24 citations · 103 across the 11 of their papers we have counts for
11 papers
IFQA: Interpretable Face Quality Assessment
Byungho Jo, Donghyeon Cho, In Kyu Park +1
Existing face restoration models have relied on general assessment metrics that do not consider the characteristics of facial regions. Recent works have therefore assessed their me…
Spatio-channel Attention Blocks for Cross-modal Crowd Counting
Youjia Zhang, Soyun Choi, Sungeun Hong
Crowd counting research has made significant advancements in real-world applications, but it remains a formidable challenge in cross-modal settings. Most existing methods rely sole…
Loss-based Sequential Learning for Active Domain Adaptation
Kyeongtak Han, Youngeun Kim, Dongyoon Han +1
Active domain adaptation (ADA) studies have mainly addressed query selection while following existing domain adaptation strategies. However, we argue that it is critical to conside…
Associative Partial Domain Adaptation
Youngeun Kim, Sungeun Hong, Seunghan Yang +3
Partial Adaptation (PDA) addresses a practical scenario in which the target domain contains only a subset of classes in the source domain. While PDA should take into account both c…
Domain Adaptation without Source Data
Youngeun Kim, Donghyeon Cho, Kyeongtak Han +2
Domain adaptation assumes that samples from source and target domains are freely accessible during a training phase. However, such an assumption is rarely plausible in the real-wor…
Key Instance Selection for Unsupervised Video Object Segmentation
Donghyeon Cho, Sungeun Hong, Sungil Kang +1
This paper proposes key instance selection based on video saliency covering objectness and dynamics for unsupervised video object segmentation (UVOS). Our method takes frames seque…
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge
Sungeun Hong, Wonjin Jung, Ilsang Woo +1
Over the past decade, there has been a growing interest in human pose estimation. Although much work has been done on 2D pose estimation, 3D pose estimation has still been relative…
Doubly Nested Network for Resource-Efficient Inference
Jaehong Kim, Sungeun Hong, Yongseok Choi +1
We propose doubly nested network(DNNet) where all neurons represent their own sub-models that solve the same task. Every sub-model is nested both layer-wise and channel-wise. While…
Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint
Sungeun Hong, Woobin Im, Hyun S. Yang
Up to now, only limited research has been conducted on cross-modal retrieval of suitable music for a specified video or vice versa. Moreover, much of the existing research relies o…
Recognizing Dynamic Scenes with Deep Dual Descriptor based on Key Frames and Key Segments
Sungeun Hong, Jongbin Ryu, Woobin Im +1
Recognizing dynamic scenes is one of the fundamental problems in scene understanding, which categorizes moving scenes such as a forest fire, landslide, or avalanche. While existing…
SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person
Sungeun Hong, Woobin Im, Jongbin Ryu +1
Real-world face recognition using a single sample per person (SSPP) is a challenging task. The problem is exacerbated if the conditions under which the gallery image and the probe…