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Found 5 papers, 3 papers with code
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement
Next, we introduce a frequency-oriented vision-text pair generation method by carefully creating contrastive spatio-temporal maps from positive and negative samples and designing proper text prompts to describe their relative ratios of signal frequencies.
Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning
Finally, to better reflect the clinical significant and insignificant errors that radiologists would normally assign in the report, we introduce a novel clinical quality reinforcement learning strategy.
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
Referring video object segmentation (RVOS) aims to segment the target instance referred by a given text expression in a video clip.
Ranked #16 on
Referring Expression Segmentation
on Refer-YouTube-VOS (2021 public validation)
(using extra training data)
Referring Expression Segmentation
Referring Video Object Segmentation
+2
Facial Video-based Remote Physiological Measurement via Self-supervised Learning
Facial video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e. g. heart rate, respiration frequency) from rPPG signals.
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
A popular solution is to first increase the frame rate of the video; then perform feature refinement among different frame features; and last increase the spatial resolutions of these features.
