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Research
I am interested in computer vision and machine learning in general. My research is mainly about vision-language models, multimodal learning, domain adaptation and video understanding.
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Comparison Visual Instruction Tuning
Wei Lin ,
Muhammad Jehanzeb Mirza ,
Sivan Doveh ,
Rogerio Feris ,
Raja Giryes ,
Sepp Hochreiter ,
Leonid Karlinsky
In collaboration with the MIT-IBM Watson AI Lab
Arxiv , 2024
arxiv
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🤗 Dataset
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code
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an approach for collection of visual instructions that improves Commonality and difference spoting capabilities for Large Multimodal Modes
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Conme: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
*Irene Huang ,
*Wei Lin ,
*Muhammad Jehanzeb Mirza ,
Jacob Hansen,
Sivan Doveh ,
Victor Ion Butoi ,
Roei Herzig ,
Assaf Arbelle ,
Hilde Kuehne ,
Trevor Darrell ,
Chuang Gan ,
Aude Oliva ,
Rogerio Feris ,
Leonid Karlinsky
(*equal contribution)
In collaboration with the MIT-IBM Watson AI Lab
Arxiv , 2024
arxiv
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🤗 Dataset
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code
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video
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Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
Muhammad Jehanzeb Mirza ,
Leonid Karlinsky ,
Wei Lin ,
Sivan Doveh ,
Jakub Micorek ,
Mateusz Kozinski ,
Hilde Kuehne ,
Horst Possegger
In collaboration with the MIT-IBM Watson AI Lab
ECCV , 2024
arxiv
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code
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video
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Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
Christian Fruhwirth-Reisinger ,
Wei Lin ,
Dusan Malic ,
Horst Bischof ,
Horst Possegger
BMVC, 2024 Oral Presentation
arxiv
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code
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video
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Towards Multimodal In-Context Learning for Vision & Language Models
Sivan Doveh ,
Shaked Perek ,
Muhammad Jehanzeb Mirza ,
Wei Lin ,
Amit Alfassy ,
Assaf Arbelle ,
Shimon Ullman ,
Leonid Karlinsky
ECCV 2024 Workshop on Multimodal Agents
arxiv
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code
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video
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Overlooked Aspects in the Evaluation of Out-Of-Distribution Detection Methods
*Bernhard Lehner ,
*Christian Huber,
Bernhard Moser ,
Claus Hofmann ,
Wei Lin ,
Sepp Hochreiter (*equal contribution)
Arxiv, 2024
arxiv
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code
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video
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LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
Muhammad Jehanzeb Mirza ,
Leonid Karlinsky ,
Wei Lin ,
Mateusz Kozinski ,
Horst Possegger ,
Rogerio Feris ,
Horst Bischof
NeurIPS, 2023
arxiv
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code
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video
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MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
Wei Lin ,
Leonid Karlinsky ,
Nina Shvetsova ,
Horst Possegger ,
Mateusz Kozinski ,
Rameswar Panda ,
Rogerio Feris ,
Hilde Kuehne ,
Horst Bischof
In collaboration with the MIT-IBM Watson AI Lab
ICCV , 2023
arxiv
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code
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video
Unsupervised finetuning of Vision-Language models for zero-shot and few-shot action recognition, with GPT3 text expansion and video frame captioning.
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TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification
Muhammad Jehanzeb Mirza ,
Leonid Karlinsky ,
Wei Lin ,
Horst Possegger ,
Rogerio Feris ,
Horst Bischof
Arxiv, 2023
arxiv
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code
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video
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MATE: Masked Autoencoders are Online 3D Test-Time Learners
*Muhammad Jehanzeb Mirza ,
*Inkyu Shin ,
*Wei Lin ,
Andreas Schriebl,
Kunyang Sun ,
Jaesung Choe ,
Horst Possegger ,
Mateusz Kozinski ,
In So Kweon ,
Kun-Jin Yoon ,
Horst Bischof
(*equal contribution)
ICCV , 2023
arxiv
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code
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video
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Video Test-Time Adaptation for Action Recognition
*Wei Lin ,
*Muhammad Jehanzeb Mirza ,
Mateusz Kozinski ,
Horst Possegger ,
Hilde Kuehne ,
Horst Bischof
(*equal contribution)
CVPR , 2023
arxiv
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Test-time adaptation of video action recognition against common distribution shifts.
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ActMAD: Activation Matching to Align Distributions for Test-Time-Training
Muhammad Jehanzeb Mirza ,
Pol Jané Soneira ,
Wei Lin ,
Mateusz Kozinski ,
Horst Possegger ,
Horst Bischof
CVPR , 2023
arxiv
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code
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video
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Unsupervised Class-aware 3D Object Detection in LiDAR Point Clouds
Christian Fruhwirth-Reisinger ,
Wei Lin ,
Dusan Malic ,
David Schinagl ,
Georg Krispel ,
Horst Possegger ,
Horst Bischof
Arxiv, 2023
arxiv
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code
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video
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CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video
Wei Lin ,
Anna Kukleva ,
Kunyang Sun ,
Horst Possegger ,
Hilde Kuehne ,
Horst Bischof
ECCV , 2022
paper
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arxiv
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code
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video
Unsupervised image-to-video domain adaptation.
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Extended Abstract CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video
Wei Lin ,
Anna Kukleva ,
Kunyang Sun ,
Horst Possegger ,
Hilde Kuehne ,
Horst Bischof
ECCV Workshop of Out Of Distribution Generalization in Computer Vision , 2022
paper
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code
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video
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AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection
Kunyang Sun ,
Wei Lin ,
Haoqin Shi,
Zhengming Zhang ,
Yongming Huang ,
Horst Bischof
IEEE Robotics and Automation Letters (RA-L) 2023
paper
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arxiv
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code
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video
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TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
Wei Lin ,
Anna Kukleva ,
Horst Possegger ,
Hilde Kuehne ,
Horst Bischof
Computer Vision Winter Workshop , 2023
arxiv
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code
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video
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Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
Stefan Leitner ,
Muhammad Jehanzeb Mirza ,
Wei Lin ,
Jakub Micorek ,
Marc Masana ,
Mateusz Kozinski ,
Horst Possegger ,
Horst Bischof
Intelligent Vehicle Conference , 2023
arxiv
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code
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Academic Service
Conference Reviewer : ECCV 2022, ISMAR 2023, CVPR 2023, NeurIPS 2023, WACV 2024, CVPR 2024, ECCV 2024, NeurIPS 2024, NeurIPS 2024 Dataset and Benchmark Track
Journal Reviewer : TPAMI 2023, TNNLS 2023, IEEE Trans. Multimedia 2023, Pattern Recognition Letters 2024
Teaching
Deep Learning and Neural Networks I - Exercise
Machine Learning: Supervised Techniques - Exercise
Deep Learning and Neural Networks II - Exercise
Machine Learning: Unsupervised Techniques - Exercise