5 papers · 1 filter
Not All Redundant Tokens Are Alike: Analyzing Visual Token Pruning through Token Roles
Hyeonyu Kim, Sehwan Lim, Youngwon Choi +2
Vision-language models (VLMs) process an image as a sequence of visual tokens, which creates a substantial computational bottleneck during inference. Recent visual token pruning me…
Mine-JEPA: In-Domain Self-Supervised Learning for Mine-Like Object Classification in Side-Scan Sonar
Taeyoun Kwon, Youngwon Choi, Hyeonyu Kim +3
Side-scan sonar (SSS) mine classification is a challenging maritime vision problem characterized by extreme data scarcity and a large domain gap from natural images. While self-sup…
Audio-Guided Visual Editing with Complex Multi-Modal Prompts
Hyeonyu Kim, Seokhoon Jeong, Seonghee Han +2
Visual editing with diffusion models has made significant progress but often struggles with complex scenarios that textual guidance alone could not adequately describe, highlightin…
Generating Realistic Images from In-the-wild Sounds
Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim +1
Representing wild sounds as images is an important but challenging task due to the lack of paired datasets between sound and images and the significant differences in the character…
Technical Report for CVPR 2022 LOVEU AQTC Challenge
Hyeonyu Kim, Jongeun Kim, Jeonghun Kang +3
This technical report presents the 2nd winning model for AQTC, a task newly introduced in CVPR 2022 LOng-form VidEo Understanding (LOVEU) challenges. This challenge faces difficult…