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.
no code implementations • 11 Aug 2023 • Muhammad Atif Butt, Hassan Ali, Adnan Qayyum, Waqas Sultani, Ala Al-Fuqaha, Junaid Qadir
Semantic understanding of roadways is a key enabling factor for safe autonomous driving.
no code implementations • 5 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.
no code implementations • 24 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).
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.
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.
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.