105 citations · 126 across the 22 of their papers we have counts for
22 papers
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
Yuqing Wang, Zhenyu Weng, Zhaokun Zhou +3
Over the past years, Printed Mathematical Expression Recognition (PMER) has progressed rapidly. However, due to the insufficient context information captured by Convolutional Neura…
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Dongxu Yue, Qin Guo, Munan Ning +3
Editing real facial images is a crucial task in computer vision with significant demand in various real-world applications. While GAN-based methods have showed potential in manipul…
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
Yuqing Wang, Yizhi Wang, Longhui Yu +2
Vector font synthesis is a challenging and ongoing problem in the fields of Computer Vision and Computer Graphics. The recently-proposed DeepVecFont achieved state-of-the-art perfo…
How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation
Jie Ruan, Yue Wu, Xiaojun Wan +1
Sarcasm generation has been investigated in previous studies by considering it as a text-to-text generation problem, i.e., generating a sarcastic sentence for an input sentence. In…
Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou, Yuesheng Zhu, Chao He +4
We consider two biologically plausible structures, the Spiking Neural Network (SNN) and the self-attention mechanism. The former offers an energy-efficient and event-driven paradig…
A Secure and Efficient Data Deduplication Scheme with Dynamic Ownership Management in Cloud Computing
Xuewei Ma, Wenyuan Yang, Yuesheng Zhu +1
Encrypted data deduplication is an important technique for saving storage space and network bandwidth, which has been widely used in cloud storage. Recently, a number of schemes th…
Region-aware Attention for Image Inpainting
Zhilin Huang, Chujun Qin, Zhenyu Weng +1
Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image. However, they tend to generate blurry conten…
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification
Longhui Yu, Zhenyu Weng, Yuqing Wang +1
Incremental learning methods can learn new classes continually by distilling knowledge from the last model (as a teacher model) to the current model (as a student model) in the seq…
Interactive Image Inpainting Using Semantic Guidance
Wangbo Yu, Jinhao Du, Ruixin Liu +2
Image inpainting approaches have achieved significant progress with the help of deep neural networks. However, existing approaches mainly focus on leveraging the priori distributio…
Structure-aware Image Inpainting with Two Parallel Streams
Zhilin Huang, Chujun Qin, Ruixin Liu +2
Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results. In this paper, we propose an end-to-end arc…
Online Hashing with Similarity Learning
Zhenyu Weng, Yuesheng Zhu
Online hashing methods usually learn the hash functions online, aiming to efficiently adapt to the data variations in the streaming environment. However, when the hash functions ar…
TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware
Ying Lan, Jianbo Gao, Ke Wang +4
With the rapid development of blockchain technology, different types of blockchains are adopted and interoperability across blockchains has received widespread attention. There hav…
Fast Search on Binary Codes by Weighted Hamming Distance
Zhenyu Weng, Yuesheng Zhu, Ruixin Liu
Weighted Hamming distance, as a similarity measure between binary codes and binary queries, provides superior accuracy in search tasks than Hamming distance. However, how to effici…
BDTF: A Blockchain-Based Data Trading Framework with Trusted Execution Environment
Guoxiong Su, Wenyuan Yang, Zhengding Luo +3
The need for data trading promotes the emergence of data market. However, in conventional data markets, both data buyers and data sellers have to use a centralized trading platform…
Online Hashing with Efficient Updating of Binary Codes
Zhenyu Weng, Yuesheng Zhu
Online hashing methods are efficient in learning the hash functions from the streaming data. However, when the hash functions change, the binary codes for the database have to be r…
Efficient Querying from Weighted Binary Codes
Zhenyu Weng, Yuesheng Zhu
Binary codes are widely used to represent the data due to their small storage and efficient computation. However, there exists an ambiguity problem that lots of binary codes share…
Sparse-Dense Subspace Clustering
Shuai Yang, Wenqi Zhu, Yuesheng Zhu
Subspace clustering refers to the problem of clustering high-dimensional data into a union of low-dimensional subspaces. Current subspace clustering approaches are usually based on…
Residual Encoder-Decoder Network for Deep Subspace Clustering
Shuai Yang, Wenqi Zhu, Yuesheng Zhu
Subspace clustering aims to cluster unlabeled data that lies in a union of low-dimensional linear subspaces. Deep subspace clustering approaches based on auto-encoders have become…
Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization
Shuai Yang, Wenqi Zhu, Yuesheng Zhu
Subspace clustering (SC) refers to the problem of clustering high-dimensional data into a union of low-dimensional subspaces. Based on spectral clustering, state-of-the-art approac…
Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering
Wenqi Zhu, Yuesheng Zhu, Li Zhong +1
Sparse Subspace Clustering (SSC) is one of the most popular methods for clustering data points into their underlying subspaces. However, SSC may suffer from heavy computational bur…
A Novel Efficient Approach with Data-Adaptive Capability for OMP-based Sparse Subspace Clustering
Jiaqiyu Zhan, Zhiqiang Bai, Yuesheng Zhu
Orthogonal Matching Pursuit (OMP) plays an important role in data science and its applications such as sparse subspace clustering and image processing. However, the existing OMP-ba…
Robust and discriminative zero-watermark scheme based on invariant feature and similarity-based retrieval for protecting large-scale DIBR 3D videos
Xiyao Liu, Yifang Wang, Ziqiang Sun +4
Digital rights management (DRM) of depth-image-based rendering (DIBR) 3D video is an emerging area of research. Existing schemes for DIBR 3D video cause video distortions, are vuln…