Search Results for author: Minyi Zhao

Found 9 papers, 2 papers with code

Privacy-Preserving Face Recognition Using Random Frequency Components

1 code implementation ICCV 2023 Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou

The ubiquitous use of face recognition has sparked increasing privacy concerns, as unauthorized access to sensitive face images could compromise the information of individuals.

Face Recognition Privacy Preserving

Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information

no code implementations31 May 2021 Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun

Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos.

Video Compression

Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction

no code implementations4 Aug 2021 Minyi Zhao, Yi Xu, Shuigeng Zhou

A number of deep learning based algorithms have been proposed to recover high-quality videos from low-quality compressed ones.

Video Compression

EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification

no code implementations NAACL 2022 Minyi Zhao, Lu Zhang, Yi Xu, Jiandong Ding, Jihong Guan, Shuigeng Zhou

However, to the best of our knowledge, most existing methods consider only either the diversity or the quality of augmented data, thus cannot fully mine the potential of DA for NLP.

Data Augmentation text-classification +1

C3-STISR: Scene Text Image Super-resolution with Triple Clues

no code implementations29 Apr 2022 Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou

In this paper, we present a novel method C3-STISR that jointly exploits the recognizer's feedback, visual and linguistical information as clues to guide super-resolution.

Image Super-Resolution Language Modelling +1

Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer

no code implementations6 May 2023 Minyi Zhao, Jinpeng Wang, Dongliang Liao, Yiru Wang, Huanzhong Duan, Shuigeng Zhou

On the one hand, standard retrieval systems are usually biased to common semantics and seldom exploit diversity-aware regularization in training, which makes it difficult to promote diversity by post-processing.

Contrastive Learning Image Retrieval +1

HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution

no code implementations31 Jul 2023 Minyi Zhao, Yi Xu, Bingjia Li, Jie Wang, Jihong Guan, Shuigeng Zhou

Observing the quality issue of HR images, in this paper we propose a novel idea to boost STISR by first enhancing the quality of HR images and then using the enhanced HR images as supervision to do STISR.

Image Generation Image Super-Resolution

CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning

no code implementations5 Sep 2023 Hongyu Hu, Jiyuan Zhang, Minyi Zhao, Zhenbang Sun

Nowadays, the research on Large Vision-Language Models (LVLMs) has been significantly promoted thanks to the success of Large Language Models (LLM).

Hallucination

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