1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
MAPLE: Modality-Aware Post-training and Learning Ecosystem
Nikhil Verma, Minjung Kim, JooYoung Yoo +5
Multimodal language models now integrate text, audio, and video for unified reasoning. Yet existing RL post-training pipelines treat all input signals as equally relevant, ignoring…
cs.CV2022★ 1 cited
Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos
Kyung-Min Jin, Byoung-Sung Lim, Gun-Hee Lee +2
Previous video-based human pose estimation methods have shown promising results by leveraging aggregated features of consecutive frames. However, most approaches compromise accurac…
cs.CV2022
OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos
Kyung-Min Jin, Gun-Hee Lee, Seong-Whan Lee
Although many approaches for multi-human pose estimation in videos have shown profound results, they require densely annotated data which entails excessive man labor. Furthermore,…