| 2023 | WACV | Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning. | Yuxin Tian, Shawn D. Newsam, Kofi Boakye |
| 2022 | CVPR | NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. | Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam |
| 2022 | ECCV | DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization. | Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang |
| 2021 | IGARSS | A Robust Framework to Estimate the Spatial Resolution of Overhead Images Using Off-the-Shelf Object Detectors. | Haolin Liang, Shawn D. Newsam |
| 2021 | WACV | Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. | Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam |
| 2020 | WACV | Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. | Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam |
| 2019 | BMVC | Motion-Aware Feature for Improved Video Anomaly Detection. | Yi Zhu, Shawn D. Newsam |
| 2019 | CVPR | Improving Semantic Segmentation via Video Propagation and Label Relaxation. | Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro |
| 2019 | ICIP | Estimating The Spatial Resolution of Overhead Imagery Using Convolutional Neural Networks. | Haolin Liang, Shawn D. Newsam |
| 2018 | ACCV | Hidden Two-Stream Convolutional Networks for Action Recognition. | Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann |
| 2018 | ACCV | Random Temporal Skipping for Multirate Video Analysis. | Yi Zhu, Shawn D. Newsam |
| 2018 | ACCV | Gated Transfer Network for Transfer Learning. | Yi Zhu, Jia Xue, Shawn D. Newsam |
| 2018 | CVPR | Towards Universal Representation for Unseen Action Recognition. | Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao |
| 2018 | ICIP | Spatial Morphing Kernel Regression for Feature Interpolation. | Xueqing Deng, Yi Zhu, Shawn D. Newsam |
| 2018 | ICIP | Learning Optical Flow via Dilated Networks and Occlusion Reasoning. | Yi Zhu, Shawn D. Newsam |
| 2017 | CVPR | Deep Local Video Feature for Action Recognition. | Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam |
| 2017 | ICIP | DenseNet for dense flow. | Yi Zhu, Shawn D. Newsam |
| 2017 | WACV | Efficient Action Detection in Untrimmed Videos via Multi-task Learning. | Yi Zhu, Shawn D. Newsam |
| 2016 | ECCV | Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. | Yi Zhu, Shawn D. Newsam |
| 2014 | ICPR | Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration. | Yi Yang, Shawn D. Newsam |
| 2012 | WACV | Estimating the spatial extents of geospatial objects using hierarchical models. | Yi Yang, Shawn D. Newsam |
| 2011 | ICCV | Spatial pyramid co-occurrence for image classification. | Yi Yang, Shawn D. Newsam |
| 2011 | WACV | Using visibility cameras to estimate atmospheric light extinction. | Nathan Graves, Shawn D. Newsam |
| 2010 | CVPR | Proximate sensing: Inferring what-is-where from georeferenced photo collections. | Daniel Leung, Shawn D. Newsam |
| 2010 | ICIP | Semi-supervised regression with temporal image sequences. | Ling Xie, Miguel . Carreira-Perpin, Shawn D. Newsam |
| 2008 | ICIP | Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery. | Yi Yang, Shawn D. Newsam |
| 2008 | ISVC | Estimating Atmospheric Visibility Using General-Purpose Cameras. | Ling Xie, Alex Chiu, Shawn D. Newsam |
| 2007 | IPAS | Hierarchical texture motifs. | Shawn D. Newsam |
| 2007 | ISVC | Geographic Image Retrieval Using Interest Point Descriptors. | Shawn D. Newsam, Yang Yang |
| 2006 | IPAS | Comparing shape and texture features for pattern recognition in simulation data. | Shawn D. Newsam, Chandrika Kamath |
| 2005 | KDD | Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW. | Shawn D. Newsam |
| 2004 | CVPR | Normalized Texture Motifs and Their Application to Statistical Object Modeling. | Shawn D. Newsam, B. S. Manjunath |
| 2004 | KDD | Feature selection in scientific applications. | Erick Cant-Paz, Shawn D. Newsam, Chandrika Kamath |
| 2003 | ICIP | Object localization using texture motifs and Markov random fields. | Shawn D. Newsam, Sitaram Bhagavathy, B. S. Manjunath |
| 2002 | ICIP | Modeling object classes in aerial images using hidden Markov models. | Shawn D. Newsam, Sitaram Bhagavathy, B. S. Manjunath |
| 2002 | ICPR | Modeling Object Classes in Aerial Images Using Texture Motifs. | Sitaram Bhagavathy, Shawn D. Newsam, B. S. Manjunath |
| 2001 | ICIP | Category-based image retrieval. | Shawn D. Newsam, Baris Sumengen, B. S. Manjunath |