Search Results - Mirza, M Jehanzeb

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  1. 1
    Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

    Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions by Leitner, Stefan, Mirza, M. Jehanzeb, Lin, Wei, Micorek, Jakub, Masana, Marc, Kozinski, Mateusz, Possegger, Horst, Bischof, Horst

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  2. 2
    An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

    An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions by Jehanzeb Mirza, M., Masana, Marc, Possegger, Horst, Bischof, Horst

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  3. 3
    Into the Fog: Evaluating Robustness of Multiple Object Tracking

    Into the Fog: Evaluating Robustness of Multiple Object Tracking by Kirillova, Nadezda, Mirza, M Jehanzeb, Bischof, Horst, Possegger, Horst

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  4. 4
    An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

    An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions by Mirza, M Jehanzeb, Masana, Marc, Possegger, Horst, Bischof, Horst

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  5. 5
    The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

    The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization by Mirza, M Jehanzeb, Micorek, Jakub, Possegger, Horst, Bischof, Horst

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  6. 6
    LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections

    LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections by Mirza, M Jehanzeb, Karlinsky, Leonid, Lin, Wei, Kozinski, Mateusz, Possegger, Horst, Feris, Rogerio, Bischof, Horst

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  7. 7
    Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs

    Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs by Mirza, M Jehanzeb, Karlinsky, Leonid, Lin, Wei, Sivan Doveh, Micorek, Jakub, Kozinski, Mateusz, Kuehne, Hilde, Possegger, Horst

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  8. 8
    TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification

    TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification by Mirza, M Jehanzeb, Karlinsky, Leonid, Lin, Wei, Possegger, Horst, Feris, Rogerio, Bischof, Horst

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  9. 9
    Towards Multimodal In-Context Learning for Vision & Language Models

    Towards Multimodal In-Context Learning for Vision & Language Models by Sivan Doveh, Shaked Perek, Mirza, M Jehanzeb, Lin, Wei, Alfassy, Amit, Assaf Arbelle, Ullman, Shimon, Karlinsky, Leonid

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  10. 10
    Teaching VLMs to Localize Specific Objects from In-context Examples

    Teaching VLMs to Localize Specific Objects from In-context Examples by Sivan Doveh, Shabtay, Nimrod, Lin, Wei, Schwartz, Eli, Kuehne, Hilde, Giryes, Raja, Feris, Rogerio, Karlinsky, Leonid, Glass, James, Assaf Arbelle, Ullman, Shimon, Mirza, M Jehanzeb

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  11. 11
    LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content

    LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content by Shabtay, Nimrod, Felipe Maia Polo, Sivan Doveh, Lin, Wei, Mirza, M Jehanzeb, Leshem Chosen, Yurochkin, Mikhail, Sun, Yuekai, Assaf Arbelle, Karlinsky, Leonid, Giryes, Raja

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  12. 12
    Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

    Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions by Leitner, Stefan, Mirza, M Jehanzeb, Lin, Wei, Micorek, Jakub, Masana, Marc, Kozinski, Mateusz, Possegger, Horst, Bischof, Horst

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  13. 13
    GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models

    GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models by Mirza, M Jehanzeb, Zhao, Mengjie, Mao, Zhuoyuan, Sivan Doveh, Lin, Wei, Gavrikov, Paul, Dorkenwald, Michael, Yang, Shiqi, Jha, Saurav, Wakaki, Hiromi, Mitsufuji, Yuki, Possegger, Horst, Feris, Rogerio, Karlinsky, Leonid, Glass, James

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  14. 14
    ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

    ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs by Huang, Irene, Lin, Wei, Mirza, M Jehanzeb, Hansen, Jacob A, Sivan Doveh, Butoi, Victor Ion, Herzig, Roei, Assaf Arbelle, Kuehne, Hilde, Darrell, Trevor, Chuang Gan, Oliva, Aude, Feris, Rogerio, Karlinsky, Leonid

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  15. 15
    MATE: Masked Autoencoders are Online 3D Test-Time Learners

    MATE: Masked Autoencoders are Online 3D Test-Time Learners by Mirza, M Jehanzeb, Shin, Inkyu, Lin, Wei, Schriebl, Andreas, Sun, Kunyang, Choe, Jaesung, Possegger, Horst, Kozinski, Mateusz, In So Kweon, Kun-Jin, Yoon, Bischof, Horst

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  16. 16
    Tobacco Stalk Waste Biomass Holds Multilayer and Spontaneous Adsorption Capabilities for Reactive Black 5 Dye: Equilibrium Modelling and Error Function Analysis

    Tobacco Stalk Waste Biomass Holds Multilayer and Spontaneous Adsorption Capabilities for Reactive Black 5 Dye: Equilibrium Modelling and Error Function Analysis by Shah, Jehanzeb Ali, Mirza, Cyrus Raza, Butt, Tayyab Ashfaq, Khalifa, Walid, Gasmi, Hatem, Haroon, Hajira, Khan, Muhammad Saqib, Ali, Muhammad Arif, Zeb, Iftikhar, Shah, Sajid Hussain, Amin, Bilal Ahmad Zafar, Bilal, Muhammad

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