Nanjing University

∙ Nanjing , China ∙ 0 followers

Established in 1902 as Sanjiang Normal School, it underwent a number of name changes until it was renamed Nanjing University in 1950.

Exploratory Machine Learning with Unknown Unknowns

In conventional supervised learning, a training dataset is given with gr...
02/05/2020 ∙ by Yu-Jie Zhang, et al. ∙ 72 ∙ share

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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...
06/18/2020 ∙ by Shuai Zhang, et al. ∙ 35 ∙ share

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Multi-Label Image Recognition with Graph Convolutional Networks

The task of multi-label image recognition is to predict a set of object ...
04/07/2019 ∙ by Zhao-Min Chen, et al. ∙ 32 ∙ share

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Prediction with Unpredictable Feature Evolution

Feature space can change or evolve when learning with streaming data. Se...
04/27/2019 ∙ by Bo-Jian Hou, et al. ∙ 30 ∙ share

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Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

In this paper, we propose a novel matching based tracker by investigatin...
04/15/2019 ∙ by Fanghui Liu, et al. ∙ 26 ∙ share

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Model Reuse with Reduced Kernel Mean Embedding Specification

Given a publicly available pool of machine learning models constructed f...
01/20/2020 ∙ by Xi-Zhu Wu, et al. ∙ 26 ∙ share

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Multi-scale Dynamic Feature Encoding Network for Image Demoireing

The prevalence of digital sensors, such as digital cameras and mobile ph...
09/26/2019 ∙ by Xi Cheng, et al. ∙ 25 ∙ share

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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...
05/02/2020 ∙ by Benyi Hu, et al. ∙ 25 ∙ share

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A Regularization Approach for Instance-Based Superset Label Learning

Different from the traditional supervised learning in which each trainin...
04/05/2019 ∙ by Chen gong, et al. ∙ 24 ∙ share

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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...
03/25/2019 ∙ by Lei Zhang, et al. ∙ 22 ∙ share

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Multi-Label Learning with Deep Forest

In multi-label learning, each instance is associated with multiple label...
11/15/2019 ∙ by Liang Yang, et al. ∙ 22 ∙ share

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Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

Traditional video compression technologies have been developed over deca...
12/13/2019 ∙ by Haojie Liu, et al. ∙ 20 ∙ share

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Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation

Graph neural networks (GNNs) have emerged as a powerful paradigm for emb...
11/20/2019 ∙ by Zequn Sun, et al. ∙ 19 ∙ share

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A New Accelerated Stochastic Gradient Method with Momentum

In this paper, we propose a novel accelerated stochastic gradient method...
05/31/2020 ∙ by Xiaopeng Luo, et al. ∙ 19 ∙ share

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Learning Embedding Adaptation for Few-Shot Learning

Learning with limited data is a key challenge for visual recognition. Fe...
12/10/2018 ∙ by Han-Jia Ye, et al. ∙ 18 ∙ share

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

Identification of a groundwater contaminant source simultaneously with t...
12/22/2018 ∙ by Shaoxing Mo, et al. ∙ 18 ∙ share

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Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...
07/18/2020 ∙ by Dong Zhang, et al. ∙ 18 ∙ share

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Diverse Image Synthesis from Semantic Layouts via Conditional IMLE

Most existing methods for conditional image synthesis are only able to g...
11/29/2018 ∙ by Ke Li, et al. ∙ 16 ∙ share

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

Recent studies have highlighted that deep neural networks (DNNs) are vul...
05/28/2019 ∙ by Pengcheng Li, et al. ∙ 16 ∙ share

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LiDAR Iris for Loop-Closure Detection

In this paper, a global descriptor for a LiDAR point cloud, called LiDAR...
12/09/2019 ∙ by Ying Wang, et al. ∙ 15 ∙ share

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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...
01/31/2021 ∙ by Yang Zhang, et al. ∙ 15 ∙ share

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Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval

Hashing has been widely applied to multimodal retrieval on large-scale m...
01/09/2019 ∙ by Lu Jin, et al. ∙ 14 ∙ share

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

A lot of efforts have been devoted to investigating how agents can learn...
09/06/2019 ∙ by Weixun Wang, et al. ∙ 14 ∙ share

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Actions as Moving Points

The existing action tubelet detectors mainly depend on heuristic anchor ...
01/14/2020 ∙ by Yixuan Li, et al. ∙ 14 ∙ share

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

Cross-resolution face recognition (CRFR), which is important in intellig...
03/25/2021 ∙ by Guangwei Gao, et al. ∙ 14 ∙ share

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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...
07/02/2018 ∙ by Shaoxing Mo, et al. ∙ 13 ∙ share

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Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods

Gaussian process classification (GPC) provides a flexible and powerful s...
09/14/2019 ∙ by Haitao Liu, et al. ∙ 13 ∙ share

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

Generative adversarial network (GAN) has attracted increasing attention ...
07/04/2020 ∙ by Chuan Ma, et al. ∙ 13 ∙ share

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DSFD: Dual Shot Face Detector

Recently, Convolutional Neural Network (CNN) has achieved great success ...
10/24/2018 ∙ by Jian Li, et al. ∙ 12 ∙ share

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CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Caricature generation is an interesting yet challenging task. The primar...
11/01/2018 ∙ by Wenbin Li, et al. ∙ 12 ∙ share

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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...
01/27/2019 ∙ by Lijun Zhang, et al. ∙ 12 ∙ share

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Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning

Vehicle tracking has become one of the key applications of wireless sens...
02/22/2020 ∙ by Jun Li, et al. ∙ 12 ∙ share

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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 ...
01/21/2021 ∙ by Shaoxing Mo, et al. ∙ 11 ∙ share

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Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition

In this paper, we aim to address the problem of human interaction recogn...
11/01/2018 ∙ by Xiangbo Shu, et al. ∙ 10 ∙ share

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

Vehicle re-identification is an important problem and becomes desirable ...
12/11/2018 ∙ by Xiu-Shen Wei, et al. ∙ 10 ∙ share

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Adaptive Regret of Convex and Smooth Functions

We investigate online convex optimization in changing environments, and ...
04/26/2019 ∙ by Lijun Zhang, et al. ∙ 10 ∙ share

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

Acoustic echo cannot be entirely removed by linear adaptive filters due ...
05/15/2020 ∙ by Hongsheng Chen, et al. ∙ 10 ∙ share

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

The geodesic active contour model (GAC) is a commonly used segmentation ...
07/01/2020 ∙ by Jun Ma, et al. ∙ 10 ∙ share

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Learning Classifier Synthesis for Generalized Few-Shot Learning

Visual recognition in real-world requires handling long-tailed and even ...
06/07/2019 ∙ by Han-Jia Ye, et al. ∙ 9 ∙ share

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Learning Data-adaptive Nonparametric Kernels

Traditional kernels or their combinations are often not sufficiently fle...
08/31/2018 ∙ by Fanghui Liu, et al. ∙ 8 ∙ share

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PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain

We propose a universal image reconstruction method to represent detailed...
03/25/2019 ∙ by Sheng You, et al. ∙ 8 ∙ share

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TEA: Temporal Excitation and Aggregation for Action Recognition

Temporal modeling is key for action recognition in videos. It normally c...
04/03/2020 ∙ by Yan Li, et al. ∙ 8 ∙ share

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Affinity Fusion Graph-based Framework for Natural Image Segmentation

This paper proposes an affinity fusion graph framework to effectively co...
06/24/2020 ∙ by Yang Zhang, et al. ∙ 8 ∙ share

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Distilling Virtual Examples for Long-tailed Recognition

In this paper, we tackle the long-tailed visual recognition problem from...
03/28/2021 ∙ by Yin-Yin He, et al. ∙ 8 ∙ share

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Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) addresses the problem of performanc...
05/11/2019 ∙ by Songsong Wu, et al. ∙ 7 ∙ share

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Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation

Many tasks in computer vision and graphics fall within the framework of ...
04/07/2020 ∙ by Ke Li, et al. ∙ 7 ∙ share

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Physics-Based Generative Adversarial Models for Image Restoration and Beyond

We present an algorithm to directly solve numerous image restoration pro...
08/02/2018 ∙ by Jinshan Pan, et al. ∙ 6 ∙ share

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Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness

Weakly supervised data are widespread and have attracted much attention....
04/22/2019 ∙ by Lan-Zhe Guo, et al. ∙ 6 ∙ share

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Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

This paper presents a novel framework to recover detailed human body sha...
04/24/2019 ∙ by Xinxin Zuo, et al. ∙ 6 ∙ share

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Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas

With the rapid development of artificial intelligence (AI), ethical issu...
06/04/2019 ∙ by Teng Wang, et al. ∙ 6 ∙ share

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Nanjing University

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