Search Results for author:
Found 8 papers, 4 papers with code
Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction
Transformers have recently emerged as a significant force in the field of image deraining.
Textual Prompt Guided Image Restoration
In this paper, an effective textual prompt guided image restoration model has been proposed.
STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence
This paper proposes Short-Term VOlatility-controlled Policy Search (STOPS), a novel algorithm that solves risk-averse problems by learning from short-term trajectories instead of long-term trajectories.
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
To achieve this, we propose a Multi-scale Topological Network (MSTN) to fully explore the features at different scales.
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Although the emergence of deep learning has greatly promoted the development of this field, crowd counting under cluttered background is still a serious challenge.
Progressive Feature Fusion Network for Realistic Image Dehazing
Most of them follow a classic atmospheric scattering model which is an elegant simplified physical model based on the assumption of single-scattering and homogeneous atmospheric medium.
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
Recent works on single-image super-resolution are concentrated on improving performance through enhancing spatial encoding between convolutional layers.
Compositional Memory for Visual Question Answering
We then feed the episodes to a standard question answering module together with the contextual visual information and linguistic information.
