Aharon Bar-Hillel

发表

Efficient Learning of Relational Object Class Models

Daphna Weinshall, Aharon Bar-Hillel, D. Weinshall, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Computing Gaussian Mixture Models with EM using Side-Information

D. Weinshall, Aharon Bar-Hillel, N. Shental, 2003 .

Learning a Mahalanobis Metric from Equivalence Constraints

Tomer Hertz, Daphna Weinshall, Noam Shental, 2005, J. Mach. Learn. Res..

Learning Distance Functions using Equivalence Relations

Tomer Hertz, Daphna Weinshall, Noam Shental, 2003, ICML.

Boosting margin based distance functions for clustering

Tomer Hertz, Daphna Weinshall, Aharon Bar-Hillel, 2004, ICML.

Enhancing image and video retrieval: learning via equivalence constraints

Daphna Weinshall, Noam Shental, Aharon Bar-Hillel, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Learning a kernel function for classification with small training samples

Daphna Weinshall, Aharon Bar-Hillel, Tomer Hertz, 2006, ICML.

Computing Gaussian Mixture Models with EM Using Equivalence Constraints

Tomer Hertz, Daphna Weinshall, Noam Shental, 2003, NIPS.

Learning distance functions for image retrieval

Daphna Weinshall, Aharon Bar-Hillel, Tomer Hertz, 2004, CVPR 2004.

Learning distance functions for image retrieval

Tomer Hertz, Daphna Weinshall, Aharon Bar-Hillel, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Spike sorting: Bayesian clustering of non-stationary data

Eran Stark, Aharon Bar-Hillel, Adam Spiro, 2004, Journal of Neuroscience Methods.

Locally Orderless Tracking

Shai Avidan, Shaul Oron, Dan Levi, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Comparison processes in category learning: From theory to behavior

S. Hochstein, D. Weinshall, Aharon Bar-Hillel, 2008, Brain Research.

Object class recognition by boosting a part-based model

Daphna Weinshall, Aharon Bar-Hillel, Tomer Hertz, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Storm tracking using a dynamic mixture of Gaussians

Aharon Bar-Hillel, A. Spiro, 2005 .

Learning from weak representations using distance functions and generative models (למידה מיצוגים חלשים באמצעות פונקציות מרחק ומודלים גנרטיביים.)

Aharon Bar-Hillel, 2006 .

Real-time tracking-with-detection for coping with viewpoint change

S. Avidan, Aharon Bar-Hillel, Shaul Oron, 2015, Machine Vision and Applications.

Length Phenotyping With Interest Point Detection

Guy Shani, Aharon Bar-Hillel, Adar Vit, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Object detection in agricultural contexts: A multiple resolution benchmark and comparison to human

Aharon Bar-Hillel, Omer Wosner, Guy Farjon, 2021, Comput. Electron. Agric..

Information Constrained Control for Visual Detection of Important Areas

Naftali Tishby, Gila Kamhi, Aharon Bar-Hillel, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation

B. Lerner, Aharon Bar-Hillel, Yael Konforti, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata pdf

Boaz Lerner, Aharon Bar-Hillel, Lena Karol, 2020, ArXiv.

Recent progress in road and lane detection: a survey

Aharon Bar-Hillel, Guy Raz, Ronen Lerner, 2014, Machine Vision and Applications.

Inference Graphs for CNN Interpretation

Boaz Lerner, Aharon Bar-Hillel, Yael Konforti, 2021, ECCV.

Leaf Counting: Fusing Network Components for Improved Accuracy

Aharon Bar-Hillel, Guy Farjon, Faina Khoroshevsky, 2021, Frontiers in Plant Science.

Leaf counting: Multiple scale regression and detection using deep CNNs

Aharon Bar-Hillel, Guy Farjon, Faina Khoroshevsky, 2018, BMVC.

Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network

Aharon Bar-Hillel, Faina Khoroshevsky, Stanislav Khoroshevsky, 2021, Remote. Sens..

Phenotyping Problems of Parts-per-Object Count

Aharon Bar-Hillel, Faina Khoroshevsky, Oshry Markovich, 2020, ECCV Workshops.

Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images

Armin Biess, Aharon Bar-Hillel, Yuval Litvak, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Real-time pedestrian detection with deformable part models

Paul E. Rybski, Hyunggi Cho, Wende Zhang, 2012, 2012 IEEE Intelligent Vehicles Symposium.

Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines

Kfir Karmon, Ilya Gurvich, Aharon Bar-Hillel, 2017, CHI.

Learning Fast Hand Pose Recognition

Cem Keskin, Aharon Bar-Hillel, Eyal Krupka, 2014 .

Convolutional Tables Ensemble: classification in microseconds pdf

Aharon Bar-Hillel, Eyal Krupka, Noam Bloom, 2016, ArXiv.

Learning distance function by coding similarity

Daphna Weinshall, Aharon Bar-Hillel, D. Weinshall, 2007, ICML '07.

Efficient human computation: the distributed labeling problem

Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor, 2009, HCOMP '09.

A unified deep network for beamforming and speckle reduction in plane wave imaging: A simulation study.

Etai Mor, Aharon Bar-Hillel, Aharon Bar-Hillel, 2020, Ultrasonics.

Part-Based Feature Synthesis for Human Detection

Dan Levi, Aharon Bar-Hillel, Eyal Krupka, 2010, ECCV.

Extended Lucas-Kanade Tracking

S. Avidan, Aharon Bar-Hillel, Shaul Oron, 2014, ECCV.

Learning from weak representations using distance functions and generative models (למידה מיצוגים חלשים באמצעות פונקציות מרחק ומודלים גנרטיביים.)

Aharon Bar-Hillel, 2006 .

Effective Model Representation by Information Bottleneck Principle

Naftali Tishby, Yaniv Zigel, Aharon Bar-Hillel, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Subordinate class recognition using relational object models

Daphna Weinshall, Aharon Bar-Hillel, D. Weinshall, 2006, NIPS.

Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach

Ron M. Hecht, Naftali Tishby, Aharon Bar-Hillel, 2020, CogSci.

Workstation capacity tuning using reinforcement learning

Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor, 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).

Detection in Agricultural Contexts: Are We Close to Human Level?

Aharon Bar-Hillel, Omer Wosner, Guy Farjon, 2020, ECCV Workshops.