Nanjing University

research

∙ 02/05/2020

Exploratory Machine Learning with Unknown Unknowns

In conventional supervised learning, a training dataset is given with gr...

Yu-Jie Zhang, et al. ∙

research

∙ 07/21/2022

AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance

Deep neural networks are powerful, but they also have shortcomings such ...

Xiaoliang Liu, et al. ∙

research

∙ 04/19/2022

Image Data Augmentation for Deep Learning: A Survey

Deep learning has achieved remarkable results in many computer vision ta...

Suorong Yang, et al. ∙

research

∙ 06/18/2020

Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning

The chest X-Ray (CXR) is the one of the most common clinical exam used t...

Shuai Zhang, et al. ∙

research

∙ 03/23/2022

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Pre-training video transformers on extra large-scale datasets is general...

Zhan Tong, et al. ∙

research

∙ 04/07/2019

Multi-Label Image Recognition with Graph Convolutional Networks

The task of multi-label image recognition is to predict a set of object ...

Zhao-Min Chen, et al. ∙

research

∙ 11/22/2021

Backdoor Attack through Frequency Domain

Backdoor attacks have been shown to be a serious threat against deep lea...

Tong Wang, et al. ∙

research

∙ 04/27/2019

Prediction with Unpredictable Feature Evolution

Feature space can change or evolve when learning with streaming data. Se...

Bo-Jian Hou, et al. ∙

research

∙ 04/15/2019

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

In this paper, we propose a novel matching based tracker by investigatin...

Fanghui Liu, et al. ∙

research

∙ 01/20/2020

Model Reuse with Reduced Kernel Mean Embedding Specification

Given a publicly available pool of machine learning models constructed f...

Xi-Zhu Wu, et al. ∙

research

∙ 09/26/2019

Multi-scale Dynamic Feature Encoding Network for Image Demoireing

The prevalence of digital sensors, such as digital cameras and mobile ph...

Xi Cheng, et al. ∙

research

∙ 05/02/2020

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks

Despite significant progress of applying deep learning methods to the fi...

Benyi Hu, et al. ∙

research

∙ 04/05/2019

A Regularization Approach for Instance-Based Superset Label Learning

Different from the traditional supervised learning in which each trainin...

Chen gong, et al. ∙

research

∙ 03/25/2019

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...

Lei Zhang, et al. ∙

research

∙ 11/15/2019

Multi-Label Learning with Deep Forest

In multi-label learning, each instance is associated with multiple label...

Liang Yang, et al. ∙

research

∙ 12/13/2019

Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

Traditional video compression technologies have been developed over deca...

Haojie Liu, et al. ∙

research

∙ 11/20/2019

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation

Graph neural networks (GNNs) have emerged as a powerful paradigm for emb...

Zequn Sun, et al. ∙

research

∙ 05/31/2020

A New Accelerated Stochastic Gradient Method with Momentum

In this paper, we propose a novel accelerated stochastic gradient method...

Xiaopeng Luo, et al. ∙

research

∙ 12/10/2018

Learning Embedding Adaptation for Few-Shot Learning

Learning with limited data is a key challenge for visual recognition. Fe...

Han-Jia Ye, et al. ∙

research

∙ 12/22/2018

Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification

Identification of a groundwater contaminant source simultaneously with t...

Shaoxing Mo, et al. ∙

research

∙ 07/18/2020

Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...

Dong Zhang, et al. ∙

research

∙ 11/29/2018

Diverse Image Synthesis from Semantic Layouts via Conditional IMLE

Most existing methods for conditional image synthesis are only able to g...

Ke Li, et al. ∙

research

∙ 05/28/2019

Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss

Recent studies have highlighted that deep neural networks (DNNs) are vul...

Pengcheng Li, et al. ∙

research

∙ 08/08/2021

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Fast arbitrary neural style transfer has attracted widespread attention ...

Songhua Liu, et al. ∙

research

∙ 11/05/2021

SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost

The pixel-wise dense prediction tasks based on weakly supervisions curre...

Yanpeng Sun, et al. ∙

research

∙ 11/06/2021

Neural BRDFs: Representation and Operations

Bidirectional reflectance distribution functions (BRDFs) are pervasively...

Jiahui Fan, et al. ∙

research

∙ 02/09/2022

Vertical Federated Learning: Challenges, Methodologies and Experiments

Recently, federated learning (FL) has emerged as a promising distributed...

Kang Wei, et al. ∙

research

∙ 12/09/2019

LiDAR Iris for Loop-Closure Detection

In this paper, a global descriptor for a LiDAR point cloud, called LiDAR...

Ying Wang, et al. ∙

research

∙ 01/31/2021

A Unified Light Framework for Real-time Fault Detection of Freight Train Images

Real-time fault detection for freight trains plays a vital role in guara...

Yang Zhang, et al. ∙

research

∙ 01/09/2019

Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval

Hashing has been widely applied to multimodal retrieval on large-scale m...

Lu Jin, et al. ∙

research

∙ 09/06/2019

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

A lot of efforts have been devoted to investigating how agents can learn...

Weixun Wang, et al. ∙

research

∙ 01/14/2020

Actions as Moving Points

The existing action tubelet detectors mainly depend on heuristic anchor ...

Yixuan Li, et al. ∙

research

∙ 03/25/2021

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition

Cross-resolution face recognition (CRFR), which is important in intellig...

Guangwei Gao, et al. ∙

research

∙ 07/02/2018

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

Surrogate strategies are used widely for uncertainty quantification of g...

Shaoxing Mo, et al. ∙

research

∙ 09/14/2019

Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods

Gaussian process classification (GPC) provides a flexible and powerful s...

Haitao Liu, et al. ∙

research

∙ 07/04/2020

RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Generative adversarial network (GAN) has attracted increasing attention ...

Chuan Ma, et al. ∙

research

∙ 05/10/2022

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains

Generalizing learned representations across significantly different visu...

Haiyang Yang, et al. ∙

research

∙ 05/25/2022

Semi-supervised Drifted Stream Learning with Short Lookback

In many scenarios, 1) data streams are generated in real time; 2) labele...

Weijieying Ren, et al. ∙

research

∙ 10/24/2018

DSFD: Dual Shot Face Detector

Recently, Convolutional Neural Network (CNN) has achieved great success ...

Jian Li, et al. ∙

research

∙ 11/01/2018

CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Caricature generation is an interesting yet challenging task. The primar...

Wenbin Li, et al. ∙

research

∙ 01/27/2019

Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate

Stochastic approximation (SA) is a classical approach for stochastic con...

Lijun Zhang, et al. ∙

research

∙ 02/22/2020

Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning

Vehicle tracking has become one of the key applications of wireless sens...

Jun Li, et al. ∙

research

∙ 06/02/2022

H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation

Deep learning (DL) based semantic segmentation methods have achieved exc...

Peixian Liang, et al. ∙

research

∙ 01/21/2021

Filling the gap between GRACE- and GRACE-FO-derived terrestrial water storage anomalies with Bayesian convolutional neural networks

There is an approximately one-year observation gap of terrestrial water ...

Shaoxing Mo, et al. ∙

research

∙ 04/19/2022

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution

Recently, deep convolution neural networks (CNNs) steered face super-res...

Guangwei Gao, et al. ∙

research

∙ 11/01/2018

Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition

In this paper, we aim to address the problem of human interaction recogn...

Xiangbo Shu, et al. ∙

research

∙ 12/11/2018

Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification

Vehicle re-identification is an important problem and becomes desirable ...

Xiu-Shen Wei, et al. ∙

research

∙ 04/26/2019

Adaptive Regret of Convex and Smooth Functions

We investigate online convex optimization in changing environments, and ...

Lijun Zhang, et al. ∙

research

∙ 05/15/2020

Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet

Acoustic echo cannot be entirely removed by linear adaptive filters due ...

Hongsheng Chen, et al. ∙

research

∙ 07/01/2020

A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation

The geodesic active contour model (GAC) is a commonly used segmentation ...

Jun Ma, et al. ∙

Nanjing University

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