1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Frequency Compensated Diffusion Model for Real-scene Dehazing
Jing Wang, Songtao Wu, Kuanhong Xu +1
Due to distribution shift, deep learning based methods for image dehazing suffer from performance degradation when applied to real-world hazy images. In this paper, we consider a d…
cs.CV2023★ 1 cited
Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion
Yutao Jin, Bin Liu, Jing Wang
The application of video captioning models aims at translating the content of videos by using accurate natural language. Due to the complex nature inbetween object interaction in t…
cs.CV2022★ 1 cited
A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation
Shu Tang, Yang Wu, Hongxing Qin +3
Most existing deep-learning-based single image dynamic scene blind deblurring (SIDSBD) methods usually design deep networks to directly remove the spatially-variant motion blurs fr…