München, Bayern, Deutschland
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Aktivitäten
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سهیلا فیض بخش به خاطر کارهای شگفتانگیزش در هندسه جبری برنده جایزه وایتهد ۲۰۲۳ شد. سهیلا عاشقترین ریاضیدانی است که در پروژه #آدمها_و_ریاضیات با او…
سهیلا فیض بخش به خاطر کارهای شگفتانگیزش در هندسه جبری برنده جایزه وایتهد ۲۰۲۳ شد. سهیلا عاشقترین ریاضیدانی است که در پروژه #آدمها_و_ریاضیات با او…
Beliebt bei Mohsen Mansouryar
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بهترین سال های عمرم، زمانی بود که استاد جوانی بودم با یک تیشرت آبی و شلوار جین، و دانشجویانم امید، عباس، مسعود، تو، محمد علی، مجتبی، محسن، احسان و…
بهترین سال های عمرم، زمانی بود که استاد جوانی بودم با یک تیشرت آبی و شلوار جین، و دانشجویانم امید، عباس، مسعود، تو، محمد علی، مجتبی، محسن، احسان و…
Beliebt bei Mohsen Mansouryar
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I-JEPA: Efficient method for Self-Supervised Learning of image features. No need for data augmentation, just masking. Joint embedding predictive…
I-JEPA: Efficient method for Self-Supervised Learning of image features. No need for data augmentation, just masking. Joint embedding predictive…
Beliebt bei Mohsen Mansouryar
Berufserfahrung und Ausbildung
Veröffentlichungen
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Light-field appearance editing based on intrinsic decomposition.
Journal of Perceptual Imaging 1.1
a framework for image-based surface appearance editing for light-field
data. Their framework improves over the state of the art without the need for a full “inverse
rendering,” so that full geometrical data, or presence of highly specular or reflective surfaces
are not required. It is robust to noisy or missing data, and handles many types of camera
array setup ranging from a dense light field to a wide-baseline stereo-image pair. -
3D gaze estimation from 2D pupil positions on monocular head-mounted eye trackers
ETRA '16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications
3D gaze information is important for scene-centric attention analysis, but accurate estimation and analysis of 3D gaze in real-world environments remains challenging. We present a novel 3D gaze estimation method for monocular head-mounted eye trackers. In contrast to previous work, our method does not aim to infer 3D eyeball poses, but directly maps 2D pupil positions to 3D gaze directions in scene camera coordinate space. We first provide a detailed discussion of the 3D gaze estimation task…
3D gaze information is important for scene-centric attention analysis, but accurate estimation and analysis of 3D gaze in real-world environments remains challenging. We present a novel 3D gaze estimation method for monocular head-mounted eye trackers. In contrast to previous work, our method does not aim to infer 3D eyeball poses, but directly maps 2D pupil positions to 3D gaze directions in scene camera coordinate space. We first provide a detailed discussion of the 3D gaze estimation task and summarize different methods, including our own. We then evaluate the performance of different 3D gaze estimation approaches using both simulated and real data. Through experimental validation, we demonstrate the effectiveness of our method in reducing parallax error, and we identify research challenges for the design of 3D calibration procedures.
Prüfungsergebnisse
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TOEFL iBT
Prüfungsergebnis: 107/120
Listening: 28, Speaking: 27, Reading: 26, Writing: 26
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English
Muttersprache oder zweisprachig
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Persian
Muttersprache oder zweisprachig
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German
Grundkenntnisse
Weitere Aktivitäten von Mohsen Mansouryar
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#ThrowbackThursday - It was wonderful to have so many of our Localitos together to connect, collaborate in person, and explore Montepulciano!…
#ThrowbackThursday - It was wonderful to have so many of our Localitos together to connect, collaborate in person, and explore Montepulciano!…
Beliebt bei Mohsen Mansouryar
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