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11/05/2022
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification
In this paper, we present a robust and low complexity deep learning mode...
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11/24/2021
SM3D: Simultaneous Monocular Mapping and 3D Detection
Mapping and 3D detection are two major issues in vision-based robotics, ...
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11/24/2021
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images
Real-scale scene flow estimation has become increasingly important for 3...
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12/26/2020
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
This paper proposes a robust deep learning framework used for classifyin...
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09/26/2020
An Adaptive EM Accelerator for Unsupervised Learning of Gaussian Mixture Models
We propose an Anderson Acceleration (AA) scheme for the adaptive Expecta...
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06/25/2020
Domain Decomposition Parabolic Monge-Ampère Approach for Fast Generation of Adaptive Moving Meshes
A fast method is presented for adaptive moving mesh generation in multi-...
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06/28/2018
Accurate and efficient video de-fencing using convolutional neural networks and temporal information
De-fencing is to eliminate the captured fence on an image or a video, pr...
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05/16/2017
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems
Deep convolutional Neural Networks (CNN) are the state-of-the-art perfor...
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01/20/2016
Detecting Temporally Consistent Objects in Videos through Object Class Label Propagation
Object proposals for detecting moving or static video objects need to ad...
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09/04/2015
Semantic Video Segmentation : Exploring Inference Efficiency
We explore the efficiency of the CRF inference beyond image level semant...
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07/01/2015