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10/20/2022
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research
Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field...
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04/12/2022
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization
Recent Knowledge distillation (KD) studies show that different manually ...
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04/12/2022
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night
The semantic segmentation of nighttime scenes is a challenging problem t...
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03/08/2022
Image Search with Text Feedback by Additive Attention Compositional Learning
Effective image retrieval with text feedback stands to impact a range of...
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06/24/2021
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
Neural network-based semantic segmentation has achieved remarkable resul...
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12/08/2020
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
Land-cover classification using remote sensing imagery is an important E...
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12/23/2019
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling
That most deep learning models are purely data driven is both a strength...
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07/24/2019
Motion-Aware Feature for Improved Video Anomaly Detection
Motivated by our observation that motion information is the key to good ...
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02/19/2019
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery
This paper develops a deep-learning framework to synthesize a ground-lev...
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12/04/2018
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Semantic segmentation requires large amounts of pixel-wise annotations t...
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10/30/2018
Random Temporal Skipping for Multirate Video Analysis
Current state-of-the-art approaches to video understanding adopt tempora...
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10/30/2018
Gated Transfer Network for Transfer Learning
Deep neural networks have led to a series of breakthroughs in computer v...
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06/13/2018
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
This paper investigates conditional generative adversarial networks (cGA...
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05/07/2018
Learning Optical Flow via Dilated Networks and Occlusion Reasoning
Despite the significant progress that has been made on estimating optica...
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03/22/2018
Towards Universal Representation for Unseen Action Recognition
Unseen Action Recognition (UAR) aims to recognise novel action categorie...
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02/21/2018
Spatial Morphing Kernel Regression For Feature Interpolation
In recent years, geotagged social media has become popular as a novel so...
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02/07/2018
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images
We perform fine-grained land use mapping at the city scale using ground-...
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11/09/2017
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use
This paper performs a quantitative comparison of open-source data availa...
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07/19/2017
DenseNet for Dense Flow
Classical approaches for estimating optical flow have achieved rapid pro...
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06/24/2017
Large-Scale Mapping of Human Activity using Geo-Tagged Videos
This paper is the first work to perform spatio-temporal mapping of human...
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06/11/2017
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval
Remote sensing image retrieval(RSIR), which aims to efficiently retrieve...
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04/11/2017
UC Merced Submission to the ActivityNet Challenge 2016
This notebook paper describes our system for the untrimmed classificatio...
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04/02/2017
Hidden Two-Stream Convolutional Networks for Action Recognition
Analyzing videos of human actions involves understanding the temporal re...
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02/08/2017
Guided Optical Flow Learning
We study the unsupervised learning of CNNs for optical flow estimation u...
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12/22/2016
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning
This paper studies the joint learning of action recognition and temporal...
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10/10/2016
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
Learning powerful feature representations for image retrieval has always...
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09/21/2016
Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos
We perform spatio-temporal analysis of public sentiment using geotagged ...
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09/21/2016
Land Use Classification using Convolutional Neural Networks Applied to Ground-Level Images
Land use mapping is a fundamental yet challenging task in geographic sci...
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08/15/2016