Trenton Tabor

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Zachary PezzementiPrincipal Robotics Engineer, NREC, Carnegie Mellon UniversityVerified email at nrec.ri.cmu.edu
Jonathan K ChangNational Robotics Engineering Center, Carnegie Mellon UniversityVerified email at nrec.ri.cmu.edu
Carl WellingtonHead of Autonomy, Aurora InnovationVerified email at carlwellington.com
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Benzun Pious Wisely BabuComputer Vision Engineer, Apple IncVerified email at wpi.edu
Peiyun HuApple IncVerified email at apple.com
Philip KoopmanCarnegie Mellon UniversityVerified email at cmu.edu
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Sarah E SchultzCarnegie Mellon UniversityVerified email at cs.cmu.edu
Divam GuptaThe Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Prasanna KannappanGraduate Student at University of DelawareVerified email at udel.edu
Jean OhRobotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Felix JonathanJohns Hopkins UniversityVerified email at jhu.edu

Trenton Tabor

Senior Robotics Engineer, Carnegie Mellon University

Verified email at nrec.ri.cmu.edu

robotics computer vision machine learning


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Comparing apples and oranges: off‐road pedestrian detection on The National robotics engineering center agricultural person‐detection dataset Z Pezzementi, T Tabor, P Hu, JK Chang, D Ramanan, C Wellington, ... Journal of Field Robotics 35 (4), 545-563, 2018	39*	2018
Putting image manipulations in context: robustness testing for safe perception Z Pezzementi, T Tabor, S Yim, JK Chang, B Drozd, D Guttendorf, ... 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2018	36	2018
People in the weeds: Pedestrian detection goes off-road T Tabor, Z Pezzementi, C Vallespi, C Wellington 2015 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2015	12	2015
Revisiting and extending the item difficulty effect model S Schultz, T Tabor In Proceedings of the 1st workshop on massive open online courses at the …, 2013	5	2013
Sbevnet: End-to-end deep stereo layout estimation D Gupta, W Pu, T Tabor, J Schneider Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	4	2022
Going against the grain: Real-time classification of grain quality Z Pezzementi, C Wellington, T Tabor, C Male, H Herman, S Miller Proceedings of the ICRA 2018 Workshop on Robotic Vision and Action in …, 2018	3	2018
Should robotics engineering education include software engineering education? M Zizyte, T Tabor Proceedings of the 4th International Workshop on Robotics Software …, 2022	1	2022
Grain quality control system and method SR Corban, S Miller, WD Todd, H Herman, Z Pezzementi, T Tabor, ... US Patent 11,818,982, 2023		2023
UGV-UAV Object Geolocation in Unstructured Environments D Guttendorf, DW Hamilton, AH Heckman, H Herman, F Jonathan, ... arXiv preprint arXiv:2201.05518, 2022		2022
Grain quality control system and method SR Corban, S Miller, H Herman, Z Pezzementi, T Tabor, J Chang US Patent 11,197,417, 2021		2021
Perception robustness testing at different levels of generality Z Pezzementi, T Tabor, JK Chang, C Tiernan, B Drozd, E Sample, ...		2021
Is it a Bug? Understanding Physical Unit Mismatches in Robot Software P Canelas, T Tabor, JP Ore, A FonsecaΦ, C Le Goues, CS Timperley

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