Computer Vision Lab

Welcome to Computer Vision Lab at UC Merced !

KEYNOTE: Professor Newsam was invited to give a keynote “Geographic knowledge discovery using ground-level images and videos” on 1st Workshop on GeoAI on ACM SIGSPATIAL 2017. [slides]
NEW PAPERS: Two papers have been accepted at ICIP 2018, coming soon!
NEW PAPER: One paper has been accepted at CVPR 2018![pdf]
NEWS:Our paper has been posted on MIT Technology Review! [link]
NEW PAPER:One paper has been accepted at ACM SIGSPATIAL 2018 (oral)!
NEW PAPERS:Three papers have been accepted at ACCV 2018!

Recent Papers

[1] Yi Zhu, Yang Long, Yu Guan, Shawn Newsam and Ling Shao, Towards Universal Representation for Unseen Action Recognition, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 [pdf]
[2] Yi Zhu and Shawn Newsam, Large-Scale Human Activity Mapping using Geo-Tagged Videos, ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS) 2017 [pdf]
[3] Xueing Deng and Shawn Newsam, Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use, ACM SIGSPATIAL workshop on Urban GIS 2017 [pdf]
[4] Weixun Zhou, Shawn Newsam, Congmin Li and Zhenfeng Shao, Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval, Remote Sensing, 2017 [pdf]
[5] Yi Zhu, Zhenzhong Lan, Shawn Newsam, Alexander G. Hauptmann, Hidden Two-Stream Convolutional Networks for Action Recognition, arXiv 2017, [pdf]


Selected Papers

    • Action Recognition

Deep Local Video Feature for Action Recognition
Zhenzhong Lan, Yi Zhu, Alexander G. Hauptmann and Shawn Newsam
IEEE Conference on Computer Vision and Pattern Recognition (CVPR): Workshop on Open Domain Action Recognition (ODAR), 2017 [pdf]

 

Efficient Action Detection in Untrimmed Videos via Multi-Task Learning
Yi Zhu and Shawn Newsam
IEEE Winter Conference on Applications of Computer Vision (WACV), 2017 [pdf]

    • Optical Flow

Guided Optical Flow Learning
Yi Zhu, Zhenzhong Lan, Shawn Newsam and Alexander G. Hauptmann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR): Workshop on Workshop on Brave New Motion Representations (BNMR), 2017 [pdf]
DenseNet for Dense Flow
Yi Zhu and Shawn Newsam
IEEE International Conference on Image Processing (ICIP) 2017 [pdf]

    • Land Use Classification Using Ground-Level Image

Land use classification using convolutional neural networks applied to ground-level images
Yi Zhu and Shawn Newsam
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), 2015 (Best poster award.)[pdf]

 

Exploring geotagged images for land-use classification
Daniel Leung and Shawn Newsam
ACM International Conference on Multimedia: Workshop on Geotagging and Its Applications in Multimedia, 2012 [pdf]

    • Crowdsourcing What-Is-Where

Proximate Sensing: Inferring What-Is-Where From Georeferenced Photo Collection
Daniel Leung and Shawn Newsam
IEEE International Conference on Computer Vision and Pattern Recognition, 2010 (oral presentation) [pdf]

    • Geographic Image Retrieval

Geographic image retrieval using local invariant features
Yi Yang and Shawn Newsam
IEEE Transactions on Geoscience and Remote Sensing, 2013 [pdf]

  • High-Resolution Overhead Imagery Classification

Bag-of-visual-words and spatial extensions for land-use classificatio
Yi Yang and Shawn Newsam
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), 2010 [pdf]