1 citations · 1 across the 4 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CV2026
Understanding and Exploiting Diagonal Attention Sparsity in Autoregressive Image Generation
Daeun Kim, Junwha Hong, Changhun Oh +3
Autoregressive image generation has emerged as a paradigm for multimodal AI systems due to its compatibility with transformer-based LLM serving infrastructures. However, generating…
cs.CV2026
Isotropic Embedding Perturbations for Robust Vision Language Encoders
Hyesong Choi, Daeun Kim, Song Park +5
Data augmentation is fundamental to training modern deep vision and multimodal models. While individual methods, such as RandAug, CutMix, Mixup, RandErase, and DropPath, offer stro…
physics.data-an2026
Comparison of Image Processing Models in Quark Gluon Jet Classification
Daeun Kim, Jiwon Lee, Wonjun Jeong +6
Quark-gluon discrimination provides a useful test case for studying how different machine-learning architectures learn the spatial structure of QCD radiation. In this work, we comp…