1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face Images
Jun-Seok Yun, Youngju Na, Hee Hyeon Kim +2
Although gaze estimation methods have been developed with deep learning techniques, there has been no such approach as aim to attain accurate performance in low-resolution face ima…
cs.CV2022★ 1 cited
Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment
Hyung-Il Kim, Kimin Yun, Yong Man Ro
For the past decades, face recognition (FR) has been actively studied in computer vision and pattern recognition society. Recently, due to the advances in deep learning, the FR tec…
cs.CV2021
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning
Sangmin Lee, Hak Gu Kim, Dae Hwi Choi +2
Our work addresses long-term motion context issues for predicting future frames. To predict the future precisely, it is required to capture which long-term motion context (e.g., wa…