Emre Akbaş
Assistant professor at the Department of Computer Engineering, Middle East Technical University.
Vice chair responsible for student affairs – Best way to reach me is e-mail.
Short bio: I am an assistant professor at the Department of Computer Engineering, Middle East Technical University (METU). Before joining METU, I was a researcher at the Vision and Image Understanding Lab at the University of California Santa Barbara, where I worked with Prof. Miguel Eckstein. I received my PhD degree from the University of Illinois at Urbana-Champaign. My advisor was Prof. Narendra Ahuja. During my PhD, I was a research assistant at the Computer Vision and Robotics Lab at the Beckman Institute for Advanced Science and Technology.
Research group ~ Publications ~ Teaching ~ CV
Recent news from our research group:
- Feb. 2021 – Nermin Samet will be serving in the organization committee of the Women in Computer Vision workshop at CVPR2021. Paper Submissions are open until March 12th. All vision researchers are invited.
- Dec. 2020 – Emre Akbas received the ODTÜ Parlar Vakfı Araştırma Teşvik Ödülü (Research Incentive Award).
- Sep. 2020 – Our paper entitled “A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection” by Kemal Oksuz, Baris Can Cam, Emre Akbas and Sinan Kalkan is accepted to NeurIPS2020 as a spotlight paper! Links: pdf, repository.
- Sep. 2020 – Our work GANILLA has been featured in “The Batch”, a new weekly newsletter from deeplearning.ai.
- Aug. 2020 – We gave an invited talk at the “Beyond mAP: Reassessing the Evaluation of Object Detectors” workshop at ECCV2020. The title of the talk was “Unified Evaluation and Training of Object Detectors using Localization-Recall-Precision (LRP)”. The talk is available on YouTube.
- Aug. 2020 – The invited talks by Bernt Schiele, Boqing Gong, Ming-Hsuan Yang, Vittorio Ferrari and Tengyu Ma in our ECCV2020 workshop on “Imbalance Problems in Computer Vision” are now available on YouTube. Presentations of contributed papers can also be found at the page.
- Aug. 2020 – Our paper entitled “Reducing Label Noise in Anchor-Free Object Detection” by Nermin Samet, Samet Hicsonmez and Emre Akbas is accepted to the British Machine Vision Conference (BMVC). Links: pdf, repository
- Jul. 2020 – Our paper entitled “HoughNet: Integrating near and long-range evidence for bottom-up object detection” by Nermin Samet, Samet Hicsonmez and Emre Akbas is accepted to the European Conference on Computer Vision (ECCV). Links: pdf, repository
- Jun. 2020 – Our paper entitled “Low-level multiscale image segmentation and a benchmark for its evaluation” by Emre Akbas and Narendra Ahuja is accepted to Computer Vision and Image Understanding (CVIU).
- Mar. 2020 – Our paper entitled “Imbalance Problems in Object Detection: A Review” by Kemal Oksuz, Baris Can Cam, Sinan Kalkan and Emre Akbas is accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Links: pdf, repository, publisher’s page.
- Feb. 2020 – We will be organizing an ECCV2020 workshop on “Imbalance Problems in Computer Vision” in August 2020. Please consider contributing. Links: workshop home, call for papers.
- Feb. 2020 – We will be offering a new graduate course CEng 796 - Deep Generative Models in Spring 2020. Instructors are Gokberk Cinbis and Emre Akbas.
- Jan. 2020 – Our paper entitled “GANILLA: Generative adversarial networks for image to illustration translation” by Samet Hicsonmez, Nermin Samet, Emre Akbas and Pinar Duygulu is accepted to Image and Vision Computing. Links: pdf, code, publisher’s page.
- Dec. 2019 – Our paper entitled “Generating positive bounding boxes for balanced training of object detectors” by Kemal Oksuz, Baris Can Cam, Emre Akbas and Sinan Kalkan is accepted to IEEE Winter Conference on Applications of Computer Vision (WACV) 2020. Links: pdf, code, publisher’s page.