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Bill Freeman
Fri Dec 08 04:00 PM -- 04:30 PM (PST) @
Event URL: https://billf.mit.edu/ »
William T. Freeman is the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science at MIT. His current research interests include motion rerendering, computational photography, and learning for vision. He received outstanding paper awards at computer vision or machine learning conferences in 1997, 2006, 2009 and 2012, and recently won "test of time" awards for papers written in 1991 and 1995. Previous research topics include steerable filters and pyramids, the generic viewpoint assumption, color constancy, bilinear models for separating style and content, and belief propagation in networks with loops. He holds 30 patents.
Author Information
Bill Freeman (MIT/Google)
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2021 Spotlight: Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering »
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2020 Demonstration: MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval »
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2019 : Feathers, wings and the future of computer vision research »
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2019 Poster: Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization »
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2018 Poster: Learning to Reconstruct Shapes from Unseen Classes »
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2018 Oral: Learning to Reconstruct Shapes from Unseen Classes »
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2018 Poster: Visual Object Networks: Image Generation with Disentangled 3D Representations »
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2018 Poster: 3D-Aware Scene Manipulation via Inverse Graphics »
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2018 Poster: Co-regularized Alignment for Unsupervised Domain Adaptation »
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2017 Spotlight: Shape and Material from Sound »
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2017 Spotlight: Scene Physics Acquisition via Visual De-animation »
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2017 Poster: Learning to See Physics via Visual De-animation »
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2016 : Bill Freeman »
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2016 Poster: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling »
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2016 Poster: Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks »
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2015 Poster: Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning »
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2014 Poster: Shape and Illumination from Shading using the Generic Viewpoint Assumption »
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2010 Workshop: Machine Learning meets Computational Photography »
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2009 Poster: Segmenting Scenes by Matching Image Composites »
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2009 Poster: Nonparametric Bayesian Texture Learning and Synthesis »
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2008 Mini Symposium: Computational Photography »
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