133 citations · 208 across the 16 of their papers we have counts for
17 papers
Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization
Xiao Guo, Xiaohong Liu, Iacopo Masi +1
Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and locali…
FLAME-based Multi-View 3D Face Reconstruction
Wenzhuo Zheng, Junhao Zhao, Xiaohong Liu +4
At present, face 3D reconstruction has broad application prospects in various fields, but the research on it is still in the development stage. In this paper, we hope to achieve be…
Cheap-fake Detection with LLM using Prompt Engineering
Guangyang Wu, Weijie Wu, Xiaohong Liu +3
The misuse of real photographs with conflicting image captions in news items is an example of the out-of-context (OOC) misuse of media. In order to detect OOC media, individuals mu…
Hierarchical Fine-Grained Image Forgery Detection and Localization
Xiao Guo, Xiaohong Liu, Zhiyuan Ren +3
Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and locali…
Video Frame Interpolation Transformer
Zhihao Shi, Xiangyu Xu, Xiaohong Liu +2
Existing methods for video interpolation heavily rely on deep convolution neural networks, and thus suffer from their intrinsic limitations, such as content-agnostic kernel weights…
Towards a Unified Approach to Single Image Deraining and Dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi +2
We develop a new physical model for the rain effect and show that the well-known atmosphere scattering model (ASM) for the haze effect naturally emerges as its homogeneous continuo…
GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing
Xiaohong Liu, Zhihao Shi, Zijun Wu +1
We propose an enhanced multi-scale network, dubbed GridDehazeNet+, for single image dehazing. The proposed dehazing method does not rely on the Atmosphere Scattering Model (ASM), a…
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
Xiaohong Liu, Yaojie Liu, Jun Chen +1
To defend against manipulation of image content, such as splicing, copy-move, and removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to detect and loca…
Learning for Unconstrained Space-Time Video Super-Resolution
Zhihao Shi, Xiaohong Liu, Chengqi Li +4
Recent years have seen considerable research activities devoted to video enhancement that simultaneously increases temporal frame rate and spatial resolution. However, the existing…
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov, Radu Timofte, Zhilu Zhang +36
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
AWNet: Attentive Wavelet Network for Image ISP
Linhui Dai, Xiaohong Liu, Chengqi Li +1
As the revolutionary improvement being made on the performance of smartphones over the last decade, mobile photography becomes one of the most common practices among the majority o…
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
Xiaohong Liu, Kangdi Shi, Zhe Wang +1
To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos produced by the Image Signal Processor (ISP) of t…
Video Frame Interpolation via Generalized Deformable Convolution
Zhihao Shi, Xiaohong Liu, Kangdi Shi +2
Video frame interpolation aims at synthesizing intermediate frames from nearby source frames while maintaining spatial and temporal consistencies. The existing deep-learning-based…
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Ales Leonardis +43
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation
Xiaohong Liu, Lingshi Kong, Yang Zhou +2
Video super-resolution aims at generating a high-resolution video from its low-resolution counterpart. With the rapid rise of deep learning, many recently proposed video super-reso…
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi +1
We propose an end-to-end trainable Convolutional Neural Network (CNN), named GridDehazeNet, for single image dehazing. The GridDehazeNet consists of three modules: pre-processing,…