Ali Harakeh

Ali Harakeh

University of Toronto

H-index: 11

North America-Canada

About Ali Harakeh

Ali Harakeh, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Robot Perception, Machine Learning, Uncertainty Estimation, Few-Shot Learning, Continual Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

BACS: Background Aware Continual Semantic Segmentation

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss

Estimating Regression Predictive Distributions with Sample Networks

Bayesian Embeddings for Few-Shot Open World Recognition

A review and comparative study on probabilistic object detection in autonomous driving

Categorical Depth Distribution Network for Monocular 3D Object Detection

Estimating and Evaluating Predictive Uncertainty in Deep Object Detectors

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

Ali Harakeh Information

University

Position

PhD Candidate, University of Toronto Institute For Aerospace Studies (UTIAS)

Citations(all)

2697

Citations(since 2020)

2627

Cited By

759

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Ali Harakeh Skills & Research Interests

Robot Perception

Machine Learning

Uncertainty Estimation

Few-Shot Learning

Continual Learning

Top articles of Ali Harakeh

Title

Journal

Author(s)

Publication Date

BACS: Background Aware Continual Semantic Segmentation

arXiv preprint arXiv:2404.13148

Mostafa ElAraby

Ali Harakeh

Liam Paull

2024/4/19

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss

Anas Mahmoud

Jordan SK Hu

Tianshu Kuai

Ali Harakeh

Liam Paull

...

2023

Estimating Regression Predictive Distributions with Sample Networks

Proceedings of the AAAI Conference on Artificial Intelligence

Ali Harakeh

Jordan Sir Kwang Hu

Naiqing Guan

Steven Waslander

Liam Paull

2023/6/26

Bayesian Embeddings for Few-Shot Open World Recognition

Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

John Willes

James Harrison

Ali Harakeh

Chelsea Finn

Marco Pavone

...

2022

A review and comparative study on probabilistic object detection in autonomous driving

Di Feng

Ali Harakeh

Steven L Waslander

Klaus Dietmayer

2021/8/30

Categorical Depth Distribution Network for Monocular 3D Object Detection

Cody Reading

Ali Harakeh

Julia Chae

Steven L Waslander

2021

Estimating and Evaluating Predictive Uncertainty in Deep Object Detectors

Ali Harakeh

2021

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

arXiv preprint arXiv:2101.05036

Ali Harakeh

Steven L Waslander

2021/1

Bayesod: A bayesian approach for uncertainty estimation in deep object detectors

Ali Harakeh

Michael Smart

Steven L Waslander

2020/5/31

Open-Set Incremental Learning via Bayesian Prototypical Embeddings

John Willes

James Harrison

Ali Harakeh

Chelsea Finn

Marco Pavone

...

2020

See List of Professors in Ali Harakeh University(University of Toronto)

Co-Authors

H-index: 78
Chelsea Finn

Chelsea Finn

Stanford University

H-index: 62
Marco Pavone

Marco Pavone

Stanford University

H-index: 42
Steven Waslander

Steven Waslander

University of Toronto

H-index: 36
Liam Paull

Liam Paull

Université de Montréal

H-index: 21
Elie Shammas

Elie Shammas

American University of Beirut

H-index: 18
Daniel Asmar

Daniel Asmar

American University of Beirut

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