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07/29/2023
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks
Air Quality Monitoring and Forecasting has been a popular research topic...
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06/24/2023
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset
Air quality forecasting has garnered significant attention recently, wit...
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03/17/2023
Causal Discovery from Temporal Data: An Overview and New Perspectives
Temporal data, representing chronological observations of complex system...
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03/12/2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning
Gradient-based meta-learning (GBML) algorithms are able to fast adapt to...
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03/03/2023
A Visual SLAM with Moving Object Trajectory Prediction
Visual Simultaneous Localization and Mapping (SLAM) has received signifi...
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03/02/2023
Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning
High altitude balloons have proved useful for ecological aerial surveys,...
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02/16/2023
A Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
The union of Edge Computing (EC) and Artificial Intelligence (AI) has br...
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10/10/2022
Deep object detection for waterbird monitoring using aerial imagery
Monitoring of colonial waterbird nesting islands is essential to trackin...
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10/10/2022
Learning Credit Assignment for Cooperative Reinforcement Learning
Cooperative multi-agent policy gradient (MAPG) algorithms have recently ...
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10/07/2022
Uniformly convex neural networks and non-stationary iterated network Tikhonov (iNETT) method
We propose a non-stationary iterated network Tikhonov (iNETT) method for...
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09/22/2022
Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation
Reinforcement learning (RL) is an agent-based approach for teaching robo...
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07/22/2022
Dense RGB-D-Inertial SLAM with Map Deformations
While dense visual SLAM methods are capable of estimating dense reconstr...
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07/14/2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
In this paper, we mainly focus on the problem of how to learn additional...
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01/11/2022
A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data
We propose a stochastic gradient descent approach with partitioned-trunc...
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10/06/2021
Autonomous Aerial Delivery Vehicles, a Survey of Techniques on how Aerial Package Delivery is Achieved
Autonomous aerial delivery vehicles have gained significant interest in ...
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07/13/2020
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning
As a concrete application of multi-view learning, multi-view classificat...
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04/21/2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
Skin disease classification from images is crucial to dermatological dia...
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04/16/2020
RGBD-Dog: Predicting Canine Pose from RGBD Sensors
The automatic extraction of animal 3D pose from images without markers i...
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12/18/2019
Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
Few-shot image classification requires the classifier to robustly cope w...
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04/19/2019
Learning Manipulation under Physics Constraints with Visual Perception
Understanding physical phenomena is a key competence that enables humans...
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03/28/2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Few-shot learning in image classification aims to learn a classifier to ...
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12/19/2018
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
We propose a new multi-instance dynamic RGB-D SLAM system using an objec...
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11/01/2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Caricature generation is an interesting yet challenging task. The primar...
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09/03/2018
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Datasets have gained an enormous amount of popularity in the computer vi...
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05/15/2018
Online Deep Metric Learning
Metric learning learns a metric function from training data to calculate...
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11/01/2017
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
Understanding physical phenomena is a key component of human intelligenc...
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09/19/2017
Automatic Structural Scene Digitalization
In this paper, we present an automatic system for the analysis and label...
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03/09/2017
WebCaricature: a benchmark for caricature face recognition
Caricatures are facial drawings by artists with exaggeration on certain ...
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09/29/2016
OPML: A One-Pass Closed-Form Solution for Online Metric Learning
To achieve a low computational cost when performing online metric learni...
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09/15/2016
Visual Stability Prediction and Its Application to Manipulation
Understanding physical phenomena is a key competence that enables humans...
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09/07/2016
Dense Motion Estimation for Smoke
Motion estimation for highly dynamic phenomena such as smoke is an open ...
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03/31/2016
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
Understanding physical phenomena is a key competence that enables humans...
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03/26/2016
Video Interpolation using Optical Flow and Laplacian Smoothness
Non-rigid video interpolation is a common computer vision task. In this ...
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03/26/2016
Nonrigid Optical Flow Ground Truth for Real-World Scenes with Time-Varying Shading Effects
In this paper we present a dense ground truth dataset of nonrigidly defo...
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03/07/2016
Blur Robust Optical Flow using Motion Channel
It is hard to estimate optical flow given a realworld video sequence wit...
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03/07/2016
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences
It is hard to densely track a nonrigid object in long term, which is a f...
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08/13/2014