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08/21/2023
Privacy-Preserving Face Recognition Using Random Frequency Components
The ubiquitous use of face recognition has sparked increasing privacy co...
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08/18/2023
Meta-ZSDETR: Zero-shot DETR with Meta-learning
Zero-shot object detection aims to localize and recognize objects of uns...
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07/31/2023
HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution
Scene text image super-resolution (STISR) is an important pre-processing...
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07/26/2023
Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings
The emergence of vertical federated learning (VFL) has stimulated concer...
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07/20/2023
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities
With the increasing amount of spatial-temporal (ST) ocean data, numerous...
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05/06/2023
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer
In addition to relevance, diversity is an important yet less studied per...
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03/13/2023
Molecular Property Prediction by Semantic-invariant Contrastive Learning
Contrastive learning have been widely used as pretext tasks for self-sup...
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02/15/2023
Activity Cliff Prediction: Dataset and Benchmark
Activity cliffs (ACs), which are generally defined as pairs of structura...
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01/19/2023
GIPA++: A General Information Propagation Algorithm for Graph Learning
Graph neural networks (GNNs) have been widely used in graph-structured d...
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10/08/2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Few-shot object detection (FSOD) is to detect objects with a few example...
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07/15/2022
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain
With the wide application of face recognition systems, there is rising c...
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04/29/2022
C3-STISR: Scene Text Image Super-resolution with Triple Clues
Scene text image super-resolution (STISR) has been regarded as an import...
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04/24/2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
Recent works have empirically shown the effectiveness of data augmentati...
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03/27/2022
An Empirical Study and Comparison of Recent Few-Shot Object Detection Algorithms
The generic object detection (GOD) task has been successfully tackled by...
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02/15/2022
Fairness Amidst Non-IID Graph Data: A Literature Review
Fairness in machine learning (ML), the process to understand and correct...
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02/09/2022
ARIBA: Towards Accurate and Robust Identification of Backdoor Attacks in Federated Learning
The distributed nature and privacy-preserving characteristics of federat...
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01/24/2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery – A Focus on Affinity Prediction Problems with Noise Annotations
AI-aided drug discovery (AIDD) is gaining increasing popularity due to i...
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10/26/2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
The scarcity of labeled data is a critical obstacle to deep learning. Se...
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10/06/2021
Weakly-supervised Text Classification Based on Keyword Graph
Weakly-supervised text classification has received much attention in rec...
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08/04/2021
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction
A number of deep learning based algorithms have been proposed to recover...
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07/26/2021
ICDAR 2021 Competition on Scene Video Text Spotting
Scene video text spotting (SVTS) is a very important research topic beca...
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05/31/2021
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information
Many deep learning based video compression artifact removal algorithms h...
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05/06/2021
Federated Face Recognition
Face recognition has been extensively studied in computer vision and art...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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11/04/2020
A Survey on Contact Tracing: the Latest Advancements and Challenges
Infectious diseases are caused by pathogenic microorganisms, such as bac...
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06/22/2020
Text Recognition in Real Scenarios with a Few Labeled Samples
Scene text recognition (STR) is still a hot research topic in computer v...
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05/27/2020
Object-QA: Towards High Reliable Object Quality Assessment
In object recognition applications, object images usually appear with di...
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10/27/2019
Non-Local ConvLSTM for Video Compression Artifact Reduction
Video compression artifact reduction aims to recover high-quality videos...
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08/06/2019
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
Fine-grained image recognition has been a hot research topic in computer...
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03/17/2019
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Most of the existing methods for anomaly detection use only positive dat...
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06/22/2018
Global Semantic Consistency for Zero-Shot Learning
In image recognition, there are many cases where training samples cannot...
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05/09/2018
Edit Probability for Scene Text Recognition
We consider the scene text recognition problem under the attention-based...
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11/12/2017
Arbitrarily-Oriented Text Recognition
Recognizing text from natural images is still a hot research topic in co...
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09/07/2017
Focusing Attention: Towards Accurate Text Recognition in Natural Images
Scene text recognition has been a hot research topic in computer vision ...
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01/21/2017
Label Propagation on K-partite Graphs with Heterophily
In this paper, for the first time, we study label propagation in heterog...
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10/07/2011