Publications

Selected papers across all topics, or all papers, organized chronologically or by publication type, or focussed on specific topics:

• Visual and geometric inference for robot perception, virtual reality and environmental measurement.
• Machine Learning and Big Data, algorithms and applications to large scale visual analytics.
• Social Computing from a visual perspective.

I am especially happy that many of these papers have undergraduate co-authors.

2023
[150]	DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization (Honglu Jiang, Haotian Yu, Xiuzhen Cheng, Jian Pei, Robert Pless, Jiguo Yu), In IEEE Transactions on Knowledge and Data Engineering, IEEE, 2023. [bib] [pdf]
2022
[149]	What Does Learning About Time Tell About Outdoor Scenes? (Zeyu Zhang, Callista Baker, Noor Azam-Naseeruddin, Jingzhou Shen, Robert Pless), In 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2022. [bib] [pdf]
[148]	Comparing deep learning approaches for understanding genotype$\times$ phenotype interactions in biomass sorghum (Zeyu Zhang, Madison Pope, Nadia Shakoor, Robert Pless, Todd C Mockler, Abby Stylianou), In Frontiers in Artificial Intelligence, Frontiers, volume 5, 2022. [bib] [pdf]
[147]	Visualizing Paired Image Similarity in Transformer Networks (Samuel Black, Abby Stylianou, Robert Pless, Richard Souvenir), In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022. [bib] [pdf]
2021
[146]	Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum (Abby Stylianou, Robert Pless, Nadia Shakoor, Todd Mockler), In Proceedings of the IEEE/CVF International Conference on Computer Vision (CVPPA Workshop), 2021. [bib] [pdf]
[145]	DCAP: Deep Cross Attentional Product Network for User Response Prediction (Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng), In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021. [bib] [pdf]
2020
[144]	Improved embeddings with easy positive triplet mining (Hong Xuan, Abby Stylianou, Robert Pless), In The IEEE Winter Conference on Applications of Computer Vision, 2020. [bib]
[143]	Hard negative examples are hard, but useful (Hong Xuan, Abby Stylianou, Xiaotong Liu, Robert Pless), In Proc. European Conference on Computer Vision (ECCV), 2020. [bib] [pdf]
[142]	2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets (Xiaotong Liu, Zeyu Zhang, Hong Xuan, Roxana Leontie, Abby Stylianou, Robert Pless), In Proc. IEEE Workshop on Applications of Computer Vision, 2020. [bib] [pdf]
[141]	Direct Estimation of Surface Strain Fields From a Stereo Vision System (Stavros Thomopoulos, Guy M Genin), In Journal of Biomechanical Engineering, American Society of Mechanical Engineers Digital Collection, volume 142, 2020. [bib]
2019
[140]	Learning geo-temporal image features (Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs), In British Machine Vision Conference (BMVC), 2019. [bib]
[139]	High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat (Xu Wang, Hong Xuan, Byron Evers, Sandesh Shrestha, Robert Pless, Jesse Poland), In GigaScience, Oxford University Press, volume 8, 2019. [bib]
[138]	TraffickCam: Explainable Image Matching For Sex Trafficking Investigations (Abby Stylianou, Richard Souvenir, Robert Pless), In AAAI Fall Symposium, 2019. [bib]
[137]	Camera calibration with lenticular arrays (Ian Schillebeeckx, Robert Pless), US Patent 10,455,138, 2019. (US Patent 10,455,138) [bib]
[136]	Regularization-Free Strain Mapping in Three Dimensions, With Application to Cardiac Ultrasound (John J Boyle, Arvin Soepriatna, Frederick Damen, Roger A Rowe, Robert B Pless, Attila Kovacs, Craig J Goergen, Stavros Thomopoulos, Guy M Genin), In Journal of biomechanical engineering, American Society of Mechanical Engineers, volume 141, 2019. [bib]
[135]	Visualizing Deep Similarity Networks (Richard Souvenir Abby Stylianou, Robert Pless), In IEEE Winter Conference on Computer Vision (WACV), 2019. [bib] [pdf]
[134]	Hotels-50K: A Global Hotel Recognition Dataset (Abby Stylianou, Hong Xuan, Maya Shende, Richard Souvenir, Robert Pless), In AAAI, 2019. [bib] [pdf]
2018
[133]	Characterizing the Visual Social Media Environment of Eating Disorders (Samsara N Counts, Justine-Louise Manning, Robert Pless), In 2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2018. [bib]
[132]	System and method for quantifying deformation, disruption, and development in a sample (John J Boyle, Guy M Genin, Maiko Kume, Robert B Pless, Stavros Thomopoulos), US Patent 10,072,924, Google Patents, 2018. (US Patent 10,072,924) [bib]
[131]	Anomaly Explanation Using Metadata (Di Qi, Joshua Arfin, Mengxue Zhang, Tushar Mathew, Brendan Juba, Robert Pless), In Proc. IEEE Workshop on Applications of Computer Vision, 2018. [bib]
[130]	Deep Randomized Ensembles for Metric Learning (Hong Xuan, Richard Souvenir, Robert Pless), In Proc. European Conference on Computer Vision (ECCV), 2018. [bib] [pdf]
2017
[129]	TraffickCam: Crowdsourced and Computer Vision Based Approaches to Fighting Sex Trafficking (Abby Stylianou, Jessica Schreier, Richard Souvenir, Robert Pless), In 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2017. [bib]
[128]	Deep Feature Interpolation for Image Content Changes (Paul Upchurch, Jacob Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Weinberger), In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [bib]
[127]	Recognizing​ ​Images​ ​of​ ​Eating​ ​Disorders​ ​in​ ​Social​ ​Media​ ​(Abstract) (Robert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski), In Proceedings of the 2nd Social Media Mining for Health Applications Workshop & Shared Task, 2017. [bib] [pdf]
[126]	Self calibrating lenticular markers and articulated pose estimation (Hong Xuan, Ian Schillebeeckx, Robert Pless), 2017. [bib] [pdf]