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Author Information
Pin-Yu Chen (IBM Research AI)
Alex Gittens (Rensselaer Polytechnic Institute)
Bo Li (UIUC)
Celia Cintas (IBM Research Africa)
Hilde Kuehne (Goethe University Frankfurt, MIT-IBM Waston AI Lab)

Prof. Dr. Hilde Kuehne is Head of Computer Vision and Machine Learning at the Computational Vision & Artificial Intelligence Group at the Goethe University Frankfurt and an affiliated professor at the MIT-IBM Watson AI Lab. Her research focuses on weakly and unsupervised recognition and understanding of video data. She obtained her doctoral degree in engineering from the Karlsruhe Institute of Technology (KIT) in 2014. Her experience includes projects with various European and US universities and international technology companies with a focus on image and video understanding processing. She has published various high-impact publications in the field, including the HMDB action classification dataset. She has organized various workshops in the field and served as area chair for CVPR, ICCV, and WACV. Beyond her work, she is committed to bringing more diversity to STEM.
Payel Das (IBM Research)
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2018 Poster: Efficient Neural Network Robustness Certification with General Activation Functions »
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