b'Ke Chen'

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach

Semantic segmentation of 3D point clouds relies on training deep models ...
01/18/2021 ∙ by Xian Shi, et al. ∙ 15 ∙ share

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Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering

Unsupervised domain adaptation (UDA) is to learn classification models t...
12/08/2020 ∙ by Hui Tang, et al. ∙ 12 ∙ share

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LINDT: Tackling Negative Federated Learning with Local Adaptation

Federated Learning (FL) is a promising distributed learning paradigm, wh...
11/23/2020 ∙ by Hong Lin, et al. ∙ 0 ∙ share

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Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation

Personalized recommendation on new track releases has always been a chal...
10/29/2020 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Nearly sharp structured sketching for constrained optimization

In this work, we study a tensor-structured random sketching matrix to pr...
10/19/2020 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Feature Importance Ranking for Deep Learning

Feature importance ranking has become a powerful tool for explainable AI...
10/18/2020 ∙ by Maksymilian Wojtas, et al. ∙ 123 ∙ share

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CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling

Point set is arguably the most direct approximation of an object or scen...
09/10/2020 ∙ by Jiehong Lin, et al. ∙ 5 ∙ share

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POP909: A Pop-song Dataset for Music Arrangement Generation

Music arrangement generation is a subtask of automatic music generation,...
08/17/2020 ∙ by Ziyu Wang, et al. ∙ 0 ∙ share

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MusPy: A Toolkit for Symbolic Music Generation

In this paper, we present MusPy, an open source Python library for symbo...
08/05/2020 ∙ by Hao-Wen Dong, et al. ∙ 169 ∙ share

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Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm

Drawing an analogy with automatic image completion systems, we propose M...
08/04/2020 ∙ by Ke Chen, et al. ∙ 29 ∙ share

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A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation

The geodesic distance-based dual-front curve evolution model is a powerf...
06/14/2020 ∙ by Da Chen, et al. ∙ 12 ∙ share

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MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views

Autonomous driving requires the inference of actionable information such...
06/09/2020 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Compositional Few-Shot Recognition with Primitive Discovery and Enhancing

Few-shot learning (FSL) aims at recognizing novel classes given only few...
05/12/2020 ∙ by Yixiong Zou, et al. ∙ 11 ∙ share

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Multiparty Selection

Given a sequence A of n numbers and an integer (target) parameter 1≤ i≤ ...
04/12/2020 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering

Unsupervised domain adaptation (UDA) is to make predictions for unlabele...
03/19/2020 ∙ by Hui Tang, et al. ∙ 5 ∙ share

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A Framework for End-to-End Learning on Semantic Tree-Structured Data

While learning models are typically studied for inputs in the form of a ...
02/13/2020 ∙ by William Woof, et al. ∙ 0 ∙ share

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Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions

Automatic music generation is an interdisciplinary research topic that c...
02/05/2020 ∙ by Ke Chen, et al. ∙ 11 ∙ share

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Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors

Existing deep learning algorithms for point cloud analysis mainly concer...
01/14/2020 ∙ by Lulu Tang, et al. ∙ 62 ∙ share

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W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression

Solving 6D pose estimation is non-trivial to cope with intrinsic appeara...
12/26/2019 ∙ by Zelin Xu, et al. ∙ 6 ∙ share

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Cascading Convolutional Color Constancy

Regressing the illumination of a scene from the representations of objec...
12/24/2019 ∙ by Huanglin Yu, et al. ∙ 6 ∙ share

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Geometry-aware Generation of Adversarial and Cooperative Point Clouds

Recent studies show that machine learning models are vulnerable to adver...
12/24/2019 ∙ by Yuxin Wen, et al. ∙ 23 ∙ share

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Towards Further Understanding of Sparse Filtering via Information Bottleneck

In this paper we examine a formalization of feature distribution learnin...
10/20/2019 ∙ by Fabio Massimo Zennaro, et al. ∙ 0 ∙ share

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Schwarz iteration method for elliptic equation with rough media based on random sampling

We propose a computationally efficient Schwarz method for elliptic equat...
10/04/2019 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Structured random sketching for PDE inverse problems

For an overdetermined system Ax≈b with A and b given, the least-square (...
09/25/2019 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Learning-Based Video Game Development in MLP@UoM: An Overview

In general, video games not only prevail in entertainment but also have ...
08/27/2019 ∙ by Ke Chen, et al. ∙ 22 ∙ share

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Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge

We briefly introduce two submissions to the Illumination Estimation Chal...
08/06/2019 ∙ by Yanlin Qian, et al. ∙ 0 ∙ share

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On the Stretch Factor of Polygonal Chains

Let P=(p_1, p_2, ..., p_n) be a polygonal chain. The stretch factor of P...
06/24/2019 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction

This paper addresses the problem of key phrase extraction from sentences...
04/08/2019 ∙ by Jue Wang, et al. ∙ 0 ∙ share

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ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views

In this paper, we introduce the ShopSign dataset, which is a newly devel...
03/25/2019 ∙ by Chongsheng Zhang, et al. ∙ 0 ∙ share

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Structured Knowledge Distillation for Semantic Segmentation

In this paper, we investigate the knowledge distillation strategy for tr...
03/11/2019 ∙ by Yifan Liu, et al. ∙ 0 ∙ share

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Tooth morphometry using quasi-conformal theory

Shape analysis is important in anthropology, bioarchaeology and forensic...
01/07/2019 ∙ by Gary P. T. Choi, et al. ∙ 4 ∙ share

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The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation

With recent breakthroughs in artificial neural networks, deep generative...
11/20/2018 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

Combining deep neural networks with reinforcement learning has shown gre...
11/15/2018 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation

Speech emotion recognition plays an important role in building more inte...
10/30/2018 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Dichromatic Gray Pixel for Camera-agnostic Color Constancy

We propose a novel statistical color constancy method, especially suitab...
03/22/2018 ∙ by Yanlin Qian, et al. ∙ 0 ∙ share

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Learning to Play General Video-Games via an Object Embedding Network

Deep reinforcement learning (DRL) has proven to be an effective tool for...
03/14/2018 ∙ by William Woof, et al. ∙ 0 ∙ share

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On the Longest Spanning Tree with Neighborhoods

We study a maximization problem for geometric network design. Given a se...
12/08/2017 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Three-Stream Convolutional Networks for Video-based Person Re-Identification

This paper aims to develop a new architecture that can make full use of ...
11/22/2017 ∙ by Zeng Yu, et al. ∙ 0 ∙ share

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Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding

Human action recognition refers to automatic recognizing human actions f...
09/15/2017 ∙ by Qian Wang, et al. ∙ 0 ∙ share

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Alternative Semantic Representations for Zero-Shot Human Action Recognition

A proper semantic representation for encoding side information is key to...
06/28/2017 ∙ by Qian Wang, et al. ∙ 0 ∙ share

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Implicit Gradient Neural Networks with a Positive-Definite Mass Matrix for Online Linear Equations Solving

Motivated by the advantages achieved by implicit analogue net for solvin...
03/17/2017 ∙ by Ke Chen, et al. ∙ 0 ∙ share

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Convolutional Low-Resolution Fine-Grained Classification

Successful fine-grained image classification methods learn subtle detail...
03/15/2017 ∙ by Dingding Cai, et al. ∙ 0 ∙ share

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Deploying learning materials to game content for serious education game development: A case study

The ultimate goals of serious education games (SEG) are to facilitate le...
08/04/2016 ∙ by Harits Ar Rosyid, et al. ∙ 0 ∙ share

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On the Use of Sparse Filtering for Covariate Shift Adaptation

In this paper we formally analyse the use of sparse filtering algorithms...
07/22/2016 ∙ by Fabio Massimo Zennaro, et al. ∙ 0 ∙ share

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Deep Structured-Output Regression Learning for Computational Color Constancy

Computational color constancy that requires esti- mation of illuminant c...
07/13/2016 ∙ by Yanlin Qian, et al. ∙ 0 ∙ share

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Zero-Shot Visual Recognition via Bidirectional Latent Embedding

Zero-shot learning for visual recognition, e.g., object and action recog...
07/07/2016 ∙ by Qian Wang, et al. ∙ 0 ∙ share

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Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval

In this paper, the problem of multi-view embedding from different visual...
05/31/2016 ∙ by Guanqun Cao, et al. ∙ 0 ∙ share

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TRIM: Triangulating Images for Efficient Registration

With the advancement in the digital camera technology, the use of high r...
05/20/2016 ∙ by Chun Pang Yung, et al. ∙ 0 ∙ share

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Car Type Recognition with Deep Neural Networks

In this paper we study automatic recognition of cars of four types: Bus,...
02/23/2016 ∙ by Heikki Huttunen, et al. ∙ 0 ∙ share

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Learning Constructive Primitives for Online Level Generation and Real-time Content Adaptation in Super Mario Bros

Procedural content generation (PCG) is of great interest to game design ...
10/27/2015 ∙ by Peizhi Shi, et al. ∙ 0 ∙ share

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Ke Chen

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