13 citations · 15 across the 5 of their papers we have counts for
5 papers
MBA: Multimodal Benchmark and Agents for Real-World Business Ideation
Hojun Choi, Jaeyo Shin, Suin Lee +1
Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet existing approaches remain confined to a text-only paradigm, despit…
TexTailor: Customized Text-aligned Texturing via Effective Resampling
Suin Lee, Dae-Shik Kim
We present TexTailor, a novel method for generating consistent object textures from textual descriptions. Existing text-to-texture synthesis approaches utilize depth-aware diffusio…
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Donggon Jang, Yucheol Cho, Suin Lee +2
The fusion of Large Language Models with vision models is pioneering new possibilities in user-interactive vision-language tasks. A notable application is reasoning segmentation, w…
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer
Gyeongdo Ham, Seonghak Kim, Suin Lee +2
Previous logits-based Knowledge Distillation (KD) have utilized predictions about multiple categories within each sample (i.e., class predictions) and have employed Kullback-Leible…
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
Seonghak Kim, Gyeongdo Ham, Suin Lee +2
To apply the latest computer vision techniques that require a large computational cost in real industrial applications, knowledge distillation methods (KDs) are essential. Existing…