Hamed Pirsiavash

Hamed Pirsiavash

University of Maryland, Baltimore County

H-index: 36

North America-United States

About Hamed Pirsiavash

Hamed Pirsiavash, With an exceptional h-index of 36 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Maryland, Baltimore County, specializes in the field of Computer Vision, Machine Learning.

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

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks

Sima: Simple softmax-free attention for vision transformers

One Category One Prompt: Dataset Distillation using Diffusion Models

A collective AI via lifelong learning and sharing at the edge

Compact3d: Compressing gaussian splat radiance field models with vector quantization

Defending against patch-based backdoor attacks on self-supervised learning

BrainWash: A Poisoning Attack to Forget in Continual Learning

MASTAF: a model-agnostic spatio-temporal attention fusion network for few-shot video classification

Hamed Pirsiavash Information

University

Position

Assistant Professor at

Citations(all)

9945

Citations(since 2020)

6557

Cited By

5924

hIndex(all)

36

hIndex(since 2020)

28

i10Index(all)

53

i10Index(since 2020)

42

Email

University Profile Page

University of Maryland, Baltimore County

Google Scholar

View Google Scholar Profile

Hamed Pirsiavash Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Hamed Pirsiavash

Title

Journal

Author(s)

Publication Date

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks

Akshayvarun Subramanya

Soroush Abbasi Koohpayegani

Aniruddha Saha

Ajinkya Tejankar

Hamed Pirsiavash

2024

Sima: Simple softmax-free attention for vision transformers

Soroush Abbasi Koohpayegani

Hamed Pirsiavash

2024

One Category One Prompt: Dataset Distillation using Diffusion Models

arXiv preprint arXiv:2403.07142

Ali Abbasi

Ashkan Shahbazi

Hamed Pirsiavash

Soheil Kolouri

2024/3/11

A collective AI via lifelong learning and sharing at the edge

Nature Machine Intelligence

Andrea Soltoggio

Eseoghene Ben-Iwhiwhu

Vladimir Braverman

Eric Eaton

Benjamin Epstein

...

2024/3

Compact3d: Compressing gaussian splat radiance field models with vector quantization

arXiv preprint arXiv:2311.18159

KL Navaneet

Kossar Pourahmadi Meibodi

Soroush Abbasi Koohpayegani

Hamed Pirsiavash

2023/11/30

Defending against patch-based backdoor attacks on self-supervised learning

Ajinkya Tejankar

Maziar Sanjabi

Qifan Wang

Sinong Wang

Hamed Firooz

...

2023

BrainWash: A Poisoning Attack to Forget in Continual Learning

arXiv preprint arXiv:2311.11995

Ali Abbasi

Parsa Nooralinejad

Hamed Pirsiavash

Soheil Kolouri

2023/11/20

MASTAF: a model-agnostic spatio-temporal attention fusion network for few-shot video classification

Xin Liu

Huanle Zhang

Hamed Pirsiavash

2023

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers

arXiv preprint arXiv:2310.02544

KL Navaneet

Soroush Abbasi Koohpayegani

Essam Sleiman

Hamed Pirsiavash

2023/10/4

GeNIe: Generative Hard Negative Images Through Diffusion

arXiv preprint arXiv:2312.02548

Soroush Abbasi Koohpayegani

Anuj Singh

KL Navaneet

Hadi Jamali-Rad

Hamed Pirsiavash

2023/12/5

NOLA: Networks as Linear Combination of Low Rank Random Basis

arXiv preprint arXiv:2310.02556

Soroush Abbasi Koohpayegani

KL Navaneet

Parsa Nooralinejad

Soheil Kolouri

Hamed Pirsiavash

2023/10/4

Multi-Agent Lifelong Implicit Neural Learning

IEEE Signal Processing Letters

Soheil Kolouri

Ali Abbasi

Soroush Abbasi Koohpayegani

Parsa Nooralinejad

Hamed Pirsiavash

2023/11/30

Amenable sparse network investigator

Saeed Damadi

Erfan Nouri

Hamed Pirsiavash

2023

Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment

Nutrients

Jules A Larke

Elizabeth L Chin

Yasmine Y Bouzid

Tu Nguyen

Yael Vainberg

...

2023/11/30

A cookbook of self-supervised learning

arXiv preprint arXiv:2304.12210

Randall Balestriero

Mark Ibrahim

Vlad Sobal

Ari Morcos

Shashank Shekhar

...

2023/4/24

Consistent explanations by contrastive learning

Vipin Pillai

Soroush Abbasi Koohpayegani

Ashley Ouligian

Dennis Fong

Hamed Pirsiavash

2022

Constrained mean shift using distant yet related neighbors for representation learning

KL Navaneet

Soroush Abbasi Koohpayegani

Ajinkya Tejankar

Kossar Pourahmadi

Akshayvarun Subramanya

...

2022/10/23

Backdoor attacks on self-supervised learning

Aniruddha Saha

Ajinkya Tejankar

Soroush Abbasi Koohpayegani

Hamed Pirsiavash

2022

Adaptive token sampling for efficient vision transformers

Mohsen Fayyaz

Soroush Abbasi Koohpayegani

Farnoush Rezaei Jafari

Sunando Sengupta

Hamid Reza Vaezi Joze

...

2022/10/23

Sparsity and heterogeneous dropout for continual learning in the null space of neural activations

Ali Abbasi

Parsa Nooralinejad

Vladimir Braverman

Hamed Pirsiavash

Soheil Kolouri

2022/11/28

See List of Professors in Hamed Pirsiavash University(University of Maryland, Baltimore County)

Co-Authors

H-index: 138
Antonio Torralba

Antonio Torralba

Massachusetts Institute of Technology

H-index: 84
Deva Ramanan

Deva Ramanan

Carnegie Mellon University

H-index: 56
Charless Fowlkes

Charless Fowlkes

University of California, Irvine

H-index: 50
Paolo Favaro

Paolo Favaro

Universität Bern

H-index: 36
Carl Vondrick

Carl Vondrick

Columbia University in the City of New York

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