1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
On the Necessity of Attention-FFN Split in Vision Transformers
Junhyeok Kim, Jinyeong Kim, Jae Wan Park +1
The standard Transformer architecture relies on a rigid pattern that alternates Attention and Feed-Forward Network (FFN) layers. Despite its widespread adoption, the inductive bias…
cs.LG2025
Backbone Augmented Training for Adaptations
Jae Wan Park, Junhyeok Kim, Youngjun Jun +2
Adaptations facilitate efficient training of large backbone models, including diffusion models for image generation and transformer-based language models. While various adaptation…
cs.CV2024★ 1 cited
CAT: Contrastive Adapter Training for Personalized Image Generation
Jae Wan Park, Sang Hyun Park, Jun Young Koh +2
The emergence of various adapters, including Low-Rank Adaptation (LoRA) applied from the field of natural language processing, has allowed diffusion models to personalize image gen…