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Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
Semantic segmentation of 3D point clouds relies on training deep models ...
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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...
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LINDT: Tackling Negative Federated Learning with Local Adaptation
Federated Learning (FL) is a promising distributed learning paradigm, wh...
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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...
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Nearly sharp structured sketching for constrained optimization
In this work, we study a tensor-structured random sketching matrix to pr...
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Feature Importance Ranking for Deep Learning
Feature importance ranking has become a powerful tool for explainable AI...
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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...
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POP909: A Pop-song Dataset for Music Arrangement Generation
Music arrangement generation is a subtask of automatic music generation,...
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MusPy: A Toolkit for Symbolic Music Generation
In this paper, we present MusPy, an open source Python library for symbo...
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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...
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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...
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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...
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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...
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Multiparty Selection
Given a sequence A of n numbers and an integer (target) parameter 1≤ i≤ ...
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Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Unsupervised domain adaptation (UDA) is to make predictions for unlabele...
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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 ...
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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...
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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...
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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...
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Cascading Convolutional Color Constancy
Regressing the illumination of a scene from the representations of objec...
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Geometry-aware Generation of Adversarial and Cooperative Point Clouds
Recent studies show that machine learning models are vulnerable to adver...
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Towards Further Understanding of Sparse Filtering via Information Bottleneck
In this paper we examine a formalization of feature distribution learnin...
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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...
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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 (...
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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 ...
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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...
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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...
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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...
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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...
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Structured Knowledge Distillation for Semantic Segmentation
In this paper, we investigate the knowledge distillation strategy for tr...
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Tooth morphometry using quasi-conformal theory
Shape analysis is important in anthropology, bioarchaeology and forensic...
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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...
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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...
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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...
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Dichromatic Gray Pixel for Camera-agnostic Color Constancy
We propose a novel statistical color constancy method, especially suitab...
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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...
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On the Longest Spanning Tree with Neighborhoods
We study a maximization problem for geometric network design. Given a se...
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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 ...
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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...
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Alternative Semantic Representations for Zero-Shot Human Action Recognition
A proper semantic representation for encoding side information is key to...
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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...
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Convolutional Low-Resolution Fine-Grained Classification
Successful fine-grained image classification methods learn subtle detail...
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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...
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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...
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Deep Structured-Output Regression Learning for Computational Color Constancy
Computational color constancy that requires esti- mation of illuminant c...
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Zero-Shot Visual Recognition via Bidirectional Latent Embedding
Zero-shot learning for visual recognition, e.g., object and action recog...
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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...
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TRIM: Triangulating Images for Efficient Registration
With the advancement in the digital camera technology, the use of high r...
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Car Type Recognition with Deep Neural Networks
In this paper we study automatic recognition of cars of four types: Bus,...
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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 ...
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