7 papers · 1 filter
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…
Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation
Seonghoon Yu, Dongjun Nam, Byung-Kwan Lee +1
Recent think-answer approaches in VLMs, such as Qwen3-VL-Thinking, boost reasoning performance by leveraging intermediate thinking steps before the final answer, but their computat…
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…
Online Generic Event Boundary Detection
Hyungrok Jung, Daneul Kim, Seunggyun Lim +2
Generic Event Boundary Detection (GEBD) aims to interpret long-form videos through the lens of human perception. However, current GEBD methods require processing complete video fra…
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…
A Simple Baseline with Single-encoder for Referring Image Segmentation
Seonghoon Yu, Ilchae Jung, Byeongju Han +4
Referring image segmentation (RIS) requires dense vision-language interactions between visual pixels and textual words to segment objects based on a given description. However, com…