activity
20202026
most citedTackling the Challenges in Scene Graph Generation with Local-to-Global Interactions

20 citations · 26 across the 17 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-rays

Jeongin Kim, Sohyun Ahn, Seo Young Kang +6

Weakly-supervised thoracic disease detection in chest X-rays (CXR) is challenging due to subtle appearances and complex anatomical overlap, motivating anatomy-aware modeling for im…

cs.CV2026

What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA

Jinhwan Seo, Kyubeom Han, Jumin Lee +2

We study a critical yet overlooked failure mode in Grounded Video Question Answering: question-invariant grounding, where models predict nearly identical temporal segments for diff…

cs.CV2026

JointHOI: Jointly Generating Contact Maps Enhances Hand Object Interaction Generation

Mingyeong Song, Jungbin Cho, Jisoo Kim +5

Text driven hand object interaction (HOI) generation is gaining attention for immersive applications and robotics, yet producing physically plausible interactions remains challengi…

cs.CV2026

Ordering Matters: Rank-Aware Selective Fusion for Blended Emotion Recognition

Junghyun Lee, Hyunseo Kim, Hanna Jang +1

Blended emotion recognition is challenging because emotions are often expressed as mixtures of subtle and overlapping multimodal cues rather than a single dominant signal. We propo…

cs.CV2026

Explicit Time-Frequency Dynamics for Skeleton-Based Gait Recognition

Seoyeon Ko, Yeojin Song, Egene Chung +3

Skeleton-based gait recognizers excel at modeling spatial configurations but often underuse explicit motion dynamics that are crucial under appearance changes. We introduce a plug-…

cs.LG2026

Random Is Hard to Beat: Active Selection in online DPO with Modern LLMs

Giyeong Oh, Junghyun Lee, Jaehyun Park +3

Modern LLMs inherit strong priors from web-scale pretraining, which can limit the headroom of post-training data-selection strategies. While Active Preference Learning (APL) seeks…

cs.SD2026

SIREN: Spatially-Informed Reconstruction of Binaural Audio with Vision

Mingyeong Song, Seoyeon Ko, Junhyug Noh

Binaural audio delivers spatial cues essential for immersion, yet most consumer videos are monaural due to capture constraints. We introduce SIREN, a visually guided mono to binaur…