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09/16/2023
Intention-Aware Planner for Robust and Safe Aerial Tracking
The intention of the target can help us to estimate its future motion st...
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08/18/2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
The data-hungry problem, characterized by insufficiency and low-quality ...
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07/07/2023
Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network
Recently, the transformation of standard dynamic range TV (SDRTV) to hig...
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06/10/2023
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark
With the availability of large-scale, comprehensive, and general-purpose...
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04/10/2023
Meta Compositional Referring Expression Segmentation
Referring expression segmentation aims to segment an object described by...
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03/27/2023
Collaborative Authentication for 6G Networks: An Edge Intelligence based Autonomous Approach
The conventional device authentication of wireless networks usually reli...
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02/02/2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Graphs consisting of vocal nodes ("the vocal minority") and silent nodes...
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12/09/2022
The Subfield Codes of Some Few-Weight Linear Codes
Subfield codes of linear codes over finite fields have recently received...
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10/12/2022
Individualized Conditioning and Negative Distances for Speaker Separation
Speaker separation aims to extract multiple voices from a mixed signal. ...
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10/03/2022
Heatmap Distribution Matching for Human Pose Estimation
For tackling the task of 2D human pose estimation, the great majority of...
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09/27/2022
Hypothesis Testing for Detecting Outlier Evaluators
In epidemiological studies, very often, evaluators obtain measurements o...
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08/18/2022
Near-MDS Codes from Maximal Arcs in PG(2,q)
The singleton defect of an [n,k,d] linear code C is defined as s( C)=n-k...
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08/14/2022
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping
Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance...
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07/15/2022
Renyi Entropy Rate of Stationary Ergodic Processes
In this paper, we examine the Renyi entropy rate of stationary ergodic p...
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07/01/2022
SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping
In this work, we address the task of SDR videos to HDR videos(SDRTV-to-H...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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05/19/2022
Prediction for Distributional Outcomes in High-Performance Computing I/O Variability
Although high-performance computing (HPC) systems have been scaled to me...
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01/24/2022
Design Strategies and Approximation Methods for High-Performance Computing Variability Management
Performance variability management is an active research area in high-pe...
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12/15/2021
Transcoded Video Restoration by Temporal Spatial Auxiliary Network
In most video platforms, such as Youtube, and TikTok, the played videos ...
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12/05/2021
Optimal quaternary (r,δ)-Locally Recoverable Codes: Their Structures and Complete Classification
Aiming to recover the data from several concurrent node failures, linear...
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11/09/2021
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Artificial intelligence (AI) systems have become increasingly popular in...
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09/23/2021
Recent Advances of Continual Learning in Computer Vision: An Overview
In contrast to batch learning where all training data is available at on...
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08/18/2021
The Multi-Modal Video Reasoning and Analyzing Competition
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
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03/29/2021
TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Traffic event cognition and reasoning in videos is an important task tha...
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03/07/2021
LCD Codes from tridiagonal Toeplitz matrice
Double Toeplitz (DT) codes are codes with a generator matrix of the form...
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02/18/2021
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
Medical visual question answering (Med-VQA) has tremendous potential in ...
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02/18/2021
On isodual double Toeplitz codes
Double Toeplitz (shortly DT) codes are introduced here as a generalizati...
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01/06/2021
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
Computer experiments with both qualitative and quantitative factors are ...
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12/14/2020
Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations
Performance variability is an important measure for a reliable high perf...
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09/16/2019
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data
We address the problem of learning to benchmark the best achievable clas...
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09/05/2019
Effective Domain Knowledge Transfer with Soft Fine-tuning
Convolutional neural networks require numerous data for training. Consid...
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07/27/2019
Dilated FCN: Listening Longer to Hear Better
Deep neural network solutions have emerged as a new and powerful paradig...
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06/29/2019
On the number of resolvable Steiner triple systems of small 3-rank
In a recent work, Jungnickel, Magliveras, Tonchev, and Wassermann derive...
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12/26/2018
MIMO Channel Interpolation via Tucker Decomposed Extreme Learning Machine
Channel interpolation is an essential technique for providing high-accur...
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11/09/2018
On isodual double polycirculant codes
Double polycirculant codes are introduced here as a generalization of do...
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09/17/2018
Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence
Lyme disease is an infectious disease that is caused by a bacterium call...
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08/24/2018
Applications of the Fractional-Random-Weight Bootstrap
The bootstrap, based on resampling, has, for several decades, been a wid...
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07/26/2017
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning
Single image super resolution (SR), which refers to reconstruct a higher...
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07/25/2016
Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning
Recently, machine learning based single image super resolution (SR) appr...
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07/17/2015
Deep Multimodal Speaker Naming
Automatic speaker naming is the problem of localizing as well as identif...
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01/29/2015
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
We recently have witnessed many ground-breaking results in machine learn...
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08/11/2014
Hierarchical Saliency Detection on Extended CSSD
Complex structures commonly exist in natural images. When an image conta...
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08/08/2014
An Evasion and Counter-Evasion Study in Malicious Websites Detection
Malicious websites are a major cyber attack vector, and effective detect...
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10/13/2013