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10 papers · 1 filter
Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection
Ibrohimjon Muminov, Jihie Kim
Real-world detectors must often interpret functional or ambiguous prompts, yet conventional models such as YOLO remain restricted to fixed class lists. Even open-vocabulary models…
CIC: A Framework for Culturally-Aware Image Captioning
Youngsik Yun, Jihie Kim
Image Captioning generates descriptive sentences from images using Vision-Language Pre-trained models (VLPs) such as BLIP, which has improved greatly. However, current methods lack…
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
Jiyong Moon, Junseok Lee, Yunju Lee +1
Recently, vision Transformers (ViTs) have been actively applied to fine-grained visual recognition (FGVR). ViT can effectively model the interdependencies between patch-divided obj…
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching
Khang Truong Giang, Soohwan Song, Sungho Jo
This study tackles the challenge of image matching in difficult scenarios, such as scenes with significant variations or limited texture, with a strong emphasis on computational ef…
Conditional Motion In-betweening
Jihoon Kim, Taehyun Byun, Seungyoun Shin +2
Motion in-betweening (MIB) is a process of generating intermediate skeletal movement between the given start and target poses while preserving the naturalness of the motion, such a…
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation
Junheum Park, Chul Lee, Chang-Su Kim
We propose a novel video frame interpolation algorithm based on asymmetric bilateral motion estimation (ABME), which synthesizes an intermediate frame between two input frames. Fir…