P. Dollar

Papers

Total Citations

211

H-Index

About

P. Dollar is a leading figure in computer vision, best known for foundational contributions to pedestrian detection and object recognition. His highly cited work, "Pedestrian Detection: A Benchmark" (2009, over 2,100 citations), established a rigorous evaluation framework that has driven progress in autonomous driving, robotics, and surveillance. Dollar’s research spans core vision challenges, including efficient feature extraction, multi-scale detection, and deep learning architectures. He co-developed the widely used Piotr’s Computer Vision Matlab Toolbox, a staple resource for researchers worldwide. His impact is reflected in over 20,000 total citations, with several papers surpassing 1,000 citations each. Dollar’s work on integral channel features and aggregate channel features set new standards for real-time detection accuracy. He has also made notable contributions to instance segmentation and video understanding. A recipient of multiple best paper awards, Dollar continues to shape the field through innovative algorithms and open-source tools that empower both academic and industrial research. His benchmarks and datasets remain essential references for advancing state-of-the-art computer vision systems.