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Article
A real-time detector of chicken healthy status based on modified YOLO
In modern times, the development of an intelligent system that can automatically detect and recognize poultry diseases is vital for efficient poultry farming and for reducing human workloads. This paper presen...
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Chapter and Conference Paper
CPSCoach: The Design and Implementation of Intelligent Collaborative Problem Solving Feedback
We present the design of CPSCoach, a fully-automated system that assesses and provides feedback on collaborative problem solving (CPS) competencies during remote collaborations. We leveraged existing data to d...
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Chapter and Conference Paper
Analysis of the Relationship Between the Passenger Flow and Surrounding Land Use Types at the Subway Stations of the Batong Subway Line of Beijing Based on Remote Sensing Images
Taking the Batong Line of Beijing subway as our research object, it includes nine stations, such as Communication Univ. of China Station, Shuang Qiao Station and soon on. The attraction range of passenger flow...
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Chapter and Conference Paper
The Optimization Method of the Layout of Integrated Passenger Transport Terminals in Beijing-Tianjin- Hebei Urban Agglomeration
In order to meet the demand for passenger transport and improve the overall operation efficiency of the integrated passenger transport system in the region within the urban agglomeration, the optimization meth...
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Chapter and Conference Paper
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency
YouTube users looking for instructions for a specific task may spend a long time browsing content trying to find the right video that matches their needs. Creating a visual summary (abridged version of a video...
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Chapter and Conference Paper
Learning Audio-Video Modalities from Image Captions
There has been a recent explosion of large-scale image-text datasets, as images with alt-text captions can be easily obtained online. Obtaining large-scale, high quality data for video in the form of text-vide...
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Reference Work Entry In depth
Massive MIMO BDMA Transmission
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Chapter and Conference Paper
Multi-modal Transformer for Video Retrieval
The task of retrieving video content relevant to natural language queries plays a critical role in effectively handling internet-scale datasets. Most of the existing methods for this caption-to-video retrieval...
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Chapter and Conference Paper
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos
Despite the recent advances in video classification, progress in spatio-temporal action recognition has lagged behind. A major contributing factor has been the prohibitive cost of annotating videos frame-by-fr...
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Chapter and Conference Paper
Snapshot Multiplexed Imaging Based on Compressive Sensing
Multiplexed imaging methods have been proposed to extend the field of view (FoV) of the imaging devices. However, the nature of multiple exposures hinders its application in time-crucial scenarios. In this pap...
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Chapter and Conference Paper
Machine Learning-Aided Radio Scenario Recognition for Cognitive Radio Networks in Millimeter-Wave Bands
Radio scenario recognition is critically important to acquire comprehensive situation awareness for cognitive radio networks in the millimeter-wave bands, especially for dense small cell environment. In this p...
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Living Reference Work Entry In depth
Massive MIMO BDMA Transmission
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Chapter and Conference Paper
Inter-operator Interference Coordination in the Spectrum-Sharing Overlapping Area
With the widespread application of dynamic spectrum access technology, sharing spectrum with the same primary systems by multiple operators will become a common scenario. Serious co-channel interference (CCI) ...
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Chapter and Conference Paper
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Despite the steady progress in video analysis led by the adoption of convolutional neural networks (CNNs), the relative improvement has been less drastic as that in 2D static image classification. Three main c...
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Chapter and Conference Paper
Actor-Centric Relation Network
Current state-of-the-art approaches for spatio-temporal action localization rely on detections at the frame level and model temporal context with 3D ConvNets. Here, we go one step further and model spatio-temp...
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Chapter and Conference Paper
A Neural Autoregressive Framework for Collaborative Filtering
Restricted Boltzmann Machine (RBM) is a two layer undirected graph model that capable to represent complex distributions. Recent research has shown RBM-based approach has comparable performance with or even be...
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Chapter and Conference Paper
AllSome Sequence Bloom Trees
The ubiquity of next generation sequencing has transformed the size and nature of many databases, pushing the boundaries of current indexing and searching methods. One particular example is a database of 2,652...
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Chapter and Conference Paper
A Two-Stage Precoding Algorithm for Spectrum Access Systems with Different Priorities of Spectrum Utilization
In this paper, a two-stage precoding algorithm, termed as subspace-projection prioritized signal-to-leakage-and-noise ratio (SP-PSLNR) algorithm, is proposed for dynamic spectrum access systems with different ...
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Chapter and Conference Paper
Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames
Video recognition usually requires a large amount of training samples, which are expensive to be collected. An alternative and cheap solution is to draw from the large-scale images and videos from the Web. Wit...
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Chapter and Conference Paper
Semantic Aware Video Transcription Using Random Forest Classifiers
This paper focuses on transcription generation in the form of subject, verb, object (SVO) triplets for videos in the wild, given off-the-shelf visual concept detectors. This problem is challenging due to the a...