597 citations · 2.3k across the 106 of their papers we have counts for
29 papers · 1 filter
Initiative Defense against Facial Manipulation
Qidong Huang, Jie Zhang, Wenbo Zhou +2
Benefiting from the development of generative adversarial networks (GAN), facial manipulation has achieved significant progress in both academia and industry recently. It inspires…
Tracing Text Provenance via Context-Aware Lexical Substitution
Xi Yang, Jie Zhang, Kejiang Chen +4
Text content created by humans or language models is often stolen or misused by adversaries. Tracing text provenance can help claim the ownership of text content or identify the ma…
HairCLIP: Design Your Hair by Text and Reference Image
Tianyi Wei, Dongdong Chen, Wenbo Zhou +5
Hair editing is an interesting and challenging problem in computer vision and graphics. Many existing methods require well-drawn sketches or masks as conditional inputs for editing…
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong, Jianmin Bao, Ting Zhang +7
This paper explores a better prediction target for BERT pre-training of vision transformers. We observe that current prediction targets disagree with human perception judgment.This…
Fidelity-Guarantee Entanglement Routing in Quantum Networks
Jian Li, Mingjun Wang, Qidong Jia +4
Entanglement routing establishes remote entanglement connection between two arbitrary nodes, which is one of the most important functions in quantum networks. The existing routing…
Unsupervised Finetuning
Suichan Li, Dongdong Chen, Yinpeng Chen +5
This paper studies "unsupervised finetuning", the symmetrical problem of the well-known "supervised finetuning". Given a pretrained model and small-scale unlabeled target data, uns…
Improving Dither Modulation based Robust Steganography by Overflow Suppression
Kai Zeng, Kejiang Chen, Yaofei Wang +2
Nowadays, people are sharing their pictures on online social networks (OSNs), so OSN is a good platform for Steganography. But OSNs usually perform JPEG compression on the uploaded…
Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition
Haozhe Chen, Weiming Zhang, Kunlin Liu +3
As an effective method for intellectual property (IP) protection, model watermarking technology has been applied on a wide variety of deep neural networks (DNN), including speech c…
Deep 3D Mesh Watermarking with Self-Adaptive Robustness
Feng Wang, Hang Zhou, Han Fang +4
Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, res…
Temporal RoI Align for Video Object Recognition
Tao Gong, Kai Chen, Xinjiang Wang +5
Video object detection is challenging in the presence of appearance deterioration in certain video frames. Therefore, it is a natural choice to aggregate temporal information from…
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
Zhenchao Jin, Bin Liu, Qi Chu +1
Co-occurrent visual pattern makes aggregating contextual information a common paradigm to enhance the pixel representation for semantic image segmentation. The existing approaches…
Exploring Structure Consistency for Deep Model Watermarking
Jie Zhang, Dongdong Chen, Jing Liao +5
The intellectual property (IP) of Deep neural networks (DNNs) can be easily ``stolen'' by surrogate model attack. There has been significant progress in solutions to protect the IP…
Poison Ink: Robust and Invisible Backdoor Attack
Jie Zhang, Dongdong Chen, Qidong Huang +5
Recent research shows deep neural networks are vulnerable to different types of attacks, such as adversarial attack, data poisoning attack and backdoor attack. Among them, backdoor…
Cascaded Residual Density Network for Crowd Counting
Kun Zhao, Luchuan Song, Bin Liu +2
Crowd counting is a challenging task due to the issues such as scale variation and perspective variation in real crowd scenes. In this paper, we propose a novel Cascaded Residual D…
Abnormal Behavior Detection Based on Target Analysis
Luchuan Song, Bin Liu, Huihui Zhu +2
Abnormal behavior detection in surveillance video is a pivotal part of the intelligent city. Most existing methods only consider how to detect anomalies, with less considering to e…
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li, Dongdong Chen, Yinpeng Chen +5
Unsupervised pretraining has achieved great success and many recent works have shown unsupervised pretraining can achieve comparable or even slightly better transfer performance th…
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong, Jianmin Bao, Dongdong Chen +5
We present CSWin Transformer, an efficient and effective Transformer-based backbone for general-purpose vision tasks. A challenging issue in Transformer design is that global self-…
A Fast-Detection and Fault-Correction Algorithm against Persistent Fault Attack
Yukun Cheng, Mengce Zheng, Fan Huang +3
Persistent Fault Attack (PFA) is a recently proposed Fault Attack (FA) method in CHES 2018. It is able to recover full AES secret key in the Single-Byte-Fault scenario. It is demon…
Three-Dimensional Mesh Steganography and Steganalysis: A Review
Hang Zhou, Weiming Zhang, Kejiang Chen +2
Three-dimensional (3-D) meshes are commonly used to represent virtual surfaces and volumes. Over the past decade, 3-D meshes have emerged in industrial, medical, and entertainment…
Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup
Zhimin Luo, Mengce Zheng, Ping Wang +3
In recent years, various deep learning techniques have been exploited in side channel attacks, with the anticipation of obtaining more appreciable attack results. Most of them conc…
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
Xiquan Guan, Huamin Feng, Weiming Zhang +3
Deep convolutional neural networks have made outstanding contributions in many fields such as computer vision in the past few years and many researchers published well-trained netw…
E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion
Tianyi Wei, Dongdong Chen, Wenbo Zhou +5
This paper studies the problem of StyleGAN inversion, which plays an essential role in enabling the pretrained StyleGAN to be used for real image editing tasks. The goal of StyleGA…
Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature
Changtao Miao, Qi Chu, Weihai Li +3
Over the past several years, in order to solve the problem of malicious abuse of facial manipulation technology, face manipulation detection technology has obtained considerable at…
Diverse Semantic Image Synthesis via Probability Distribution Modeling
Zhentao Tan, Menglei Chai, Dongdong Chen +5
Semantic image synthesis, translating semantic layouts to photo-realistic images, is a one-to-many mapping problem. Though impressive progress has been recently made, diverse seman…