Muhammad Jehanzeb Mirza

According to our database1, Muhammad Jehanzeb Mirza authored at least 13 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs.
CoRR, 2024

TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models.
CoRR, 2024

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?
CoRR, 2024

2023
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification.
CoRR, 2023

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

MATE: Masked Autoencoders are Online 3D Test-Time Learners.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Test-Time Adversarial Detection and Robustness for Localizing Humans Using Ultra Wide Band Channel Impulse Responses.
Proceedings of the 31st European Signal Processing Conference, 2023

ActMAD: Activation Matching to Align Distributions for Test-Time-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video Test-Time Adaptation for Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Robustness of Object Detectors in Degrading Weather Conditions.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021


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