3 papers
cs.CV2026
Cost-efficient Active Learning for Referring Image Segmentation and Grounding
Junbeom Hong, Seonghoon Yu, Hyung Rok Jung +2
Collecting natural-language referring expressions along with region annotations, such as masks or boxes, is a major bottleneck in visual grounding (VG), as annotators must write de…
cs.CV2025
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Seonghoon Yu, Dongjun Nam, Dina Katabi +1
Knowledge Distillation (KD) aims to train a lightweight student model by transferring knowledge from a large, high-capacity teacher. Recent studies have shown that leveraging diver…
cs.CV2025
Latent Expression Generation for Referring Image Segmentation and Grounding
Seonghoon Yu, Junbeom Hong, Joonseok Lee +1
Visual grounding tasks, such as referring image segmentation (RIS) and referring expression comprehension (REC), aim to localize a target object based on a given textual descriptio…