I am a Sr. Research Scientist at Nuro. I received my PhD from University of Sao Paulo and University of Nantes . I study and build robust and scalable Machine Learning Methods for Computer Vision and Autnonomous Vehicles Perception. My work lies at the intersection of Machine Learning, Image Processing, and Computer Vision.

Publications

Recent publications (for a complete list of publications see GoogleScholar):

	Gated2gated: Self-supervised depth estimation from gated images. Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank Julca-Aguilar, Michael Langer, Werner Ritter, and Felix Heide. IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2022.
	Dirty pixels: Towards end-to-end image processing and perception. Steven Diamond*, Vincent Sitzmann*, Frank Julca-Aguilar*, Stephen Boyd, GordonWetzstein, and Felix Heide. (*Joint first authorship). ACM Transactions on Graphics (TOG), presented at SIGGRAPH, 2021.
	Gated3D: Monocular 3D object detection from temporal illumination cues. Frank Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, and Felix Heide. IEEE International Conference on Computer Vision (ICCV), 2021.
	Gated2depth: Real-time dense lidar from gated images. Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, and Felix Heide. IEEE International Conference on Computer Vision (ICCV), 2019.
	Image operator learning coupled with CNN classification and its application to staff line removal. Frank Julca-Aguilar and Nina Hirata. IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017.
	Text/non-text classification of connected components in document images. Frank Julca-Aguilar, Ana Maia, and Nina Hirata. In 30th Conference on Graphics, Patterns, and Images (SIBGRAPI), 2017.
	Symbol detection in online handwritten graphics using Faster R-CNN. Frank D. Julca-Aguilar and Nina S. T. Hirata. In 13th IAPR International Workshop on Document Analysis Systems (DAS), 2018.
	Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions. Frank Julca-Aguilar, Nina Hirata, Harold Mouchère, and Christian Viard-Gaudin. In 23rd International Conference on Pattern Recognition (ICPR), 2016.
	A general framework for the recognition of online handwritten graphics. Frank Julca-Aguilar and Nina Hirata. International Journal on Document Analysis and Recognition (IJDAR), 2020.
	Expressmatch: A system for creating ground-truthed datasets of online mathematical expressions. Frank D. Julca-Aguilar and Nina S. T. Hirata. In Proceedings of the 10th IAPR International Workshop on Document Analysis Systems (DAS), 2012.
	Matching based ground-truth annotation for online handwritten mathematical expressions. Nina S.T. Hirata and Frank D. Julca-Aguilar. Pattern Recognition (PR), 2015.