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12/17/2019
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
The comparative losses (typically, triplet loss) are appealing choices f...
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12/13/2019
A Practical Solution for SAR Despeckling with Only Single Speckled Images
In this letter, we aim to address synthetic aperture radar (SAR) despeck...
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11/26/2019
Cracking In-Memory Database Index A Case Study for Adaptive Radix Tree Index
Indexes provide a method to access data in databases quickly. It can imp...
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11/26/2019
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
Many real-world applications, such as city-scale traffic monitoring and ...
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11/07/2019
Mining Bursting Communities in Temporal Graphs
Temporal graphs are ubiquitous. Mining communities that are bursting in ...
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10/07/2019
Designing Interfaces to Help Stakeholders Comprehend, Navigate, and Manage Algorithmic Trade-Offs
Artificial intelligence algorithms have been applied to a wide variety o...
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09/15/2019
Machine Discovery of Partial Differential Equations from Spatiotemporal Data
The study presents a general framework for discovering underlying Partia...
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08/05/2019
Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network
Despeckling is a key and indispensable step in SAR image preprocessing, ...
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08/03/2019
ABD-Net: Attentive but Diverse Person Re-Identification
Attention mechanism has been shown to be effective for person re-identif...
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04/09/2019
UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
The UG^2+ challenge in IEEE CVPR 2019 aims to evoke a comprehensive disc...
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04/01/2019
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series
This paper proposes a novel fault diagnosis approach based on generative...
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03/26/2019
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)
Takagi-Sugeno-Kang (TSK) fuzzy systems are very useful machine learning ...
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02/19/2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
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01/28/2019
Bridging the Gap Between Computational Photography and Visual Recognition
What is the current state-of-the-art for image restoration and enhanceme...
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12/08/2018
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks
In industrial applications, nearly half the failures of motors are cause...
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10/11/2018
A Comparative Study of Consistent Snapshot Algorithms for Main-Memory Database Systems
In-memory databases (IMDBs) are gaining increasing popularity in big dat...
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10/01/2018
Data-driven Discovery of Cyber-Physical Systems
Cyber-physical systems (CPSs) embed software into the physical world. Th...
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04/18/2018
SFace: An Efficient Network for Face Detection in Large Scale Variations
Face detection serves as a fundamental research topic for many applicati...
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11/20/2017
Face Attention Network: An Effective Face Detector for the Occluded Faces
The performance of face detection has been largely improved with the dev...
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07/05/2017
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification
We report on CMU Informedia Lab's system used in Google's YouTube 8 Mill...
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02/27/2017
Understanding Convolution for Semantic Segmentation
Recent advances in deep learning, especially deep convolutional neural n...
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12/08/2016
Joint Hand Detection and Rotation Estimation by Using CNN
Hand detection is essential for many hand related tasks, e.g. parsing ha...
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11/06/2016
Words or Characters? Fine-grained Gating for Reading Comprehension
Previous work combines word-level and character-level representations us...
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05/25/2016
