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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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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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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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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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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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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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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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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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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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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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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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 Hao Zhu, 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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Integration of adversarial autoencoders with residual dense convolutional networks for inversion of solute transport in non-Gaussian conductivity fields

Characterization of a non-Gaussian channelized conductivity field in sub...
06/26/2019 ∙ by Shaoxing Mo, et al. ∙ 6 ∙ share

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Aligning Linguistic Words and Visual Semantic Units for Image Captioning

Image captioning attempts to generate a sentence composed of several lin...
08/06/2019 ∙ by Longteng Guo, et al. ∙ 6 ∙ share

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DeepLENS: Deep Learning for Entity Summarization

Entity summarization has been a prominent task over knowledge graphs. Wh...
03/08/2020 ∙ by Qingxia Liu, et al. ∙ 6 ∙ share

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Operational Calibration: Debugging Confidence Errors for DNNs in the Field

Trained DNN models are increasingly adopted as integral parts of softwar...
10/06/2019 ∙ by Zenan Li, et al. ∙ 5 ∙ share

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Learning Spatiotemporal Features via Video and Text Pair Discrimination

Current video representations heavily rely on learning from manually ann...
01/16/2020 ∙ by Tianhao Li, et al. ∙ 5 ∙ share

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Matrix Completion from Non-Uniformly Sampled Entries

In this paper, we consider matrix completion from non-uniformly sampled ...
06/27/2018 ∙ by Yuanyu Wan, et al. ∙ 4 ∙ share

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Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Reinforcement learning aims at searching the best policy model for decis...
07/12/2019 ∙ by Wenjie Shang, et al. ∙ 4 ∙ share

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Bandit Convex Optimization in Non-stationary Environments

Bandit Convex Optimization (BCO) is a fundamental framework for modeling...
07/29/2019 ∙ by Peng Zhao, et al. ∙ 4 ∙ share

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Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification

Person re-identification aims to establish the correct identity correspo...
06/04/2019 ∙ by Guodong Ding, et al. ∙ 3 ∙ share

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Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification

In person re-identification (Re-ID), supervised methods usually need a l...
08/02/2019 ∙ by Lei Qi, et al. ∙ 3 ∙ share

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Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning

Due to low tissue contrast, irregular object appearance, and unpredictab...
04/27/2018 ∙ by Jinquan Sun, et al. ∙ 2 ∙ share

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From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Denoising

Inspired by the recent advances of Generative Adversarial Networks (GAN)...
07/06/2018 ∙ by Zhiyuan Zha, et al. ∙ 2 ∙ share

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Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions

To deal with changing environments, a new performance measure---adaptive...
06/26/2019 ∙ by Lijun Zhang, et al. ∙ 2 ∙ share

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R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Rotation detection is a challenging task due to the difficulties of loca...
08/15/2019 ∙ by Xue Yang, et al. ∙ 2 ∙ share

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Nanjing University

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