeurIPS (2023)
Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee
Towards Efficient Neural Scene Graphs by Learning Consistency Fields. CoRR (2022)
Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim
BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation. ACCV (4) (2022)
Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim
Boundary-aware Self-supervised Learning for Video Scene Segmentation. CoRR (2022)
Seongho Joe, Byoungjip Kim, Hoyoung Kang, Kyoungwon Park, Bogun Kim, Jaeseon Park, Joonseok Lee, Youngjune Gwon
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision. ICPR (2022)
Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis
MuLan: A Joint Embedding of Music Audio and Natural Language. CoRR (2022)
Hyungyung Lee, Sungjin Park, Joonseok Lee, Edward Choi
Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer. BMVC (2022)
Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee
Bilateral Self-unbiased Learning from Biased Implicit Feedback. CoRR (2022)
Myeongho Jeon, Daekyung Kim, Woochul Lee, Myungjoo Kang, Joonseok Lee
A Conservative Approach for Unbiased Learning on Unknown Biases. CVPR (2022)
Joonseok Lee, Seongho Joe, Kyoungwon Park, Bogun Kim, Hoyoung Kang, Jaeseon Park, Youngjune Gwon
Shuffle & Divide: Contrastive Learning for Long Text. ICPR (2022)
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
Future Transformer for Long-term Action Anticipation. CVPR (2022)
Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee
Bilateral Self-unbiased Learning from Biased Implicit Feedback. SIGIR (2022)
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. WSDM (2022)
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. CoRR (2022)
Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis
MuLan: A Joint Embedding of Music Audio and Natural Language. ISMIR (2022)
Sangho Lee, Seoyoung Lee, Joonseok Lee
Learning to Wear: Details-Preserved Virtual Try-on via Disentangling Clothes and Wearer. BMVC (2022)
Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee
Towards Efficient Neural Scene Graphs by Learning Consistency Fields. BMVC (2022)
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
Future Transformer for Long-term Action Anticipation. CoRR (2022)
Sangho Lee, Seoyoung Lee, Joonseok Lee
Towards Detailed Characteristic-Preserving Virtual Try-On. CVPR Workshops (2022)
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
Session-aware Linear Item-Item Models for Session-based Recommendation. WWW (2021)
Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee
Local Collaborative Autoencoders. CoRR (2021)
Woncheol Shin, Gyubok Lee, Jiyoung Lee, Joonseok Lee, Edward Choi
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation. CoRR (2021)
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. BMVC (2021)
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
Session-aware Linear Item-Item Models for Session-based Recommendation. CoRR (2021)
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. AAAI (2021)
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. CoRR (2021)
Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee
Local Collaborative Autoencoders. WSDM (2021)
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. CoRR (2020)
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. CoRR (2020)
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. AIES (2020)
Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev
Large Scale Video Representation Learning via Relational Graph Clustering. CVPR (2020)
Sooah Cho, Su Jeong Song, Joonseok Lee, JiEun Song, Min Soo Kim, Minyoung Lee, Joonho Lee
Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks. ICAISC (1) (2020)
José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020)
Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus. CoRR (2020)
José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR (2019)
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. UAI (2019)
Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo
Learning to Focus and Track Extreme Climate Events. BMVC (2019)
Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev
Large-Scale Training Framework for Video Annotation. KDD (2019)
Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. WACV (2019)
Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici
The 2nd YouTube-8M Large-Scale Video Understanding Challenge. ECCV Workshops (4) (2018)
Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. Knowl. Inf. Syst. 56 (3) (2018)
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. CoRR (2018)
Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev
Collaborative Deep Metric Learning for Video Understanding. KDD (2018)
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. IJCAI (2017)
Joonseok Lee, Sami Abu-El-Haija
Large-Scale Content-Only Video Recommendation. ICCV Workshops (2017)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio
LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. 17 (2016)
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. ICDM (2016)
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan
YouTube-8M: A Large-Scale Video Classification Benchmark. CoRR (2016)
Joonseok Lee, Hanggjun Cho, Robert Ian (Bob) McKay
A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison. IEEE Trans. Hum. Mach. Syst. 45 (3) (2015)
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
Estimating Temporal Dynamics of Human Emotions. AAAI (2015)
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
Local Context Sparse Coding. AAAI (2015)
Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv
Leveraging Knowledge Bases for Contextual Entity Exploration. KDD (2015)
Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer
Local collaborative ranking. WWW (2014)
Joonseok Lee, Robert I. McKay
Optimizing a Personalized Multigram Cellphone Keypad. CoRR (2014)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Local Low-Rank Matrix Approximation. ICML (2) (2013)
Joonseok Lee, Kisung Lee, Jennifer G. Kim
Personalized Academic Research Paper Recommendation System CoRR (2013)
Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha
Learning multiple-question decision trees for cold-start recommendation. WSDM (2013)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Matrix Approximation under Local Low-Rank Assumption ICLR (Workshop Poster) (2013)
Joonseok Lee, Mingxuan Sun, Guy Lebanon
PREA: personalized recommendation algorithms toolkit. J. Mach. Learn. Res. 13 (2012)
Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon
Automatic Feature Induction for Stagewise Collaborative Filtering. NIPS (2012)
Joonseok Lee, Mingxuan Sun, Guy Lebanon
A Comparative Study of Collaborative Filtering Algorithms CoRR (2012)
Joonseok Lee, Hanggjun Cho, Robert I. McKay
Rapid screening of keyboard layouts. SMC (2012)
Joonseok Lee, Bob McKay
Optimizing a Personalized Cellphone Keypad. ICHIT (1) (2011)
Sangwon Kang, Joonseok Lee
Predictive Trellis-Coded Quantization of the Cepstral Coefficients for the Distributed Speech Recognition. IEICE Trans. Commun. (6) (2007)