Mohammadreza Salehi

According to our database1, Mohammadreza Salehi authored at least 21 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
Trans. Mach. Learn. Res., 2024

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition.
CoRR, 2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.
CoRR, 2024

NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency.
CoRR, 2024

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features.
Proceedings of the Computer Vision - ECCV 2024, 2024

SIGMA: Sinkhorn-Guided Masked Video Modeling.
Proceedings of the Computer Vision - ECCV 2024, 2024

SelEx: Self-expertise in Fine-Grained Generalized Category Discovery.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks.
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.
Trans. Mach. Learn. Res., 2022

InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection.
CoRR, 2022

SwinCheX: Multi-label classification on chest X-ray images with transformers.
CoRR, 2022

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models.
CoRR, 2022

Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing.
CoRR, 2022

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
ARAE: Adversarially robust training of autoencoders improves novelty detection.
Neural Networks, 2021

Multiresolution Knowledge Distillation for Anomaly Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Puzzle-AE: Novelty Detection in Images through Solving Puzzles.
CoRR, 2020

Paraphrase Generation by Learning How to Edit from Samples.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020


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