35 citations · 93 across the 25 of their papers we have counts for
25 papers
IDDR-NGP: Incorporating Detectors for Distractor Removal with Instant Neural Radiance Field
Xianliang Huang, Jiajie Gou, Shuhang Chen +3
This paper presents the first unified distractor removal method, named IDDR-NGP, which directly operates on Instant-NPG. The method is able to remove a wide range of distractors in…
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
Yi Liu, Wengen Li, Jihong Guan +2
Cloud removal (CR) remains a challenging task in remote sensing image processing. Although diffusion models (DM) exhibit strong generative capabilities, their direct applications t…
Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption Utilization
Minyi Zhao, Jie Wang, Zhaoyang Li +3
Recent studies have shown that Vision Language Large Models (VLLMs) may output content not relevant to the input images. This problem, called the hallucination phenomenon, undoubte…
One Model for Two Tasks: Cooperatively Recognizing and Recovering Low-Resolution Scene Text Images by Iterative Mutual Guidance
Minyi Zhao, Yang Wang, Jihong Guan +1
Scene text recognition (STR) from high-resolution (HR) images has been significantly successful, however text reading on low-resolution (LR) images is still challenging due to insu…
Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules with Desirable Properties
Siyuan Guo, Jihong Guan, Shuigeng Zhou
In the past decade, Artificial Intelligence driven drug design and discovery has been a hot research topic, where an important branch is molecule generation by generative models, f…
Privacy-Preserving Face Recognition Using Random Frequency Components
Yuxi Mi, Yuge Huang, Jiazhen Ji +5
The ubiquitous use of face recognition has sparked increasing privacy concerns, as unauthorized access to sensitive face images could compromise the information of individuals. Thi…
HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution
Minyi Zhao, Yi Xu, Bingjia Li +3
Scene text image super-resolution (STISR) is an important pre-processing technique for text recognition from low-resolution scene images. Nowadays, various methods have been propos…
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer
Minyi Zhao, Jinpeng Wang, Dongliang Liao +3
In addition to relevance, diversity is an important yet less studied performance metric of cross-modal image retrieval systems, which is critical to user experience. Existing solut…
GIPA: A General Information Propagation Algorithm for Graph Learning
Houyi Li, Zhihong Chen, Zhao Li +3
Graph neural networks (GNNs) have been widely used in graph-structured data computation, showing promising performance in various applications such as node classification, link pre…
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain
Yuxi Mi, Yuge Huang, Jiazhen Ji +4
With the wide application of face recognition systems, there is rising concern that original face images could be exposed to malicious intents and consequently cause personal priva…
C3-STISR: Scene Text Image Super-resolution with Triple Clues
Minyi Zhao, Miao Wang, Fan Bai +3
Scene text image super-resolution (STISR) has been regarded as an important pre-processing task for text recognition from low-resolution scene text images. Most recent approaches u…
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
Minyi Zhao, Lu Zhang, Yi Xu +3
Recent works have empirically shown the effectiveness of data augmentation (DA) in NLP tasks, especially for those suffering from data scarcity. Intuitively, given the size of gene…
Fairness Amidst Non-IID Graph Data: A Literature Review
Wenbin Zhang, Shuigeng Zhou, Toby Walsh +1
The growing importance of understanding and addressing algorithmic bias in artificial intelligence (AI) has led to a surge in research on AI fairness, which often assumes that the…
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu, Jiandong Ding, Lu Zhang +1
The scarcity of labeled data is a critical obstacle to deep learning. Semi-supervised learning (SSL) provides a promising way to leverage unlabeled data by pseudo labels. However,…
Weakly-supervised Text Classification Based on Keyword Graph
Lu Zhang, Jiandong Ding, Yi Xu +2
Weakly-supervised text classification has received much attention in recent years for it can alleviate the heavy burden of annotating massive data. Among them, keyword-driven metho…
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction
Minyi Zhao, Yi Xu, Shuigeng Zhou
A number of deep learning based algorithms have been proposed to recover high-quality videos from low-quality compressed ones. Among them, some restore the missing details of each…
ICDAR 2021 Competition on Scene Video Text Spotting
Zhanzhan Cheng, Jing Lu, Baorui Zou +2
Scene video text spotting (SVTS) is a very important research topic because of many real-life applications. However, only a little effort has put to spotting scene video text, in c…
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information
Yi Xu, Minyi Zhao, Jing Liu +4
Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos. Recently, methods were…
Federated Face Recognition
Fan Bai, Jiaxiang Wu, Pengcheng Shen +2
Face recognition has been extensively studied in computer vision and artificial intelligence communities in recent years. An important issue of face recognition is data privacy, wh…
A Survey on Contact Tracing: the Latest Advancements and Challenges
Ting Jiang, Yang Zhang, Minhao Zhang +7
Infectious diseases are caused by pathogenic microorganisms, such as bacteria, viruses, parasites or fungi, which can be spread, directly or indirectly, from one person to another.…
Text Recognition in Real Scenarios with a Few Labeled Samples
Jinghuang Lin, Zhanzhan Cheng, Fan Bai +3
Scene text recognition (STR) is still a hot research topic in computer vision field due to its various applications. Existing works mainly focus on learning a general model with a…
Object-QA: Towards High Reliable Object Quality Assessment
Jing Lu, Baorui Zou, Zhanzhan Cheng +4
In object recognition applications, object images usually appear with different quality levels. Practically, it is very important to indicate object image qualities for better appl…
Non-Local ConvLSTM for Video Compression Artifact Reduction
Yi Xu, Longwen Gao, Kai Tian +2
Video compression artifact reduction aims to recover high-quality videos from low-quality compressed videos. Most existing approaches use a single neighboring frame or a pair of ne…
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
Peng Zhang, Xinyu Zhu, Zhanzhan Cheng +2
Fine-grained image recognition has been a hot research topic in computer vision due to its various applications. The-state-of-the-art is the part/region-based approaches that first…