100 citations · 339 across the 29 of their papers we have counts for
28 papers · 1 filter
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection
Yuhao Sun, Lingyun Yu, Hongtao Xie +2
With the rapid development of face recognition (FR) systems, the privacy of face images on social media is facing severe challenges due to the abuse of unauthorized FR systems. Som…
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
Tianhao Qi, Shancheng Fang, Yanze Wu +5
The diffusion-based text-to-image model harbors immense potential in transferring reference style. However, current encoder-based approaches significantly impair the text controlla…
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval
Pandeng Li, Hongtao Xie, Jiannan Ge +3
Unsupervised video hashing usually optimizes binary codes by learning to reconstruct input videos. Such reconstruction constraint spends much effort on frame-level temporal context…
Symmetrical Linguistic Feature Distillation with CLIP for Scene Text Recognition
Zixiao Wang, Hongtao Xie, Yuxin Wang +3
In this paper, we explore the potential of the Contrastive Language-Image Pretraining (CLIP) model in scene text recognition (STR), and establish a novel Symmetrical Linguistic Fea…
TextPainter: Multimodal Text Image Generation with Visual-harmony and Text-comprehension for Poster Design
Yifan Gao, Jinpeng Lin, Min Zhou +4
Text design is one of the most critical procedures in poster design, as it relies heavily on the creativity and expertise of humans to design text images considering the visual har…
Balanced Classification: A Unified Framework for Long-Tailed Object Detection
Tianhao Qi, Hongtao Xie, Pandeng Li +2
Conventional detectors suffer from performance degradation when dealing with long-tailed data due to a classification bias towards the majority head categories. In this paper, we c…
MomentDiff: Generative Video Moment Retrieval from Random to Real
Pandeng Li, Chen-Wei Xie, Hongtao Xie +5
Video moment retrieval pursues an efficient and generalized solution to identify the specific temporal segments within an untrimmed video that correspond to a given language descri…
Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
Boqiang Zhang, Hongtao Xie, Yuxin Wang +2
Vision model have gained increasing attention due to their simplicity and efficiency in Scene Text Recognition (STR) task. However, due to lacking the perception of linguistic know…
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition
Tianlun Zheng, Zhineng Chen, Jinfeng Bai +2
Text irregularities pose significant challenges to scene text recognizers. Thin-Plate Spline (TPS)-based rectification is widely regarded as an effective means to deal with them. C…
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
Shancheng Fang, Zhendong Mao, Hongtao Xie +3
Scene text spotting is of great importance to the computer vision community due to its wide variety of applications. Recent methods attempt to introduce linguistic knowledge for ch…
Exploring Stroke-Level Modifications for Scene Text Editing
Yadong Qu, Qingfeng Tan, Hongtao Xie +3
Scene text editing (STE) aims to replace text with the desired one while preserving background and styles of the original text. However, due to the complicated background textures…
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets
Zhiying Lu, Hongtao Xie, Chuanbin Liu +1
There still remains an extreme performance gap between Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) when training from scratch on small datasets, which is co…
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
Yunning Cao, Ye Ma, Min Zhou +4
Layout generation is a novel task in computer vision, which combines the challenges in both object localization and aesthetic appraisal, widely used in advertisements, posters, and…
REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer
Quanwei Yang, Xinchen Liu, Wu Liu +4
Human Video Motion Transfer (HVMT) aims to, given an image of a source person, generate his/her video that imitates the motion of the driving person. Existing methods for HVMT main…
CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
Tianlun Zheng, Zhineng Chen, Shancheng Fang +2
The Transformer-based encoder-decoder framework is becoming popular in scene text recognition, largely because it naturally integrates recognition clues from both visual and semant…
From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network
Yuxin Wang, Hongtao Xie, Shancheng Fang +3
In this paper, we abandon the dominant complex language model and rethink the linguistic learning process in the scene text recognition. Different from previous methods considering…
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Shaobo Min, Qi Dai, Hongtao Xie +3
Cross-modal correlation provides an inherent supervision for video unsupervised representation learning. Existing methods focus on distinguishing different video clips by visual an…
PERT: A Progressively Region-based Network for Scene Text Removal
Yuxin Wang, Hongtao Xie, Shancheng Fang +2
Scene text removal (STR) contains two processes: text localization and background reconstruction. Through integrating both processes into a single network, previous methods provide…
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval
Rui Zhao, Kecheng Zheng, Zheng-Jun Zha +2
Cross-modal video-text retrieval, a challenging task in the field of vision and language, aims at retrieving corresponding instance giving sample from either modality. Existing app…
Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection
Jiaming Li, Hongtao Xie, Jiahong Li +2
Face forgery detection is raising ever-increasing interest in computer vision since facial manipulation technologies cause serious worries. Though recent works have reached sound a…
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
Shancheng Fang, Hongtao Xie, Yuxin Wang +2
Linguistic knowledge is of great benefit to scene text recognition. However, how to effectively model linguistic rules in end-to-end deep networks remains a research challenge. In…
ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
Yuxin Wang, Hongtao Xie, Zhengjun Zha +3
Scene text detection has witnessed rapid development in recent years. However, there still exists two main challenges: 1) many methods suffer from false positives in their text rep…
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Shaobo Min, Hantao Yao, Hongtao Xie +2
Bilinear pooling achieves great success in fine-grained visual recognition (FGVC). Recent methods have shown that the matrix power normalization can stabilize the second-order info…
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
Shaobo Min, Hantao Yao, Hongtao Xie +3
Recent methods focus on learning a unified semantic-aligned visual representation to transfer knowledge between two domains, while ignoring the effect of semantic-free visual repre…