Search Results for author: Muhammad Atif Butt

Found 7 papers, 4 papers with code

Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing

1 code implementation NeurIPS 2023 Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost Van de Weijer

Large-scale text-to-image generative models have been a ground-breaking development in generative AI, with diffusion models showing their astounding ability to synthesize convincing images following an input text prompt.

Text-based Image Editing

Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models

no code implementations5 Mar 2023 Hassan Ali, Muhammad Atif Butt, Fethi Filali, Ala Al-Fuqaha, Junaid Qadir

Although many works have studied these adversarial perturbations in general, the adversarial vulnerabilities of deep crowd-flow prediction models in particular have remained largely unexplored.

Adversarial Attack Management +1

Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses

no code implementations24 Oct 2022 Adnan Qayyum, Muhammad Atif Butt, Hassan Ali, Muhammad Usman, Osama Halabi, Ala Al-Fuqaha, Qammer H. Abbasi, Muhammad Ali Imran, Junaid Qadir

Metaverse is expected to emerge as a new paradigm for the next-generation Internet, providing fully immersive and personalised experiences to socialize, work, and play in self-sustaining and hyper-spatio-temporal virtual world(s).

TraffSign: Multilingual Traffic Signboard Text Detection and Recognition for Urdu and English

1 code implementation Document Analysis Systems 2022 Muhammad Atif Butt, Adnan Ul-Hasan, and Faisal Shafait

To this end, we present Deep Learning Laboratory’s Traffic Signboards Dataset (DLL-TraffSiD) to develop multi-lingual text detection and recognition methods for traffic signboards.

Scene Text Detection Self-Driving Cars +1

CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation

1 code implementation Signal Processing: Image Communication 2022 Muhammad Atif Butt, Faisal Riaz

To this end, we present CARL-D, a large-scale dataset and benchmark suite for developing 2D object detection and instance/pixel-level segmentation methods for self-driving cars.

Autonomous Driving Object +6

Pixel Level Segmentation Based Drivable Road Region Detection and Steering Angle Estimation Method for Autonomous Driving on Unstructured Roads

1 code implementation IEEE Access 2021 Marya Rasib, Muhammad Atif Butt, Faisal Riaz, Adel Sulaiman, Muhammad Akram

Alongside dataset, we also present an end-to-end drivable road region detection and steering angle estimation method to ensure the autonomous driving on generalized urban, rural, and unstructured road conditions.

Autonomous Driving Self-Driving Cars +1

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