Joonseok Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
25
Active years
2012–2026
Best venue rank
A*
Where they publish
- ABMVC7 papers
- A*CVPR6 papers
- A*ICCV5 papers
- A*AAAI4 papers
- AWACV4 papers
- MulticonferenceICASSP3 papers
- A*SIGIR3 papers
- AWSDM3 papers
- A*KDD3 papers
- BPAKDD2 papers
- A*ECCV2 papers
- A*ICML2 papers
- AUAI2 papers
- BICPR2 papers
- A*WWW2 papers
- A*ACL1 paper
- ACIKM1 paper
- AAISTATS1 paper
- A*ICLR1 paper
- BACCV1 paper
- CAIES1 paper
- NationalICAISC1 paper
- A*IJCAI1 paper
- A*ICDM1 paper
- BSMC1 paper
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SCALE: Upscaled Continual Learning of Large Language Models. | Jin-woo Lee, Junhwa Choi, Bongkyu Hwang, Jinho Choo, Bogun Kim, JeongSeon Yi, Joonseok Lee, DongYoung Jung, Jaeseon Park, Kyoungwon Park, Suk Hoon Jung |
| 2025 | CIKM | Local Large Language Models for Recommendation. | Yujin Jeon, Jooyoung Kim, Joonseok Lee |
| 2025 | CVPR | GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting. | Inseo Lee, Youngyoon Choi, Joonseok Lee |
| 2025 | CVPR | Towards Scalable Human-aligned Benchmark for Text-guided Image Editing. | Suho Ryu, Kihyun Kim, Eugene Baek, Dongsoo Shin, Joonseok Lee |
| 2025 | ICASSP | Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance. | Xuchan Bao, Judith Yue Li, Zhong Yi Wan, Kun Su, Timo I. Denk, Joonseok Lee, Dima Kuzmin, Fei Sha |
| 2025 | ICCV | SummDiff: Generative Modeling of Video Summarization with Diffusion. | Kwanseok Kim, Jaehoon Hahm, Sumin Kim, Jinhwan Sul, Byunghak Kim, Joonseok Lee |
| 2025 | ICCV | Latent Diffusion Models With Masked Autoencoders. | Junho Lee, Jeongwoo Shin, Hyungwook Choi, Joonseok Lee |
| 2025 | ICCV | Latent Expression Generation for Referring Image Segmentation and Grounding. | Seonghoon Yu, Joonbeom Hong, Joonseok Lee, Jeany Son |
| 2025 | PAKDD | ReducedGCN: Learning to Adapt Graph Convolution for Top-N Recommendation. | Eungi Kim, Chanwoo Kim, Kwangeun Yeo, Jinri Kim, Yujin Jeon, Sewon Lee, Joonseok Lee |
| 2025 | PAKDD | Mixture of Conditional Attention for Multimodal Fusion in Sequential Recommendation. | Sewon Lee, Kwangeun Yeo, Eungi Kim, Jinri Kim, Chanwoo Kim, Yujin Jeon, Jooyoung Kim, Joonseok Lee |
| 2025 | SIGIR | Graph Spectral Filtering with Chebyshev Interpolation for Recommendation. | Chanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee |
| 2024 | AAAI | V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. | Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk |
| 2024 | AISTATS | Towards a Complete Benchmark on Video Moment Localization. | Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Wooyoung Kang, Byungseok Roh, Joonseok Lee |
| 2024 | BMVC | A Revisit to the Decoder for Camouflaged Object Detection. | Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, Joonseok Lee |
| 2024 | BMVC | Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space. | Junho Lee, Jeongwoo Shin, Seung Woo Ko, Seongsu Ha, Joonseok Lee |
| 2024 | ECCV | Finding NeMo: Negative-Mined Mosaic Augmentation for Referring Image Segmentation. | Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, Joonseok Lee |
| 2024 | ICLR | Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks. | Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, Myungjoo Kang |
| 2024 | ICML | Isometric Representation Learning for Disentangled Latent Space of Diffusion Models. | Jaehoon Hahm, Junho Lee, Sunghyun Kim, Joonseok Lee |
| 2024 | SIGIR | Content-based Graph Reconstruction for Cold-start Item Recommendation. | Jinri Kim, Eungi Kim, Kwangeun Yeo, Yujin Jeon, Chanwoo Kim, Sewon Lee, Joonseok Lee |
| 2024 | WACV | RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video. | Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Muhammadjon Boboev, Joonseok Lee, Seungryul Baek |
| 2024 | WACV | PoseDiff: Pose-conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis from Sparse Inputs. | Seoyoung Lee, Joonseok Lee |
| 2024 | WACV | Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval. | Eunyi Lyou, Doyeon Lee, Jooeun Kim, Joonseok Lee |
| 2023 | ICASSP | Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. | Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi |
| 2023 | ICASSP | Exploration Into Translation-Equivariant Image Quantization. | Woncheol Shin, Gyubok Lee, Jiyoung Lee, Eunyi Lyou, Joonseok Lee, Edward Choi |
| 2023 | ICCV | A Unified Framework for Robustness on Diverse Sampling Errors. | Myeongho Jeon, Myungjoo Kang, Joonseok Lee |
| 2023 | ICCV | Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild. | Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee |
| 2023 | UAI | Towards Physically Reliable Molecular Representation Learning. | Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee |
| 2022 | ACCV | BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation. | Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim |
| 2022 | BMVC | Learning to Wear: Details-Preserved Virtual Try-on via Disentangling Clothes and Wearer. | Sangho Lee, Seoyoung Lee, Joonseok Lee |
| 2022 | BMVC | Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer. | Hyungyung Lee, Sungjin Park, Joonseok Lee, Edward Choi |
| 2022 | BMVC | Towards Efficient Neural Scene Graphs by Learning Consistency Fields. | Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee |
| 2022 | CVPR | Future Transformer for Long-term Action Anticipation. | Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho |
| 2022 | CVPR | A Conservative Approach for Unbiased Learning on Unknown Biases. | Myeongho Jeon, Daekyung Kim, Woochul Lee, Myungjoo Kang, Joonseok Lee |
| 2022 | CVPR | Towards Detailed Characteristic-Preserving Virtual Try-On. | Sangho Lee, Seoyoung Lee, Joonseok Lee |
| 2022 | ICPR | ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision. | Seongho Joe, Byoungjip Kim, Hoyoung Kang, Kyoungwon Park, Bogun Kim, Jaeseon Park, Joonseok Lee, Youngjune Gwon |
| 2022 | ICPR | Shuffle & Divide: Contrastive Learning for Long Text. | Joonseok Lee, Seongho Joe, Kyoungwon Park, Bogun Kim, Hoyoung Kang, Jaeseon Park, Youngjune Gwon |
| 2022 | SIGIR | Bilateral Self-unbiased Learning from Biased Implicit Feedback. | Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee |
| 2022 | WSDM | S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. | Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee |
| 2021 | AAAI | Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. | Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi |
| 2021 | BMVC | Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. | Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi |
| 2021 | WWW | Session-aware Linear Item-Item Models for Session-based Recommendation. | Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee |
| 2021 | WSDM | Local Collaborative Autoencoders. | Minjin Choi, Yoonki Jeong, Joonseok Lee, Jongwuk Lee |
| 2020 | AIES | Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. | Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton |
| 2020 | CVPR | Large Scale Video Representation Learning via Relational Graph Clustering. | Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev |
| 2020 | ICAISC | Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks. | Sooah Cho, Su Jeong Song, Joonseok Lee, JiEun Song, Min Soo Kim, Minyoung Lee, Joonho Lee |
| 2019 | BMVC | Learning to Focus and Track Extreme Climate Events. | Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo |
| 2019 | KDD | Large-Scale Training Framework for Video Annotation. | Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev |
| 2019 | WACV | Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. | Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat |
| 2019 | UAI | N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. | Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee |
| 2018 | ECCV | The 2nd YouTube-8M Large-Scale Video Understanding Challenge. | Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici |
| 2018 | KDD | Collaborative Deep Metric Learning for Video Understanding. | Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev |
| 2017 | IJCAI | Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. | Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy |
| 2016 | ICDM | L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. | Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy |
| 2015 | AAAI | Estimating Temporal Dynamics of Human Emotions. | Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park |
| 2015 | AAAI | Local Context Sparse Coding. | Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park |
| 2015 | KDD | Leveraging Knowledge Bases for Contextual Entity Exploration. | Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv |
| 2014 | WWW | Local collaborative ranking. | Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer |
| 2013 | ICML | Local Low-Rank Matrix Approximation. | Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer |
| 2013 | WSDM | Learning multiple-question decision trees for cold-start recommendation. | Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha |
| 2012 | SMC | Rapid screening of keyboard layouts. | Joonseok Lee, Hanggjun Cho, Robert I. McKay |