Emre Akbas

Çiçeksepeti'nden bir düğün çelengi sipariş etmiştik. Görsel 1: web sitesinde bizim seçtiğimiz tasarım. Görsel 2: nikah günü çiçeksepeti'nin bize gönderdiği foto. Yazıları bulanıklaştırdım. Görsel 3: teslim edilen çelenk. Bir açıklamanız var mı @ciceksepeti ?

Links to the papers, code, and short summaries will be shared soon.

3. Explaining CLIP Zero-Shot Predictions Through Concepts. ✍ Onat Özdemir, Anders Christensen, Stephan Alaniz, Zeynep Akata, Emre Akbas. (Collaboration between @HelmholtzMunich and @METU_ODTU )

We will present the following papers at hashtag #CVPR 2026 in Denver, CO: 1. MatchED: Crisp Edge Detection Using End-to-End, Matching-Based Supervision. ✍ Bedrettin Çetinkaya, Sinan Kalkan, Emre Akbas.

@jbhuang0604 🤔 I don't remember this painting at all! 😁

Visited my office as a student 10 years ago at Beckman Institute! I always feel that this painting was dark and depressing (particularly so when I could not fix the bugs in my code). It’s still there!

@ftm_guney @metin_sitti Tebrikler!

Kadir Has Gelecek Vaadeden Bilim İnsanı Ödülü almışım 🤩 ne güzel haber, ne kadar anlamlı, bir o kadar da sorumluluk yükleyen bir ödül! değerli rektörümüz @metin_sitti Hoca'mızın kıymetli desteğiyle, ilk kez kendim başvurmadan ve birkaç kez reddedilmeden bir ödül aldım 😊

🔗 Course webpage: user.ceng.metu.edu.tr/~emre/Fall2025… The material may be useful for graduate students and researchers interested in deep learning fundamentals.

I am sharing the lecture recordings of CENG501 Deep Learning. 🎥 Lecture playlist: youtube.com/playlist?list=… (They are slides + audio only -- no instructor acting 🙂). The course page includes slides, Colab notebooks, and recommended readings:

Our genetic kinship estimation tool using deep learning is just out: onlinelibrary.wiley.com/doi/10.1111/17… Our models trained on simulated data work effectively on real data from diverse backgrounds and often better than available tools. Congratulations @mmerfff and team!

Our genetic kinship estimation tool “DeepKin” is now available! Our neural network models trained on simulated data work effectively on real ancient data from diverse backgrounds and often outperform available tools. onlinelibrary.wiley.com/doi/10.1111/17…

🙀 Great opportunity to work on robotics and AI at @MetuRomer ! Beautiful campus! State-of-the-art robotics and AI infrastructure! Exciting cutting-edge research projects! Warm and invigorating research atmosphere! Excellent pay! Deadline: Sep 5! Spread the word!

Postdoc fellowship opportunities at @METU_ODTU : enrichtogether.metu.edu.tr/faqs/ for 24 months, good compensation.

@shuchen_wu @cpilab Congratulations, @shuchen_wu !

I recently defended my PhD thesis studying chunking in cognition and machine learning, working with Eric Schulz and Peter Dayan. @cpilab Here is a summary of my studies during the years in Tuebingen.

🚀 We proudly lead the @METU_ODTU team in the CHERI mission, selected by CNSA as the flagship international collaboration for the Chang’e-8 lunar program, to design, build, and test AI-driven micro-rovers bound for the Moon’s South Pole in 2028.

The companion website is open to all at 384book.net. Book can be found at wiley.com/en-us/Signals+…

Wiley did an excellent job creating the e-book version. See the attached video for an excerpt! (The ebook is hosted at vitalsource.com)

🚀 New Textbook Announcement! 📖 Dear fellow academics, if you're teaching an undergraduate Signals and Systems course, consider using our new textbook: "Signals and Systems: Theory and Practical Explorations with Python".

🚀"Signals and Systems: Theory and Practical Explorations with Python" by our faculty members Fatos Yarman Vural (@FatosTunay) and Emre Akbas (@eakbas2) is out from Wiley! Learn more at wiley.com/en-us/Signals+…