1 code implementation • 30 May 2024 • Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, Huaxiong Li
We believe that the GenVideo dataset and the DeMamba module will significantly advance the field of AI-generated video detection.
no code implementations • 29 May 2024 • Chuanbiao Song, Yan Hong, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang
This study reveals a cutting-edge re-balanced contrastive learning strategy aimed at strengthening face anti-spoofing capabilities within facial recognition systems, with a focus on countering the challenges posed by printed photos, and highly realistic silicone or latex masks.
1 code implementation • 26 May 2024 • Linhao Zhong, Yan Hong, Wentao Chen, Binglin Zhou, Yiyi Zhang, Jianfu Zhang, Liqing Zhang
Text-to-image generation models have seen considerable advancement, catering to the increasing interest in personalized image creation.
no code implementations • 25 May 2024 • Tianyi Chen, Jianfu Zhang, Yan Hong, Yiyi Zhang, Liqing Zhang
Image inpainting, the task of reconstructing missing segments in corrupted images using available data, faces challenges in ensuring consistency and fidelity, especially under information-scarce conditions.
1 code implementation • 15 Apr 2024 • Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang
Recent advancements in efficient transfer learning (ETL) have shown remarkable success in fine-tuning VLMs within the scenario of limited data, introducing only a few parameters to harness task-specific insights from VLMs.
no code implementations • 19 Feb 2024 • Yan Hong, Jianfu Zhang
2) Hierarchical structure: WildFake contains fake images synthesized by different types of generators from GANs, diffusion models, to other generative models.
no code implementations • 19 Feb 2024 • Yan Hong, Jianfu Zhang
Recent advancements in personalizing text-to-image (T2I) diffusion models have shown the capability to generate images based on personalized visual concepts using a limited number of user-provided examples.
1 code implementation • 15 Dec 2023 • Li Niu, Yan Hong, Junyan Cao, Liqing Zhang
Painterly image harmonization aims to harmonize a photographic foreground object on the painterly background.
1 code implementation • 15 Dec 2023 • Li Niu, Junyan Cao, Yan Hong, Liqing Zhang
In particular, we learn a mapping from background style and object information to object style based on painterly objects in artistic paintings.
1 code implementation • 21 Nov 2023 • Haoxing Chen, Yaohui Li, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang
Recent methods mainly focus on learning multi-modal features aligned with class names to enhance the generalization ability to unseen categories.
Ranked #1 on GZSL Video Classification on ActivityNet-GZSL (cls)
no code implementations • 15 Nov 2023 • Xudong Wang, Li Niu, Junyan Cao, Yan Hong, Liqing Zhang
In this work, we employ adversarial learning to bridge the domain gap between foreground feature map and background feature map.
1 code implementation • 19 Aug 2023 • Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu
To address these challenges, we propose a controllable image composition method that unifies four tasks in one diffusion model: image blending, image harmonization, view synthesis, and generative composition.
1 code implementation • 30 Jun 2023 • Xinhao Tao, Junyan Cao, Yan Hong, Li Niu
Specifically, in the first stage, we decompose shadow mask prediction into box prediction and shape prediction.
1 code implementation • 11 May 2023 • Yuxuan Duan, Li Niu, Yan Hong, Liqing Zhang
In this work, we introduce WeditGAN, which realizes model transfer by editing the intermediate latent codes $w$ in StyleGANs with learned constant offsets ($\Delta w$), discovering and constructing target latent spaces via simply relocating the distribution of source latent spaces.
1 code implementation • 4 Mar 2023 • Yuxuan Duan, Yan Hong, Li Niu, Liqing Zhang
First, we train a data-efficient StyleGAN2 on defect-free images as the backbone.
1 code implementation • 17 Dec 2022 • Junyan Cao, Yan Hong, Li Niu
In this work, we propose a novel painterly harmonization network consisting of a dual-domain generator and a dual-domain discriminator, which harmonizes the composite image in both spatial domain and frequency domain.
no code implementations • 14 Nov 2022 • Shizheng Zhou, Juntao Jiang, Xiaohan Hong, Yajun Fang, Yan Hong, Pengcheng Fu
The total number of images in the dataset is 937 and all the objects in these images were annotated.
no code implementations • ECCV 2022. Lecture Notes in Computer Science, vol 13684 2022 • Yan Hong, Jianfu Zhang, Zhongyi Sun. Ke Yan
Contrastive loss ensures the transferable semantic directions are class-irrelevant and mode seeking loss is adopted to produce diverse tail-class features and enlarge the feature space of tail classes.
Ranked #29 on Long-tail Learning on CIFAR-10-LT (ρ=10)
no code implementations • 22 Jul 2022 • Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang
Few-shot image translation disentangles an image into style vector and content map.
1 code implementation • 21 Jul 2022 • Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang
In this work, we propose a novel Delta Generative Adversarial Network (DeltaGAN), which consists of a reconstruction subnetwork and a generation subnetwork.
no code implementations • 29 Sep 2021 • Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao
In this paper, we propose a tensor-based framework for GNNs to learn robust graphs from adversarial graphs by aggregating predefined robust graphs to enhance the robustness of GNNs via tensor approximation.
no code implementations • 29 Sep 2021 • Jianfu Zhang, Yan Hong, Liqing Zhang, Qibin Zhao
Graph Neural Networks (GNNs) are fragile to adversarial attacks.
4 code implementations • 28 Jun 2021 • Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang
We have also contributed the first image composition toolbox: libcom https://github. com/bcmi/libcom, which assembles 10+ image composition related functions (e. g., image blending, image harmonization, object placement, shadow generation, generative composition).
1 code implementation • 21 Apr 2021 • Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang
In this work, we focus on generating plausible shadow for the foreground object in the composite image.
1 code implementation • 18 Sep 2020 • Yan Hong, Li Niu, Jianfu Zhang, Jing Liang, Liqing Zhang
In this work, we propose a novel Delta Generative Adversarial Network (DeltaGAN), which consists of a reconstruction subnetwork and a generation subnetwork.
1 code implementation • 5 Aug 2020 • Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang
In this paper, we propose a Fusing-and-Filling Generative Adversarial Network (F2GAN) to generate realistic and diverse images for a new category with only a few images.
no code implementations • 15 Mar 2020 • Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang
To address these issues, we propose our MTL with Selective Augmentation (MTL-SA) method to select the training samples in unlabeled datasets with confident pseudo labels and close data distribution to the labeled dataset.
1 code implementation • 7 Mar 2020 • Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang
Matching generator can match random vectors with a few conditional images from the same category and generate new images for this category based on the fused features.