Search Results for author: Feng Ding

Found 9 papers, 4 papers with code

Detecting Multimedia Generated by Large AI Models: A Survey

1 code implementation22 Jan 2024 Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu

The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large language models, has marked a new era where AI-generated multimedia is increasingly integrated into various aspects of daily life.

Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality

no code implementations17 Dec 2023 Bing Fan, Shu Hu, Feng Ding

Besides, compared with the images processed by existing DeepFake anti-forensics methods, the visual qualities of anti-forensics DeepFakes rendered by the proposed method are significantly refined.

Face Swapping

GAN-based Image Compression with Improved RDO Process

no code implementations18 Jun 2023 Fanxin Xia, Jian Jin, Lili Meng, Feng Ding, Huaxiang Zhang

GAN-based image compression schemes have shown remarkable progress lately due to their high perceptual quality at low bit rates.

Image Compression MS-SSIM +1

JND-Based Perceptual Optimization For Learned Image Compression

no code implementations25 Feb 2023 Feng Ding, Jian Jin, Lili Meng, Weisi Lin

After combining them together, we can better assign the distortion in the compressed image with the guidance of JND to preserve the high perceptual quality.

Image Compression MS-SSIM +2

VTC-LFC: Vision Transformer Compression with Low-Frequency Components

1 code implementation NIPS 2022 Zhenyu Wang, Hao Luo, Pichao Wang, Feng Ding, Fan Wang, Hao Li

Although Vision transformers (ViTs) have recently dominated many vision tasks, deploying ViT models on resource-limited devices remains a challenging problem.

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

2 code implementations23 Nov 2021 Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin

We first investigate self-supervised learning (SSL) methods with Vision Transformer (ViT) pretrained on unlabelled person images (the LUPerson dataset), and empirically find it significantly surpasses ImageNet supervised pre-training models on ReID tasks.

 Ranked #1 on Unsupervised Person Re-Identification on Market-1501 (Rank-1 metric, using extra training data)

Self-Supervised Learning Unsupervised Domain Adaptation +1

Angstrom-wide conductive channels in black phosphorus by Cu intercalation

no code implementations21 Jan 2021 Suk Woo Lee, Lu Qiu, Jong Chan Yoon, Yohan Kim, Da Li, Inseon Oh, Gil-Ho Lee, Jung-Woo Yoo, Hyung-Joon Shin, Feng Ding, Zonghoon Lee

Intercalation is an effective method to improve and modulate properties of two-dimensional materials.

Materials Science

Exploring the gap between thermal operations and enhanced thermal operations

no code implementations14 Jan 2021 Yuqiang Ding, Feng Ding, Xueyuan Hu

We analytically calculate the coherence under TO for a given class of population dynamics, and observe a non-negligible gap between the maximum coherence under TO and that under EnTO.

Quantum Physics

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