The Hong Kong University of Science and Technology

∙ Kowloon, Hong Kong , Hong Kong ∙ 0 followers

The Hong Kong University of Science and Technology is a public research university in Clear Water Bay, Hong Kong.

Deep Generative Learning via Variational Gradient Flow

We propose a general framework to learn deep generative models via Varia...
01/24/2019 ∙ by Gao Yuan, et al. ∙ 42 ∙ share

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DeepHealth: Deep Learning for Health Informatics

Machine learning and deep learning have provided us with an exploration ...
09/01/2019 ∙ by Gloria Hyun-Jung Kwak, et al. ∙ 42 ∙ share

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Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data

Humans are capable of learning a new behavior by observing others to per...
12/24/2019 ∙ by Boyi Liu, et al. ∙ 41 ∙ share

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PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

In this work, we present a novel data-driven method for robust 6DoF obje...
11/11/2019 ∙ by Yisheng He, et al. ∙ 35 ∙ share

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SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization

To overcome the oscillation problem in the classical momentum-based opti...
12/29/2018 ∙ by Dan Wang, et al. ∙ 28 ∙ share

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Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data

Humans are capable of learning a new behavior by observing others perfor...
09/03/2019 ∙ by Boyi Liu, et al. ∙ 27 ∙ share

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Exploration Based Language Learning for Text-Based Games

This work presents an exploration and imitation-learning-based agent cap...
01/24/2020 ∙ by Andrea Madotto, et al. ∙ 27 ∙ share

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Road Damage Detection Based on Unsupervised Disparity Map Segmentation

This paper presents a novel road damage detection algorithm based on uns...
10/11/2019 ∙ by Rui Fan, et al. ∙ 24 ∙ share

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A Communication Efficient Vertical Federated Learning Framework

One critical challenge for applying today's Artificial Intelligence (AI)...
12/24/2019 ∙ by Yang Liu, et al. ∙ 23 ∙ share

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A Survey towards Federated Semi-supervised Learning

The success of Artificial Intelligence (AI) should be largely attributed...
02/26/2020 ∙ by Yilun Jin, et al. ∙ 23 ∙ share

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BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

While deep learning has recently achieved great success on multi-view st...
11/22/2019 ∙ by Yao Yao, et al. ∙ 21 ∙ share

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KFNet: Learning Temporal Camera Relocalization using Kalman Filtering

Temporal camera relocalization estimates the pose with respect to each v...
03/24/2020 ∙ by Lei Zhou, et al. ∙ 21 ∙ share

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LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

We propose a local adversarial disentangling network (LADN) for facial m...
04/25/2019 ∙ by Qiao Gu, et al. ∙ 20 ∙ share

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Easy Transfer Learning By Exploiting Intra-domain Structures

Transfer learning aims at transferring knowledge from a well-labeled dom...
04/02/2019 ∙ by Jindong Wang, et al. ∙ 18 ∙ share

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Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator

Over the past decade, significant efforts have been made to improve the ...
05/17/2020 ∙ by Rui Fan, et al. ∙ 18 ∙ share

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Approximation in shift-invariant spaces with deep ReLU neural networks

We construct deep ReLU neural networks to approximate functions in dilat...
05/25/2020 ∙ by Yunfei Yang, et al. ∙ 18 ∙ share

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Misinformation has High Perplexity

Debunking misinformation is an important and time-critical task as there...
06/08/2020 ∙ by Nayeon Lee, et al. ∙ 18 ∙ share

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TransOMCS: From Linguistic Graphs to Commonsense Knowledge

Commonsense knowledge acquisition is a key problem for artificial intell...
05/01/2020 ∙ by Hongming Zhang, et al. ∙ 16 ∙ share

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Building Ethics into Artificial Intelligence

As artificial intelligence (AI) systems become increasingly ubiquitous, ...
12/07/2018 ∙ by Han Yu, et al. ∙ 14 ∙ share

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RPN: A Residual Pooling Network for Efficient Federated Learning

Federated learning is a new machine learning framework which enables dif...
01/23/2020 ∙ by Anbu Huang, et al. ∙ 14 ∙ share

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How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

Deep learning based models have excelled in many computer vision task an...
07/15/2020 ∙ by Yikai Wang, et al. ∙ 14 ∙ share

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Plug and Play Language Models: a Simple Approach to Controlled Text Generation

Large transformer-based language models (LMs) trained on huge text corpo...
12/04/2019 ∙ by Sumanth Dathathri, et al. ∙ 13 ∙ share

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STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

We propose a new STAcked and Reconstructed Graph Convolutional Networks ...
05/27/2019 ∙ by Jiani Zhang, et al. ∙ 12 ∙ share

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Real-time Scalable Dense Surfel Mapping

In this paper, we propose a novel dense surfel mapping system that scale...
09/10/2019 ∙ by Kaixuan Wang, et al. ∙ 12 ∙ share

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Universal Masking is Urgent in the COVID-19 Pandemic: SEIR and Agent Based Models, Empirical Validation, Policy Recommendations

We present two models for the COVID-19 pandemic predicting the impact of...
04/22/2020 ∙ by De Kai, et al. ∙ 12 ∙ share

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WeightNet: Revisiting the Design Space of Weight Networks

We present a conceptually simple, flexible and effective framework for w...
07/23/2020 ∙ by Ningning Ma, et al. ∙ 12 ∙ share

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Marketplace for AI Models

Artificial intelligence shows promise for solving many practical societa...
03/03/2020 ∙ by Abhishek Kumar, et al. ∙ 11 ∙ share

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Point-cloud-based place recognition using CNN feature extraction

This paper proposes a novel point-cloud-based place recognition system t...
10/23/2018 ∙ by Ting Sun, et al. ∙ 10 ∙ share

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Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts

In this paper, we present a joint multi-task learning framework for sema...
04/16/2020 ∙ by Mingmin Zhen, 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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Decomposition of Longitudinal Deformations via Beltrami Descriptors

We present a mathematical model to decompose a longitudinal deformation ...
08/06/2020 ∙ by Ho Law, et al. ∙ 10 ∙ share

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RuleMatrix: Visualizing and Understanding Classifiers with Rules

With the growing adoption of machine learning techniques, there is a sur...
07/17/2018 ∙ by Yao Ming, et al. ∙ 9 ∙ share

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SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence

In this paper, we study the problem of multi-view sketch correspondence,...
01/16/2020 ∙ by Deng Yu, et al. ∙ 9 ∙ share

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Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak

Since December 2019, the coronavirus disease 2019 (COVID-19) has spread ...
04/16/2020 ∙ by Tianyu Liu, et al. ∙ 9 ∙ share

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Bike Flow Prediction with Multi-Graph Convolutional Networks

One fundamental issue in managing bike sharing systems is the bike flow ...
07/28/2018 ∙ by Di Chai, et al. ∙ 8 ∙ share

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A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Accurate state estimation is a fundamental problem for autonomous robots...
01/11/2019 ∙ by Tong Qin, et al. ∙ 8 ∙ share

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DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking

Psychological studies have found that human visual tracking system invol...
08/02/2019 ∙ by Zhenmei Shi, et al. ∙ 8 ∙ share

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Learning Driving Decisions by Imitating Drivers' Control Behaviors

Classical autonomous driving systems are modularized as a pipeline of pe...
11/30/2019 ∙ by Junning Huang, et al. ∙ 8 ∙ share

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GEDDnet: A Network for Gaze Estimation with Dilation and Decomposition

Appearance-based gaze estimation from RGB images provides relatively unc...
01/25/2020 ∙ by Zhaokang Chen, et al. ∙ 8 ∙ share

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Transfer Learning with Dynamic Distribution Adaptation

Transfer learning aims to learn robust classifiers for the target domain...
09/17/2019 ∙ by Jindong Wang, et al. ∙ 7 ∙ share

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Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency

The self-supervised learning of depth and pose from monocular sequences ...
09/19/2019 ∙ by Tianwei Shen, et al. ∙ 7 ∙ share

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Privacy Threats Against Federated Matrix Factorization

Matrix Factorization has been very successful in practical recommendatio...
07/03/2020 ∙ by Dashan Gao, et al. ∙ 7 ∙ share

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GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

Learned local descriptors based on Convolutional Neural Networks (CNNs) ...
07/17/2018 ∙ by Zixin Luo, et al. ∙ 6 ∙ share

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Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising

Non-local low-rank tensor approximation has been developed as a state-of...
12/11/2018 ∙ by Wei He, et al. ∙ 6 ∙ share

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Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text

Collaborative filtering (CF) is the key technique for recommender system...
01/22/2019 ∙ by Guangneng Hu, et al. ∙ 6 ∙ share

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SecureBoost: A Lossless Federated Learning Framework

The protection of user privacy is an important concern in machine learni...
01/25/2019 ∙ by Kewei Cheng, et al. ∙ 6 ∙ share

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ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning

To relieve the pain of manually selecting machine learning algorithms an...
02/13/2019 ∙ by Qianwen Wang, et al. ∙ 6 ∙ share

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Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis

High-level synthesis (HLS) shortens the development time of hardware des...
05/06/2019 ∙ by Jieru Zhao, et al. ∙ 6 ∙ share

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Joint Multi-Dimension Pruning

We present joint multi-dimension pruning (named as JointPruning), a new ...
05/18/2020 ∙ by Zechun Liu, et al. ∙ 6 ∙ share

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Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer

Data augmentation have been intensively used in training deep neural net...
06/27/2020 ∙ by Qian Li, et al. ∙ 6 ∙ share

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