Search Results for author: Yun Cao

Found 13 papers, 6 papers with code

UVL: A Unified Framework for Video Tampering Localization

no code implementations28 Sep 2023 Pengfei Pei, Xianfeng Zhao, Jinchuan Li, Yun Cao

These features are widely present in different types of synthetic forgeries and help improve generalization for detecting unknown videos.

Face Swapping Video Inpainting

SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

1 code implementation21 Jul 2022 Haoran Zhou, Yun Cao, Wenqing Chu, Junwei Zhu, Tong Lu, Ying Tai, Chengjie Wang

Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of a 3D object from its partial observation.

Point Cloud Completion

Learning To Memorize Feature Hallucination for One-Shot Image Generation

no code implementations CVPR 2022 Yu Xie, Yanwei Fu, Ying Tai, Yun Cao, Junwei Zhu, Chengjie Wang

In this paper, we propose a novel model to explicitly learn and memorize reusable features that can help hallucinate novel category images.

Hallucination Image Generation

Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos

1 code implementation15 Dec 2021 Pengfei Pei, Xianfeng Zhao, Yun Cao, Jinchuan Li, Xuyuan Lai

In addition, we designed a tool called Localizator to compare the difference between the original traced video and the fake video.

Retrieval Video Inpainting +1

Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution

no code implementations NeurIPS 2021 Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai

In this paper, we propose a novel blind SR framework to super-resolve LR images degraded by arbitrary blur kernel with accurate kernel estimation in frequency domain.

Image Super-Resolution Translation

Frequency Consistent Adaptation for Real World Super Resolution

no code implementations18 Dec 2020 Xiaozhong Ji, Guangpin Tao, Yun Cao, Ying Tai, Tong Lu, Chengjie Wang, Jilin Li, Feiyue Huang

From this point of view, we design a novel Frequency Consistent Adaptation (FCA) that ensures the frequency domain consistency when applying existing SR methods to the real scene.

Super-Resolution

DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval

no code implementations7 Oct 2020 Yun Cao, Yuebin Wang, Junhuan Peng, Liqiang Zhang, Linlin Xu, Kai Yan, Lihua Li

With a small number of labeled samples for training, it can save considerable manpower and material resources, especially when the amount of high spatial resolution remote sensing images (HSR-RSIs) increases considerably.

Generative Adversarial Network Image Retrieval +2

Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution

no code implementations8 Sep 2018 Yaqi Liu, Xianfeng Zhao, Xiaobin Zhu, Yun Cao

Constrained image splicing detection and localization (CISDL) is a newly proposed challenging task for image forensics, which investigates two input suspected images and identifies whether one image has suspected regions pasted from the other.

Image Forensics

Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks

1 code implementation13 Jun 2017 Yaqi Liu, Qingxiao Guan, Xianfeng Zhao, Yun Cao

In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.

Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.