Aharon Bar-Hillel

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 22

Top Topics

Lucas Kanade Algorithm

Top Venues

Comput. Electron. Agric.

Mach. Vis. Appl.

Publications

Hanan Mann, Aharon Bar-Hillel, Raffi Lev-Tzion, Shira Greenfeld, Revital Kariv, Natan Lederman, Eran Matz, Iris Dotan, Dan Turner, Boaz Lerner
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease. Artif. Intell. Medicine 145 (2023)
Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Shay Dekel, Yosi Keller, Aharon Bar-Hillel
Deep Convolutional Tables: Deep Learning without Convolutions. CoRR (2023)
Guy Farjon, Aharon Bar-Hillel
Sparse Hierarchical Table Ensemble-A Deep Learning Alternative for Tabular Data. IEEE Access 10 (2022)
Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
Inference Graphs for CNN Interpretation. CoRR (2021)
Faina Khoroshevsky, Stanislav Khoroshevsky, Aharon Bar-Hillel
Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network. Remote. Sens. 13 (13) (2021)
Omer Wosner, Guy Farjon, Aharon Bar-Hillel
Object detection in agricultural contexts: A multiple resolution benchmark and comparison to human. Comput. Electron. Agric. 189 (2021)
Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Omer Tsimhoni, Aharon Bar-Hillel, Naftali Tishby
Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach. CogSci (2020)
Omer Wosner, Guy Farjon, Faina Khoroshevsky, Lena Karol, Oshry Markovich, Daniel A. Koster, Aharon Bar-Hillel
Detection in Agricultural Contexts: Are We Close to Human Level? ECCV Workshops (6) (2020)
Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
Inference Graphs for CNN Interpretation. ECCV (25) (2020)
Faina Khoroshevsky, Stanislav Khoroshevsky, Oshry Markovich, Orit Granitz, Aharon Bar-Hillel
Phenotyping Problems of Parts-per-Object Count. ECCV Workshops (6) (2020)
Adar Vit, Guy Shani, Aharon Bar-Hillel
Length phenotyping with interest point detection. Comput. Electron. Agric. 176 (2020)
Dan Halbersberg, Aharon Bar-Hillel, Shon Mendelson, Daniel A. Koster, Lena Karol, Boaz Lerner
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. CoRR (2020)
Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Aharon Bar-Hillel, Naftali Tishby
Information Constrained Control for Visual Detection of Important Areas. ICASSP (2019)
Adar Vit, Guy Shani, Aharon Bar-Hillel
Length Phenotyping With Interest Point Detection. CVPR Workshops (2019)
Yuval Litvak, Armin Biess, Aharon Bar-Hillel
Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images. ICRA (2019)
Ron M. Hecht, Aharon Bar-Hillel, Ariel Telpaz, Omer Tsimhoni, Naftali Tishby
Information Constrained Control Analysis of Eye Gaze Distribution Under Workload. IEEE Trans. Hum. Mach. Syst. 49 (6) (2019)
Yuval Litvak, Armin Biess, Aharon Bar-Hillel
Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images. CoRR (2018)
Atalya Waissman, Aharon Bar-Hillel
Input-Dependably Feature-Map Pruning. ICANN (1) (2018)
Yotam Itzhaky, Guy Farjon, Faina Khoroshevsky, Alon Shpigler, Aharon Bar-Hillel
Leaf counting: Multiple scale regression and detection using deep CNNs. BMVC (2018)
Eyal Krupka, Kfir Karmon, Noam Bloom, Daniel Freedman, Ilya Gurvich, Aviv Hurvitz, Ido Leichter, Yoni Smolin, Yuval Tzairi, Alon Vinnikov, Aharon Bar-Hillel
Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines. CHI (2017)
Aharon Bar-Hillel, Eyal Krupka, Noam Bloom
Convolutional Tables Ensemble: classification in microseconds. CoRR (2016)
Shaul Oron, Aharon Bar-Hillel, Shai Avidan
Real-time tracking-with-detection for coping with viewpoint change. Mach. Vis. Appl. 26 (4) (2015)
Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avidan
Locally Orderless Tracking. Int. J. Comput. Vis. 111 (2) (2015)
Ron M. Hecht, Aharon Bar-Hillel, Stas Tiomkin, Hadar Levi, Omer Tsimhoni, Naftali Tishby
Cognitive workload and vocabulary sparseness: theory and practice. INTERSPEECH (2015)
Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar-Hillel, Daniel Freedman, Simon Stachniak
Discriminative Ferns Ensemble for Hand Pose Recognition. CVPR (2014)
Shaul Oron, Aharon Bar-Hillel, Shai Avidan
Extended Lucas-Kanade Tracking. ECCV (5) (2014)
Aharon Bar-Hillel, Ronen Lerner, Dan Levi, Guy Raz
Recent progress in road and lane detection: a survey. Mach. Vis. Appl. 25 (3) (2014)
Dan Levi, Shai Silberstein, Aharon Bar-Hillel
Fast Multiple-Part Based Object Detection Using KD-Ferns. CVPR (2013)
Ron M. Hecht, Elad Noor, Gil Dobry, Yaniv Zigel, Aharon Bar-Hillel, Naftali Tishby
Effective Model Representation by Information Bottleneck Principle. IEEE Trans. Speech Audio Process. 21 (8) (2013)
Yaniv Alon, Aharon Bar-Hillel
Off-vehicle evaluation of camera-based pedestrian detection. Intelligent Vehicles Symposium (2012)
Hyunggi Cho, Paul E. Rybski, Aharon Bar-Hillel, Wende Zhang
Real-time pedestrian detection with deformable part models. Intelligent Vehicles Symposium (2012)
Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avidan
Locally Orderless Tracking. CVPR (2012)
Aharon Bar-Hillel, Dmitri Hanukaev, Dan Levi
Fusing visual and range imaging for object class recognition. ICCV (2011)
Aharon Bar-Hillel, Dan Levi, Eyal Krupka, Chen Goldberg
Part-Based Feature Synthesis for Human Detection. ECCV (4) (2010)
Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor
Efficient human computation: the distributed labeling problem. KDD Workshop on Human Computation (2009)
Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor
Efficient Human Computation CoRR (2009)
Aharon Bar-Hillel, Daphna Weinshall
Efficient Learning of Relational Object Class Models. Int. J. Comput. Vis. 77 (1-3) (2008)
Aharon Bar-Hillel, Amir Di-Nur, Liat Ein-Dor, Ran Gilad-Bachrach, Yossi Ittach
Workstation capacity tuning using reinforcement learning. SC (2007)
Aharon Bar-Hillel, Daphna Weinshall
Learning distance function by coding similarity. ICML (2007)
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
Learning a kernel function for classification with small training samples. ICML (2006)
Aharon Bar-Hillel, Daphna Weinshall
Subordinate class recognition using relational object models. NIPS (2006)
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
Object Class Recognition by Boosting a Part-Based Model. CVPR (1) (2005)
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
Efficient Learning of Relational Object Class Models. ICCV (2005)
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
Learning a Mahalanobis Metric from Equivalence Constraints. J. Mach. Learn. Res. 6 (2005)
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
Learning Distance Functions for Image Retrieval. CVPR (2) (2004)
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
Boosting margin based distance functions for clustering. ICML (2004)
Aharon Bar-Hillel, Adam Spiro, Eran Stark
Spike Sorting: Bayesian Clustering of Non-Stationary Data. NIPS (2004)
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
Learning Distance Functions using Equivalence Relations. ICML (2003)
Aharon Bar-Hillel, Daphna Weinshall
Learning with Equivalence Constraints and the Relation to Multiclass Learning. COLT (2003)
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
Computing Gaussian Mixture Models with EM Using Equivalence Constraints. NIPS (2003)
Tomer Hertz, Noam Shental, Aharon Bar-Hillel, Daphna Weinshall
Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. CVPR (2) (2003)