SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning
This work introduces shift-invariant learning, which generates photo-realistic high-resolution videos with accurate Lip-Sync with outperforms state-of-the-art methods on multiple benchmark datasets, in terms of photo-realism, identity preservation, and Lip-Sync accuracy.
Oct 1, 2023
MODEFORMER: Modality-Preserving Embedding For Audio-Video Synchronization Using Transformers
Jun 4, 2023
Automatic Generation and Evaluation of Usable and Secure Audio reCAPTCHA
Oct 24, 2019
Semantic Segmentation with Scarce Data
Jul 16, 2018
Enterprise Scale Privacy Aware Occupancy Sensing
Jul 2, 2018