2 citations · 2 across the 4 of their papers we have counts for
5 papers
Early Failure Detection and Intervention in Video Diffusion Models
Kwon Byung-Ki, Sohwi Lim, Nam Hyeon-Woo +2
Text-to-video (T2V) diffusion models have rapidly advanced, yet generations still occasionally fail in practice, such as low text-video alignment or low perceptual quality. Since d…
Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching
Wonseok Choi, Sohwi Lim, Nam Hyeon-Woo +4
Instance-level image retrieval aims to find images containing the same object as a given query, despite variations in size, position, or appearance. To address this challenging tas…
Automated Model Discovery via Multi-modal & Multi-step Pipeline
Lee Jung-Mok, Nam Hyeon-Woo, Moon Ye-Bin +2
Automated model discovery is the process of automatically searching and identifying the most appropriate model for a given dataset over a large combinatorial search space. Existing…
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models
Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi +2
Vision language models (VLMs) have shown promising reasoning capabilities across various benchmarks; however, our understanding of their visual perception remains limited. In this…
Scratching Visual Transformer's Back with Uniform Attention
Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo +3
The favorable performance of Vision Transformers (ViTs) is often attributed to the multi-head self-attention (MSA). The MSA enables global interactions at each layer of a ViT model…