Tombari, Federico

Unique Signatures of Histograms for Local Surface Description

Tombari, F., Salti, S., & Di Stefano, L. (2010) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisAdvanced Image and Video Retrieval Techniques

Cited by 1,480

SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

Kehl, W., Manhardt, F., Tombari, F., Ilic, S., & Navab, N. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 1,047

CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction

Tateno, K., Tombari, F., Laina, I., & Navab, N. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 800

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Zeng, A., Attarian, M., Ichter, B., Choromanski, K., Wong, A., Welker, S., Tombari, F., Purohit, A., Ryoo, M., Sindhwani, V., et al. (2022) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 205

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks

Grün, F., Rupprecht, C., Navab, N., & Tombari, F. (2016) · arXiv

Advanced Neural Network ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 49

Deep convolutional neural networks for automatic identification of epileptic seizures in infrared and depth images

Achilles, F., Belagiannis, V., Tombari, F., Loesch, A. M., Cunha, J. P. S., Navab, N., & Noachtar, S. (2015) · Journal of the Neurological Sciences

EEG and Brain-Computer InterfacesEpilepsy research and treatment

Cited by 8