no code implementations • 11 Apr 2024 • Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah
The optimized loss function is a combination of weighted losses to which enhance robustness and generalization: Mean Absolute Error (MAE), Edge Loss and Structural Similarity Index (SSIM).
no code implementations • 6 Apr 2024 • Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden
The first is that we compute the novelty probability by linearizing the manifold that holds the structure of the inlier distribution.
no code implementations • 10 Feb 2024 • Ayman Abaid, Muhammad Ali Farooq, Niamh Hynes, Peter Corcoran, Ihsan Ullah
It has been shown that Cardiac CTA images can be successfully generated using using Text to Image (T2I) stable diffusion model.
3 code implementations • NeurIPS 2022 • Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
We introduce Meta-Album, an image classification meta-dataset designed to facilitate few-shot learning, transfer learning, meta-learning, among other tasks.
no code implementations • 31 Aug 2022 • Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu
We present the design and baseline results for a new challenge in the ChaLearn meta-learning series, accepted at NeurIPS'22, focusing on "cross-domain" meta-learning.
no code implementations • 15 Jun 2022 • Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu
Although deep neural networks are capable of achieving performance superior to humans on various tasks, they are notorious for requiring large amounts of data and computing resources, restricting their success to domains where such resources are available.
no code implementations • 19 Oct 2020 • Ihsan Ullah, Robert Malaney, Shihao Yan
Artificial Intelligence (AI) solutions for wireless location estimation are likely to prevail in many real-world scenarios.
no code implementations • 30 Apr 2020 • Bahram Lavi, Ihsan Ullah, Mehdi Fatan, Anderson Rocha
Intelligent video-surveillance (IVS) is currently an active research field in computer vision and machine learning and provides useful tools for surveillance operators and forensic video investigators.
3 code implementations • 30 Jan 2020 • Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Felix Fuentes, Evangello Flouty, Ahmed Mohammed, Marius Pedersen, Avinash Kori, Varghese Alex, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Myeonghyeon Kim, Chanho Kim, Chaewon Kim, Hye-Jin Kim, Gyeongmin Lee, Ihsan Ullah, Miguel Luna, Sang Hyun Park, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models.
no code implementations • 19 Dec 2019 • Ihsan Ullah, Mario Manzo, Mitul Shah, Michael Madden
In this context, we enhanced two of the existing Graph convolutional network models by proposing four enhancements.
no code implementations • 30 Apr 2019 • Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh, Ihsan Ullah
A DL model involves a large number of learnable parameters, and its training needs a large dataset of EEG signals, which is difficult to acquire for AER problem.
no code implementations • 14 Sep 2018 • David L. Smyth, Sai Abinesh, Nazli B. Karimi, Brett Drury, Ihsan Ullah, Frank G. Glavin, Michael G. Madden
Autonomous robotics and artificial intelligence techniques can be used to support human personnel in the event of critical incidents.
no code implementations • 13 Jul 2018 • Bahram Lavi, Mehdi Fatan Serj, Ihsan Ullah
To this aim, many techniques have been proposed to increase the performance of PReID.
no code implementations • 12 Jun 2018 • David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden
Because of the rare and high-risk nature of these events, realistic simulations can support the development and evaluation of AI-based tools.
1 code implementation • 16 Jan 2018 • Ihsan Ullah, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim AboAlSamh
Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach.
1 code implementation • 14 Aug 2016 • Ihsan Ullah, Alfredo Petrosino
However, their model designing still requires attention to reduce number of learnable parameters, with no meaningful reduction in performance.