ProfessorsProfessors of Stanford UniversityAmir Sadeghian

Amir Sadeghian

Stanford University

H-index: 20

North America-United States

About Amir Sadeghian

Amir Sadeghian, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Artificial Intelligence, Computer Vision, Machine learning, Deep learning, Robotics.

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

3SD: Self-supervised saliency detection with no labels

Re-imagine the Negative Prompt Algorithm for 2D/3D Diffusion

Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond

Jrdb: A dataset and benchmark of egocentric robot visual perception of humans in built environments

Jrmot: A real-time 3d multi-object tracker and a new large-scale dataset

Amir Sadeghian Information

University	Stanford University
Position	Director at Aibee PhD
Citations(all)	8050
Citations(since 2020)	7768
Cited By	2079
hIndex(all)	20
hIndex(since 2020)	18
i10Index(all)	21
i10Index(since 2020)	20
Email	Access Email
University Profile Page	Stanford University
Google Scholar	View Google Scholar Profile

Amir Sadeghian Skills & Research Interests

Artificial Intelligence

Computer Vision

Machine learning

Deep learning

Robotics

Top articles of Amir Sadeghian

Title	Journal	Author(s)	Publication Date
3SD: Self-supervised saliency detection with no labels		Rajeev Yasarla Renliang Weng Wongun Choi Vishal M Patel Amir Sadeghian	2024
Re-imagine the Negative Prompt Algorithm for 2D/3D Diffusion		Mohammadreza Armandpour Ali Sadeghian Huangjie Zheng Amir Sadeghian Mingyuan Zhou	2023/10/13
Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond	arXiv preprint arXiv:2304.04968	Mohammadreza Armandpour Ali Sadeghian Huangjie Zheng Amir Sadeghian Mingyuan Zhou	2023/4/11
Jrdb: A dataset and benchmark of egocentric robot visual perception of humans in built environments	IEEE transactions on pattern analysis and machine intelligence	Roberto Martin-Martin Mihir Patel Hamid Rezatofighi Abhijeet Shenoi JunYoung Gwak ...	2021/4/2
Jrmot: A real-time 3d multi-object tracker and a new large-scale dataset		Abhijeet Shenoi Mihir Patel JunYoung Gwak Patrick Goebel Amir Sadeghian ...	2020/10/24