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I am a Senior Researcher at Facebook Reality Labs. I previously worked in the Core Display Incubation team at Apple and Applied Vision Science team at Dolby Laboratories. Before that I was at Disney Research in Zurich, advised by Aljoscha Smolic. I did my PhD at ETH Zurich, where I was advised by Markus Gross at the Computer Graphics Laboratory. I did my masters at IMPA in the Visgraf lab and my bachelors at the Federal University of Juiz de Fora. |
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I am interested in image and video processing, computational capture and display, stereo 3D, HDR, applied perception and virtual reality. Most of my research deals with creating and then displaying high quality content on novel displays. |
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We unified contrast sensitivity datasets from the literature, which allowed us to create the most comprehensive and precise CSF model to date. This new model can be used to improve many applications in visual computing, such as metrics. Data, code, and additional information available on our project page. |
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We created a new foveated spatiotemporal metric, following the VDP line of work. This metric is fast, easy to use and has been carefully calibrated on several large datasets. |
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We studied the main perceptual components of judder, the perceptual artifact of non-smooth motion. In particular, adaptation luminance is a strong factor on judder that has changed significantly with modern generations of displays. Errata: In the table of coefficients in Sec. A3, the two-before-last coefficient should be ~0 instead of 1.01. The coefficient is correctly written out in the supplementary material, but not in the manuscript. |
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Author's version available here, link to ACM TAP version above. We studied the influence of screen size and distance on perceived brightness for screens as large as cinema and as small as mobile phones, an issue that affects artistic intent and appearance matching. |
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We created an immersive gaming system out of a legacy console. This work received wide media attention and was presented at the Ludicious game festival in Zurich. |
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We defined the production and distribution challenges facing the content creation industry in the current HDR landscape and proposed Continuous Dynamic Range video as a solution. |
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We developed a pipeline to segment and analyze video. Our technique could be applied for smarter editing. |
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We use non-photorealistic shading as an alternative 3D cue, augmenting the feeling of depth in stereoscopic images. |
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We conducted perceptual experiments to quantify cardboarding - an artifact that occurs when not enough depth is given to a stereoscopic 3D image region. |
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We measured perceptual aspects of autostereo content and created a depth re-mapping algorithm that tries to optimize content so that the most important regions have a fuller sense of depth while staying within the limits of the technology. |
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We created a capture and processing pipeline to generate HDR video on a mobile phone by taking sequential multiple exposures. |
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We improved our edge detector by using eigenvalues. |
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We detected high frequencies using an orientation tensor and multiresolution. |
Posters: |
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We found that visual saliency can be used as a predictor for video watching behavior in online platforms. |
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We used an aditional per-pixel parameter to avoid ghosting from motion when generating exposure-fusion videos on a mobile phone. (Student research competition semi-finalist) |
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We created a capture and processing pipeline to generate HDR video on a mobile phone by taking sequential multiple exposures. |
| Additional publications available upon request. |
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