Aditya Jonnalagadda

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Landmark Detection

Generalized Hough Transform

Driver Assistance Systems

Partial Occlusion

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Proc. ACM Comput. Graph. Interact. Tech.

Publications

Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein
Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. CoRR (2024)
Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. CoRR (2024)
Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim
Robust Vision-Based Cheat Detection in Competitive Gaming. Proc. ACM Comput. Graph. Interact. Tech. 4 (1) (2021)
Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim
Robust Vision-Based Cheat Detection in Competitive Gaming. CoRR (2021)
Aditya Jonnalagadda, William Wang, Miguel P. Eckstein
FoveaTer: Foveated Transformer for Image Classification. CoRR (2021)
Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Towards Metamerism via Foveated Style Transfer. ICLR (Poster) (2019)
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Towards Metamerism via Foveated Style Transfer. CoRR (2017)