Five papers (including two findings) has been accepted to CVPR.

(1) TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization

Wonhyeok Choi, Kyumin Hwang, Jihun Park, Kyoungmin Lee, Seunghun Lee, Jaeyeul Kim, Minwoo Choi, Sunghoon Im

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

(2) CVA: Context-aware Video-text Alignment for Video Temporal Grounding

Sungho Moon*, Seunghun Lee*, Jiwan Seo, Sunghoon Im

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

(3) A Training-Free Style-Personalization via SVD-Based Feature Decomposition

Kyoungmin Lee*, Jihun Park*, Jongmin Gim*, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Sunghoon Im

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

(4) FREESTYLE: An Anchor-Free Mechanism for Training-Free Style-Aligned Image Generation

Minseok Oh*, Jihun Park*, Jongmin Gim, Minwoo Choi, Kyoungmin Lee, Ferdinando Fioretto, Sunghoon Im

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026

(5) Linear Recurrent Unit with Semantic Modulation for Image Super-Resolution  

Mingyu Choi, Woo Kyoung Han, Sunghoon Im, Kyong Hwan Jin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026