Hila Chefer

23 total papers · 581 total citations
3 papers, 66 citations indexed

Hila Chefer is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Economics and Econometrics. According to data from OpenAlex, Hila Chefer has authored 3 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Cognitive Neuroscience and 1 paper in Economics and Econometrics. Recurrent topics in Hila Chefer’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Aesthetic Perception and Analysis (1 paper) and Multimodal Machine Learning Applications (1 paper). Hila Chefer is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Aesthetic Perception and Analysis (1 paper) and Multimodal Machine Learning Applications (1 paper). Hila Chefer collaborates with scholars based in Israel, Denmark and United States. Hila Chefer's co-authors include Yuval Alaluf, Yael Vinker, Daniel Cohen‐Or, Lior Wolf, Michael Rubinstein, Ariel Ephrat, Sagie Benaim, Omer Tov, Tomer Michaeli and Tali Dekel and has published in prestigious journals such as ACM Transactions on Graphics and Research at the University of Copenhagen (University of Copenhagen).