Mohammadreza Salehi

According to our database, Mohammadreza Salehi authored at least 34 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning.

Shashanka Venkataramanan, Valentinos Pariza, Mohammadreza Salehi, Lukas Knobel, Spyros Gidaris, Elias Ramzi, Andrei Bursuc, Yuki M. Asano

CoRR, July, 2025

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation.

Divyanshu Mishra, Mohammadreza Salehi, Pramit Saha, Olga Patey, Aris T. Papageorghiou, Yuki M. Asano, J. Alison Noble

CoRR, June, 2025

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning.

Mohammadreza Salehi, Shashanka Venkataramanan, Ioana Simion, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

CoRR, June, 2025

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory.

Chenhao Zheng, Jieyu Zhang, Mohammadreza Salehi, Ziqi Gao, Vishnu Iyengar, Norimasa Kobori, Quan Kong, Ranjay Krishna

CoRR, May, 2025

Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections.

Alireza Salehi, Mohammadreza Salehi, Reshad Hosseini, Cees G. M. Snoek, Makoto Yamada, Mohammad Sabokrou

CoRR, April, 2025

A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts.

Hossein Mirzaei, Mojtaba Nafez, Moein Madadi, Arad Maleki, Mahdi Hajialilue, Zeinab Sadat Taghavi, Sepehr Rezaee, Ali Ansari, Bahar Dibaei Nia, Kian Shamsaie, Mohammadreza Salehi, Mackenzie W. Mathis, Mahdieh Soleymani Baghshah, Mohammad Sabokrou, Mohammad Hossein Rohban

CoRR, January, 2025

Artificial intelligence-driven approaches in antibiotic stewardship programs and optimizing prescription practices: A systematic review.

Hamid Harandi, Maryam Shafaati, Mohammadreza Salehi, Mohammad Mahdi Roozbahani, Keyhan Mohammadi, Samaneh Akbarpour, Ramin Rahimnia, Gholamreza Hassanpour, Yasin Rahmani, Arash Seifi

Artif. Intell. Medicine, 2025

A Non-Isolated Extendable Boost Topology With Continuous Input and Output Currents.

Hossein Gholizadeh, Alireza Poursalan, Reza Sharifi Shahrivar, Saeed Amini, Mohammadreza Salehi, Lazhar Ben-Brahim

IEEE Access, 2025

Near, far: Patch-ordering enhances vision foundation models' scene understanding.

Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations.

Peter V. Sushko, Ayana Bharadwaj, Zhi Yang Lim, Vasily Ilin, Ben Caffee, Dongping Chen, Mohammadreza Salehi, Cheng-Yu Hsieh, Ranjay Krishna

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.

Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

Trans. Mach. Learn. Res., 2024

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition.

Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi

CoRR, 2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.

Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi

CoRR, 2024

NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency.

Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano

CoRR, 2024

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition.

Mohammadreza Salehi, Jae Sung Park, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hanna Hajishirzi, Ali Farhadi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features.

Luc P. J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

Proceedings of the Computer Vision - ECCV 2024, 2024

SIGMA: Sinkhorn-Guided Masked Video Modeling.

Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

Proceedings of the Computer Vision - ECCV 2024, 2024

SelEx: Self-expertise in Fine-Grained Generalized Category Discovery.

Sarah Rastegar, Mohammadreza Salehi, Yuki M. Asano, Hazel Doughty, Cees G. M. Snoek

Proceedings of the Computer Vision - ECCV 2024, 2024

Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection.

Mohammadreza Salehi, Nikolaos Apostolikas, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection.

Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations.

Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks.

Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges.

Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou

Trans. Mach. Learn. Res., 2022

InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection.

Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban

CoRR, 2022

SwinCheX: Multi-label classification on chest X-ray images with transformers.

Sina Taslimi, Soroush Taslimi, Nima Fathi, Mohammadreza Salehi, Mohammad Hossein Rohban

CoRR, 2022

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models.

Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

CoRR, 2022

Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing.

Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi

CoRR, 2022

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts.

Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.

Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ARAE: Adversarially robust training of autoencoders improves novelty detection.

Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee

Neural Networks, 2021

Multiresolution Knowledge Distillation for Anomaly Detection.

Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Puzzle-AE: Novelty Detection in Images through Solving Puzzles.

Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee

CoRR, 2020

Paraphrase Generation by Learning How to Edit from Samples.

Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020