Aharon Bar-Hillel

55 papers A* 12A 3B 3Misc 1Journal 21Unranked 14

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images. Comput. Electron. Agric. Faina Khoroshevsky, Kaining Zhou, Aharon Bar-Hillel, Ofer Hadar, Shimon Rachmilevitch, Jhonathan E. Ephrath, Naftali Lazarovitch, Yael Edan
2024	J	`jnl`	Deep Convolutional Tables: Deep Learning Without Convolutions. IEEE Trans. Neural Networks Learn. Syst. Shay Dekel, Yosi Keller, Aharon Bar-Hillel
2023	J	`jnl`	Deep Convolutional Tables: Deep Learning without Convolutions. CoRR Shay Dekel, Yosi Keller, Aharon Bar-Hillel
2023	J	`jnl`	Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease. Artif. Intell. Medicine Hanan Mann, Aharon Bar-Hillel, Raffi Lev-Tzion, Shira Greenfeld, Revital Kariv, Natan Lederman, Eran Matz, Iris Dotan, Dan Turner, Boaz Lerner
2023	J	`jnl`	SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
2022	J	`jnl`	Sparse Hierarchical Table Ensemble-A Deep Learning Alternative for Tabular Data. IEEE Access Guy Farjon, Aharon Bar-Hillel
2021	J	`jnl`	Inference Graphs for CNN Interpretation. CoRR Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
2021	J	`jnl`	Object detection in agricultural contexts: A multiple resolution benchmark and comparison to human. Comput. Electron. Agric. Omer Wosner, Guy Farjon, Aharon Bar-Hillel
2021	J	`jnl`	Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network. Remote. Sens. Faina Khoroshevsky, Stanislav Khoroshevsky, Aharon Bar-Hillel
2020	—	`conf`	Detection in Agricultural Contexts: Are We Close to Human Level? ECCV Workshops (6) Omer Wosner, Guy Farjon, Faina Khoroshevsky, Lena Karol, Oshry Markovich, Daniel A. Koster, Aharon Bar-Hillel
2020	—	`conf`	Inference Graphs for CNN Interpretation. ECCV (25) Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
2020	J	`jnl`	Length phenotyping with interest point detection. Comput. Electron. Agric. Adar Vit, Guy Shani, Aharon Bar-Hillel
2020	B	`conf`	Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach. CogSci Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Omer Tsimhoni, Aharon Bar-Hillel, Naftali Tishby
2020	—	`conf`	Phenotyping Problems of Parts-per-Object Count. ECCV Workshops (6) Faina Khoroshevsky, Stanislav Khoroshevsky, Oshry Markovich, Orit Granitz, Aharon Bar-Hillel
2020	J	`jnl`	Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. CoRR Dan Halbersberg, Aharon Bar-Hillel, Shon Mendelson, Daniel A. Koster, Lena Karol, Boaz Lerner
2019	J	`jnl`	Information Constrained Control Analysis of Eye Gaze Distribution Under Workload. IEEE Trans. Hum. Mach. Syst. Ron M. Hecht, Aharon Bar-Hillel, Ariel Telpaz, Omer Tsimhoni, Naftali Tishby
2019	Misc	`conf`	Information Constrained Control for Visual Detection of Important Areas. ICASSP Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Aharon Bar-Hillel, Naftali Tishby
2019	A*	`conf`	Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images. ICRA Yuval Litvak, Armin Biess, Aharon Bar-Hillel
2019	—	`conf`	Length Phenotyping With Interest Point Detection. CVPR Workshops Adar Vit, Guy Shani, Aharon Bar-Hillel
2018	—	`conf`	Input-Dependably Feature-Map Pruning. ICANN (1) Atalya Waissman, Aharon Bar-Hillel
2018	A	`conf`	Leaf counting: Multiple scale regression and detection using deep CNNs. BMVC Yotam Itzhaky, Guy Farjon, Faina Khoroshevsky, Alon Shpigler, Aharon Bar-Hillel
2018	J	`jnl`	Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images. CoRR Yuval Litvak, Armin Biess, Aharon Bar-Hillel
2017	A*	`conf`	Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines. CHI Eyal Krupka, Kfir Karmon, Noam Bloom, Daniel Freedman, Ilya Gurvich, Aviv Hurvitz, Ido Leichter, Yoni Smolin, Yuval Tzairi, Alon Vinnikov, Aharon Bar-Hillel
2016	J	`jnl`	Convolutional Tables Ensemble: classification in microseconds. CoRR Aharon Bar-Hillel, Eyal Krupka, Noam Bloom
2015	A	`conf`	Cognitive workload and vocabulary sparseness: theory and practice. INTERSPEECH Ron M. Hecht, Aharon Bar-Hillel, Stas Tiomkin, Hadar Levi, Omer Tsimhoni, Naftali Tishby
2015	J	`jnl`	Locally Orderless Tracking. Int. J. Comput. Vis. Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avidan
2015	J	`jnl`	Real-time tracking-with-detection for coping with viewpoint change. Mach. Vis. Appl. Shaul Oron, Aharon Bar-Hillel, Shai Avidan
2014	A*	`conf`	Discriminative Ferns Ensemble for Hand Pose Recognition. CVPR Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar-Hillel, Daniel Freedman, Simon Stachniak
2014	—	`conf`	Extended Lucas-Kanade Tracking. ECCV (5) Shaul Oron, Aharon Bar-Hillel, Shai Avidan
2014	J	`jnl`	Recent progress in road and lane detection: a survey. Mach. Vis. Appl. Aharon Bar-Hillel, Ronen Lerner, Dan Levi, Guy Raz
2013	J	`jnl`	Effective Model Representation by Information Bottleneck Principle. IEEE Trans. Speech Audio Process. Ron M. Hecht, Elad Noor, Gil Dobry, Yaniv Zigel, Aharon Bar-Hillel, Naftali Tishby
2013	A*	`conf`	Fast Multiple-Part Based Object Detection Using KD-Ferns. CVPR Dan Levi, Shai Silberstein, Aharon Bar-Hillel
2012	A*	`conf`	Locally Orderless Tracking. CVPR Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avidan
2012	B	`conf`	Off-vehicle evaluation of camera-based pedestrian detection. Intelligent Vehicles Symposium Yaniv Alon, Aharon Bar-Hillel
2012	B	`conf`	Real-time pedestrian detection with deformable part models. Intelligent Vehicles Symposium Hyunggi Cho, Paul E. Rybski, Aharon Bar-Hillel, Wende Zhang
2011	A*	`conf`	Fusing visual and range imaging for object class recognition. ICCV Aharon Bar-Hillel, Dmitri Hanukaev, Dan Levi
2010	—	`conf`	Part-Based Feature Synthesis for Human Detection. ECCV (4) Aharon Bar-Hillel, Dan Levi, Eyal Krupka, Chen Goldberg
2009	J	`jnl`	Efficient Human Computation CoRR Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor
2009	—	`conf`	Efficient human computation: the distributed labeling problem. KDD Workshop on Human Computation Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor
2008	J	`jnl`	Efficient Learning of Relational Object Class Models. Int. J. Comput. Vis. Aharon Bar-Hillel, Daphna Weinshall
2007	A*	`conf`	Learning distance function by coding similarity. ICML Aharon Bar-Hillel, Daphna Weinshall
2007	A	`conf`	Workstation capacity tuning using reinforcement learning. SC Aharon Bar-Hillel, Amir Di-Nur, Liat Ein-Dor, Ran Gilad-Bachrach, Yossi Ittach
2006	A*	`conf`	Learning a kernel function for classification with small training samples. ICML Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
2006	—	`—`	Learning from weak representations using distance functions and generative models (למידה מיצוגים חלשים באמצעות פונקציות מרחק ומודלים גנרטיביים.). Aharon Bar-Hillel
2006	—	`conf`	Subordinate class recognition using relational object models. NIPS Aharon Bar-Hillel, Daphna Weinshall
2005	A*	`conf`	Efficient Learning of Relational Object Class Models. ICCV Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
2005	J	`jnl`	Learning a Mahalanobis Metric from Equivalence Constraints. J. Mach. Learn. Res. Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
2005	—	`conf`	Object Class Recognition by Boosting a Part-Based Model. CVPR (1) Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
2004	A*	`conf`	Boosting margin based distance functions for clustering. ICML Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
2004	—	`conf`	Learning Distance Functions for Image Retrieval. CVPR (2) Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
2004	—	`conf`	Spike Sorting: Bayesian Clustering of Non-Stationary Data. NIPS Aharon Bar-Hillel, Adam Spiro, Eran Stark
2003	—	`conf`	Computing Gaussian Mixture Models with EM Using Equivalence Constraints. NIPS Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
2003	—	`conf`	Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. CVPR (2) Tomer Hertz, Noam Shental, Aharon Bar-Hillel, Daphna Weinshall
2003	A*	`conf`	Learning Distance Functions using Equivalence Relations. ICML Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
2003	A*	`conf`	Learning with Equivalence Constraints and the Relation to Multiclass Learning. COLT Aharon Bar-Hillel, Daphna Weinshall