Search Results for author:
Found 6 papers, 2 papers with code
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input
Particularly, on benchmarks specialized for long videos, Kangaroo excels some larger models with over 10B parameters and proprietary models.
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020.
Scene Matters: Model-based Deep Video Compression
Video compression has always been a popular research area, where many traditional and deep video compression methods have been proposed.
SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection
This report presents the algorithm used in the submission of Generic Event Boundary Detection (GEBD) Challenge at CVPR 2022.
Exploring ensembles and uncertainty minimization in denoising networks
The development of neural networks has greatly improved the performance in various computer vision tasks.
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
While novel denoising networks were designed for real images coming from different distributions, or for specific applications, comparatively small improvement was achieved on Gaussian denoising.
