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09/04/2023
MathAttack: Attacking Large Language Models Towards Math Solving Ability
With the boom of Large Language Models (LLMs), the research of solving M...
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08/05/2023
A Symbolic Character-Aware Model for Solving Geometry Problems
AI has made significant progress in solving math problems, but geometry ...
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06/15/2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem
Solving math word problem (MWP) with AI techniques has recently made gre...
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06/14/2023
SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection
Open-set fine-grained anomaly detection is a challenging task that requi...
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04/20/2023
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training
In the stock market, a successful investment requires a good balance bet...
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12/07/2022
Deep Learning for Brain Age Estimation: A Systematic Review
Over the years, Machine Learning models have been successfully employed ...
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11/27/2022
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Single-source domain generalization (SDG) in medical image segmentation ...
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10/27/2022
Towards Better Text-Image Consistency in Text-to-Image Generation
Generating consistent and high-quality images from given texts is essent...
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10/13/2022
Rebalanced Zero-shot Learning
Zero-shot learning (ZSL) aims to identify unseen classes with zero sampl...
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07/22/2022
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
Instance segmentation on point clouds is crucially important for 3D scen...
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05/24/2022
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation
Unsupervised cross-modality medical image adaptation aims to alleviate t...
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04/08/2022
From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
We consider the problem of Multi-view 3D Face Reconstruction (MVR) with ...
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03/26/2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
In the last a few decades, deep neural networks have achieved remarkable...
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02/18/2022
Towards Simple and Accurate Human Pose Estimation with Stair Network
In this paper, we focus on tackling the precise keypoint coordinates reg...
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11/01/2021
PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild
Automatic nuclei segmentation and classification plays a vital role in d...
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10/21/2021
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing
Sentence-based Image Editing (SIE) aims to deploy natural language to ed...
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07/23/2021
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
We consider unsupervised cell nuclei segmentation in this paper. Exploit...
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06/16/2021
Structure First Detail Next: Image Inpainting with Pyramid Generator
Recent deep generative models have achieved promising performance in ima...
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06/16/2021
Disentangling Semantic-to-visual Confusion for Zero-shot Learning
Using generative models to synthesize visual features from semantic dist...
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06/13/2021
Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
This paper proposes a novel nonlinear activation mechanism typically for...
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04/28/2021
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity
The AdaBelief algorithm demonstrates superior generalization ability to ...
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03/10/2021
Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems
In this work, we generalize the reaction-diffusion equation in statistic...
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04/28/2020
Robust Generative Adversarial Network
Generative adversarial networks (GANs) are powerful generative models, b...
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12/28/2019
Hybrid Channel Based Pedestrian Detection
Pedestrian detection has achieved great improvements with the help of Co...
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12/11/2019
Towards Better Forecasting by Fusing Near and Distant Future Visions
Multivariate time series forecasting is an important yet challenging pro...
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11/20/2019
Deep Minimax Probability Machine
Deep neural networks enjoy a powerful representation and have proven eff...
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11/19/2019
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
Weakly supervised semantic segmentation is a challenging task as it only...
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11/15/2019
On Model Robustness Against Adversarial Examples
We study the model robustness against adversarial examples, referred to ...
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08/27/2019
Segmentation Mask Guided End-to-End Person Search
Person search aims to search for a target person among multiple images r...
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01/18/2019
Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Generative Adversarial Networks (GAN) receive great attentions recently ...
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11/08/2018
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Correlation filter has been proven to be an effective tool for a number ...
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07/16/2018
Manifold Adversarial Learning
The recently proposed adversarial training methods show the robustness t...
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12/06/2017
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
One of the key technologies for future large-scale location-aware servic...
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10/27/2017
Stochastic Conjugate Gradient Algorithm with Variance Reduction
Conjugate gradient methods are a class of important methods for solving ...
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05/16/2017
IAN: The Individual Aggregation Network for Person Search
Person search in real-world scenarios is a new challenging computer vers...
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11/19/2015
A Unified Gradient Regularization Family for Adversarial Examples
Adversarial examples are augmented data points generated by imperceptibl...
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01/11/2013
Robust Text Detection in Natural Scene Images
Text detection in natural scene images is an important prerequisite for ...
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07/03/2012
A Fast Projected Fixed-Point Algorithm for Large Graph Matching
We propose a fast approximate algorithm for large graph matching. A new ...
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03/15/2012
