Joonseok Lee
30 papers · 2012–2025 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π Academic Marathon (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(57)
π
Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(136)
β‘
Prolific Year
(6)
π
Century Club
(30)
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
ICCV (5)
NIPS (5)
CVPR (4)
WACV (3)
AAAI (2)
ICML (2)
JMLR (2)
UAI (2)
ACL (1)
AISTATS (1)
ECCV (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
collaborative filtering
(4)
feature learning
(3)
recommendation system
(3)
representation learning
(3)
video understanding
(3)
matrix factorization
(3)
video generation
(2)
image classification
(2)
recommender system
(2)
contrastive learning
(2)
video summarization
(2)
masked autoencoder
(2)
attention mechanism
(2)
self-supervised learning
(2)
diffusion model
(2)
computer vision
(1)
ensemble learning
(1)
benchmark evaluation
(1)
variational inference
(1)
domain generalization
(1)
Papers
SummDiff: Generative Modeling of Video Summarization with Diffusion
ICCV 2025
Latent Expression Generation for Referring Image Segmentation and Grounding
ICCV 2025
DIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization
ACL 2025
Towards Scalable Human-aligned Benchmark for Text-guided Image Editing
CVPR 2025
Latent Diffusion Models with Masked AutoEncoders
ICCV 2025
PoseDiff: Pose-Conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis From Sparse Inputs
WACV 2024
RMFER: Semi-Supervised Contrastive Learning for Facial Expression Recognition With Reaction Mashup Video
WACV 2024
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
ICML 2024
Self-Guided Masked Autoencoder
NIPS 2024
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation
ECCV 2024
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
ICLR 2024
Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval
WACV 2024
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
AAAI 2024
Towards a Complete Benchmark on Video Moment Localization
AISTATS 2024
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild
ICCV 2023
Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization
NIPS 2023
Activity Grammars for Temporal Action Segmentation
NIPS 2023
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception
NIPS 2023
A Unified Framework for Robustness on Diverse Sampling Errors
ICCV 2023
Towards Physically Reliable Molecular Representation Learning
UAI 2023
A Conservative Approach for Unbiased Learning on Unknown Biases
CVPR 2022
Future Transformer for Long-Term Action Anticipation
CVPR 2022
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
AAAI 2021
Large Scale Video Representation Learning via Relational Graph Clustering
CVPR 2020
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
UAI 2019
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
IJCAI 2017
LLORMA: Local Low-Rank Matrix Approximation
JMLR 2016
Local Low-Rank Matrix Approximation
ICML 2013
PREA: Personalized Recommendation Algorithms Toolkit
JMLR 2012
Automatic Feature Induction for Stagewise Collaborative Filtering
NIPS 2012