Ashkan Khakzar
Researcher in Machine Learning and Computer Vision
I’m a postdoctoral researcher in machine learning and computer vision working with Philip Torr at the University of Oxford. I am driven by my curiosity about understanding how intelligence emerges in neural networks through learning. Thus my PhD research was focused on how to interpret neural networks, and I was lucky to have this experience at the Technical University of Munich (TUM). I was inspired throughout my entire PhD journey by my supervisor, Nassir Navab. I am very thankful to Bernt Schiele for reviewing my PhD research and inspiring me with his ideas. These days I am following the same vision in the context of vision-language foundation models.
news
Sep 28, 2024 | Check out our ECCV 2024 workshop: Emergent Visual Abilities and Limits of Foundation Models. |
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Sep 27, 2024 | We have a paper in NeurIPS 24 on evaluating abstract shape recognition in vision-language models (uploading soon). |
Sep 12, 2024 | Was awarded a grant by the Google Gemma 2 Academic Program to do research on GemmaScope |
Aug 12, 2024 | We have a perspective paper on the cognitive revolution in interpreting neural networks. |
Jul 4, 2024 | Check out our ECCV 2024 paper on safe text to image generation. |
Jun 6, 2024 | Check out our paper on guiding the attention of vision transformers. |
Apr 25, 2024 | Invited speaker at Trustworthy Multimodal Learning with Foundation Models at British Machine Vision Assosication. Talk title: Understanding Foundation Models through Interpretation and Evaluation. |