Jun Wang

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

By decomposing the visual tracking task into two subproblems as classifi...
11/17/2019 ∙ by Dongyan Guo, et al. ∙ 26 ∙ share

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Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

CT imaging is crucial for diagnosis, assessment and staging COVID-19 inf...
03/10/2020 ∙ by Fei Shan+, et al. ∙ 26 ∙ share

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Multi-View Reinforcement Learning

This paper is concerned with multi-view reinforcement learning (MVRL), w...
10/18/2019 ∙ by Minne Li, et al. ∙ 20 ∙ share

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Multi-Agent Generalized Recursive Reasoning

We propose a new reasoning protocol called generalized recursive reasoni...
01/26/2019 ∙ by Ying Wen, et al. ∙ 16 ∙ share

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Learning Structured Communication for Multi-agent Reinforcement Learning

This work explores the large-scale multi-agent communication mechanism u...
02/11/2020 ∙ by Junjie Sheng, et al. ∙ 16 ∙ share

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Attention-aware Multi-stroke Style Transfer

Neural style transfer has drawn considerable attention from both academi...
01/16/2019 ∙ by Yuan Yao, et al. ∙ 14 ∙ share

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Feature Concatenation Multi-view Subspace Clustering

Many multi-view clustering methods have been proposed with the popularit...
01/30/2019 ∙ by Qinghai Zheng, et al. ∙ 14 ∙ share

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Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Humans are capable of attributing latent mental contents such as beliefs...
01/26/2019 ∙ by Ying Wen, et al. ∙ 12 ∙ share

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Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning

The superior interpretability and uncertainty modeling ability of Takagi...
04/24/2019 ∙ by Peng Xu, et al. ∙ 12 ∙ share

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Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization

Multi-view Multi-instance Multi-label Learning(M3L) deals with complex o...
05/13/2019 ∙ by Yuying Xing, et al. ∙ 12 ∙ share

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Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...
04/06/2020 ∙ by Feng Shi, et al. ∙ 12 ∙ share

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MANAS: Multi-Agent Neural Architecture Search

The Neural Architecture Search (NAS) problem is typically formulated as ...
09/03/2019 ∙ by Fabio Maria Carlucci, et al. ∙ 11 ∙ share

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Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game

In situations where explicit communication is limited, a human collabora...
10/10/2018 ∙ by Zheng Tian, et al. ∙ 10 ∙ share

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Optimizing Object-based Perception and Control by Free-Energy Principle

One of the well-known formulations of human perception is a hierarchical...
03/04/2019 ∙ by Minne Li, et al. ∙ 10 ∙ share

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Multi-View Multiple Clusterings using Deep Matrix Factorization

Multi-view clustering aims at integrating complementary information from...
11/26/2019 ∙ by Shaowei Wei, et al. ∙ 10 ∙ share

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BayesNAS: A Bayesian Approach for Neural Architecture Search

One-Shot Neural Architecture Search (NAS) is a promising method to signi...
05/13/2019 ∙ by Hongpeng Zhou, et al. ∙ 9 ∙ share

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Learning Shared Dynamics with Meta-World Models

Humans have consciousness as the ability to perceive events and objects:...
11/05/2018 ∙ by Lisheng Wu, et al. ∙ 8 ∙ share

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Transfer Representation Learning with TSK Fuzzy System

Transfer learning can address the learning tasks of unlabeled data in th...
01/09/2019 ∙ by Peng Xu, et al. ∙ 8 ∙ share

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DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks

Image deraining is a fundamental, yet not well-solved problem in compute...
08/27/2019 ∙ by Sen Deng, et al. ∙ 7 ∙ share

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Partial Multi-label Learning with Label and Feature Collaboration

Partial multi-label learning (PML) models the scenario where each traini...
03/17/2020 ∙ by Tingting Yu, et al. ∙ 7 ∙ share

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Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation

With the rapid growth of the express industry, intelligent warehouses th...
11/14/2018 ∙ by Haifeng Zhang, et al. ∙ 6 ∙ share

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ActiveHNE: Active Heterogeneous Network Embedding

Heterogeneous network embedding (HNE) is a challenging task due to the d...
05/14/2019 ∙ by Xia Chen, et al. ∙ 6 ∙ share

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Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

Recent years have witnessed the increasing interests in research of crow...
12/27/2019 ∙ by Jun Wang, et al. ∙ 6 ∙ share

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Compositional ADAM: An Adaptive Compositional Solver

In this paper, we present C-ADAM, the first adaptive solver for composit...
02/10/2020 ∙ by Rasul Tutunov, et al. ∙ 6 ∙ share

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CRATOS: Cogination of Reliable Algorithm for Time-series Optimal Solution

Anomaly detection of time series plays an important role in reliability ...
03/03/2020 ∙ by Ziling Wu, et al. ∙ 6 ∙ share

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Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets

In this paper, we propose a new sampler for Bayesian learning that can e...
05/29/2019 ∙ by Rui Luo, et al. ∙ 5 ∙ share

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Visual Navigation by Generating Next Expected Observations

We propose a novel approach to visual navigation in unknown environments...
06/17/2019 ∙ by Qiaoyun Wu, et al. ∙ 5 ∙ share

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Multiple Independent Subspace Clusterings

Multiple clustering aims at discovering diverse ways of organizing data ...
05/10/2019 ∙ by Xing Wang, et al. ∙ 4 ∙ share

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Multi-View Multiple Clustering

Multiple clustering aims at exploring alternative clusterings to organiz...
05/13/2019 ∙ by Shixing Yao, et al. ∙ 4 ∙ share

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Weakly-paired Cross-Modal Hashing

Hashing has been widely adopted for large-scale data retrieval in many d...
05/29/2019 ∙ by Xuanwu Liu, et al. ∙ 4 ∙ share

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Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery

In minimal invasive surgery, it is important to rebuild and visualize th...
03/22/2020 ∙ by Jingwei Song, et al. ∙ 4 ∙ share

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CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution

Anomaly detection of time series plays an important role in reliability ...
03/03/2020 ∙ by Ziling Wu, et al. ∙ 3 ∙ share

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Matrix Recovery with Implicitly Low-Rank Data

In this paper, we study the problem of matrix recovery, which aims to re...
11/09/2018 ∙ by Xingyu Xie, et al. ∙ 2 ∙ share

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End-to-end feature fusion siamese network for adaptive visual tracking

According to observations, different visual objects have different salie...
02/04/2019 ∙ by Dongyan Guo, et al. ∙ 2 ∙ share

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Wasserstein Robust Reinforcement Learning

Reinforcement learning algorithms, though successful, tend to over-fit t...
07/30/2019 ∙ by Mohammed Amin Abdullah, et al. ∙ 2 ∙ share

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A Regularized Opponent Model with Maximum Entropy Objective

In a single-agent setting, reinforcement learning (RL) tasks can be cast...
05/17/2019 ∙ by Zheng Tian, et al. ∙ 2 ∙ share

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MarlRank: Multi-agent Reinforced Learning to Rank

When estimating the relevancy between a query and a document, ranking mo...
09/15/2019 ∙ by Shihao Zou, et al. ∙ 2 ∙ share

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Ranking-based Deep Cross-modal Hashing

Cross-modal hashing has been receiving increasing interests for its low ...
05/11/2019 ∙ by Xuanwu Liu, et al. ∙ 1 ∙ share

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Joint Information Preservation for Heterogeneous Domain Adaptation

Domain adaptation aims to assist the modeling tasks of the target domain...
05/22/2019 ∙ by Peng Xu, et al. ∙ 1 ∙ share

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Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings

Recent advances in Neural Variational Inference allowed for a renaissanc...
06/12/2019 ∙ by Alexander I. Cowen-Rivers, et al. ∙ 1 ∙ share

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Cross-modal Zero-shot Hashing

Hashing has been widely studied for big data retrieval due to its low st...
08/19/2019 ∙ by Xuanwu Liu, et al. ∙ 1 ∙ share

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Attention-Aware Answers of the Crowd

Crowdsourcing is a relatively economic and efficient solution to collect...
12/24/2019 ∙ by Jingzheng Tu, et al. ∙ 1 ∙ share

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Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Geometric Primitives

Airborne LiDAR (Light Detection and Ranging) data is widely applied in b...
03/22/2020 ∙ by Jingwei Song, et al. ∙ 1 ∙ share

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Learning to Hash for Indexing Big Data - A Survey

The explosive growth in big data has attracted much attention in designi...
09/17/2015 ∙ by Jun Wang, et al. ∙ 0 ∙ share

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Compact Hyperplane Hashing with Bilinear Functions

Hyperplane hashing aims at rapidly searching nearest points to a hyperpl...
06/18/2012 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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K-means clustering for efficient and robust registration of multi-view point sets

Efficiency and robustness are the important performance for the registra...
10/14/2017 ∙ by Zutao Jiang, et al. ∙ 0 ∙ share

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Efficient Architecture Search by Network Transformation

Techniques for automatically designing deep neural network architectures...
07/16/2017 ∙ by Han Cai, et al. ∙ 0 ∙ share

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Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions

Recently, the low rank and sparse (LRS) matrix decomposition has been in...
09/25/2017 ∙ by Congcong Jin, et al. ∙ 0 ∙ share

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Learning to Design Games: Strategic Environments in Deep Reinforcement Learning

In typical reinforcement learning (RL), the environment is assumed given...
07/05/2017 ∙ by Haifeng Zhang, et al. ∙ 0 ∙ share

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Unsupervised Generative Modeling Using Matrix Product States

Generative modeling, which learns joint probability distribution from tr...
09/06/2017 ∙ by Zhao-Yu Han, et al. ∙ 0 ∙ share

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Jun Wang

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