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Found 9 papers, 4 papers with code
GenVideo: One-shot Target-image and Shape Aware Video Editing using T2I Diffusion Models
Our approach handles edits with target objects of varying shapes and sizes while maintaining the temporal consistency of the edit using our novel target and shape aware InvEdit masks.
CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing
We propose multiple forms of our co-optimized region and layer selection strategy to demonstrate the variation of time complexity with the quality of edits over different architectural intricacies while preserving simplicity.
Instantaneous Physiological Estimation using Video Transformers
It outperformed both shallow and deep learning based methods for instantaneous respiration rate estimation.
The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation
Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic.
Semi-Supervised Visual Representation Learning for Fashion Compatibility
We consider the problem of complementary fashion prediction.
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Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Thus, we aim to utilize implicit alignment without additional training objectives to perform adaptation.
Domain Adaptation
Multi-Source Unsupervised Domain Adaptation
Class-Incremental Domain Adaptation
We introduce a practical Domain Adaptation (DA) paradigm called Class-Incremental Domain Adaptation (CIDA).
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
Our approach not only generalizes to in-the-wild images, but also yields a superior trade-off between speed and performance, compared to prior top-down approaches.
Towards Inheritable Models for Open-Set Domain Adaptation
Addressing this, we introduce a practical DA paradigm where a source-trained model is used to facilitate adaptation in the absence of the source dataset in future.
