Search Results for author:
Found 4 papers, 2 papers with code
Neuromorphic Imaging with Joint Image Deblurring and Event Denoising
Neuromorphic imaging reacts to per-pixel brightness changes of a dynamic scene with high temporal precision and responds with asynchronous streaming events as a result.
Neuromorphic Imaging and Classification with Graph Learning
Bio-inspired neuromorphic cameras asynchronously record pixel brightness changes and generate sparse event streams.
On the use of deep learning for phase recovery
Then, we review how DL provides support for PR from the following three stages, namely, pre-processing, in-processing, and post-processing.
ISTVT: Interpretable Spatial-Temporal Video Transformer for Deepfake Detection
To address these two challenges, in this paper, we propose an Interpretable Spatial-Temporal Video Transformer (ISTVT), which consists of a novel decomposed spatial-temporal self-attention and a self-subtract mechanism to capture spatial artifacts and temporal inconsistency for robust Deepfake detection.
