Seungjun An — accepted AI-conference papers

2025

Multi-Granularity Video Object Segmentation

Sangbeom Lim, Seongchan Kim, Seungjun An, Seokju Cho, Paul Hongsuck Seo, Seungryong Kim

AAAI 2025technical

Current benchmarks for video segmentation are limited to annotating only salient objects (i.e., foreground instances). Despite their impressive architectural designs, previous works trained on these benchmarks have struggled to adapt to realworld scenarios. Thus, developing a new video segmentation…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

Context Enhanced Transformer for Single Image Object Detection in Video Data

Seungjun An, Seonghoon Park, Gyeongnyeon Kim, Jeongyeol Baek, Byeongwon Lee, Seungryong Kim

AAAI 2024technical

With the increasing importance of video data in real-world applications, there is a rising need for efficient object detection methods that utilize temporal information. While existing video object detection (VOD) techniques employ various strategies to address this challenge, they typically depend…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗