35:57A Talk by Hyun Soo Park on "Learning from First Person Demonstrations".
A 36-minute video from IU Computer Vision: “A Talk by Hyun Soo Park on "Learning from First Person Demonstrations".”.
IU Computer Vision
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35:57
50:03A talk by Dana Ballard on "A modular account of the control of visual perception and action".
A 50-minute video from IU Computer Vision: “A talk by Dana Ballard on "A modular account of the control of visual perception and action".”.
53:23A talk by Jim Rehg on "Egocentric computer vision".
A 53-minute video from IU Computer Vision: “A talk by Jim Rehg on "Egocentric computer vision".”.
42:09A talk by Karen Adolph on "Natural Perception and Action: What Infants Really See and Do".
Advanced
A 42-minute video from IU Computer Vision: “A talk by Karen Adolph on "Natural Perception and Action: What Infants Really See and Do".”.
29:17AJ Piergiovanni on "Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters"
A 29-minute video from IU Computer Vision: “AJ Piergiovanni on "Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters"”.
59:45Can Liu, Indiana University, "Feature Selection for Sentiment Analysis"
A 60-minute video from IU Computer Vision: “Can Liu, Indiana University, "Feature Selection for Sentiment Analysis"”.
59:26Dr. Adam White,"Developing a Predictive Approach to Knowledge"
A 59-minute video from IU Computer Vision: “Dr. Adam White,"Developing a Predictive Approach to Knowledge"”.
1:06:17Dr. Olga Scrivner on "Developing interactive visual tools with Shiny for data mining".
A 66-minute video from IU Computer Vision: “Dr. Olga Scrivner on "Developing interactive visual tools with Shiny for data mining".”.
57:23Dr. Sun Sun,"Intelligent Control of Storage&Flexible Loads in Renewable-Integrated Electrical Grids"
A 57-minute video from IU Computer Vision: “Dr. Sun Sun,"Intelligent Control of Storage&Flexible Loads in Renewable-Integrated Electrical Grids"”.
59:24Erik Weitnauer and Christian Achgill, "Graspable Math"
A 59-minute video from IU Computer Vision: “Erik Weitnauer and Christian Achgill, "Graspable Math"”.
40:31Jaimie Murdock, "Darwin’s Semantic Voyage"
A 41-minute video from IU Computer Vision: “Jaimie Murdock, "Darwin’s Semantic Voyage"”.
56:23Marlena Fraune, "How does one-on-one versus group presence change social interaction with robots?"
A 56-minute video from IU Computer Vision: “Marlena Fraune, "How does one-on-one versus group presence change social interaction with robots?"”.
58:47Michael Ryoo, "Can robots understand human activities?"
A 59-minute video from IU Computer Vision: “Michael Ryoo, "Can robots understand human activities?"”.
46:31Phillip Odom, Indiana University, "Active Advice-Seeking for Inverse Reinforcement Learning"
A 47-minute video from IU Computer Vision: “Phillip Odom, Indiana University, "Active Advice-Seeking for Inverse Reinforcement Learning"”.
26:27Prashant Shiralkar on "RelSifter: Scoring Triples from Type-like Relations "
Advanced
A 26-minute video from IU Computer Vision: “Prashant Shiralkar on "RelSifter: Scoring Triples from Type-like Relations "”.
52:12Praveen Narayanan, "Emphasizing modularity in machine learning programs"
A 52-minute video from IU Computer Vision: “Praveen Narayanan, "Emphasizing modularity in machine learning programs"”.
1:02:40Prof Grigory Yaroslavtsev on "What’s new in The Big Data Theory?"
A 63-minute video from IU Computer Vision: “Prof Grigory Yaroslavtsev on "What’s new in The Big Data Theory?"”.
1:15:16Prof. Eduardo Izquierdo, "Towards a Brain-Body-Environment Computational Model of a Living Organism"
A 75-minute video from IU Computer Vision: “Prof. Eduardo Izquierdo, "Towards a Brain-Body-Environment Computational Model of a Living Organism"”.
1:05:07Prof. Jerome Busemeyer,""Applying quantum probability theory to big data analysis"
A 65-minute video from IU Computer Vision: “Prof. Jerome Busemeyer,""Applying quantum probability theory to big data analysis"”.
59:47Prof. Martha White, "Sample Efficient Methods for Reinforcement Learning"
A 60-minute video from IU Computer Vision: “Prof. Martha White, "Sample Efficient Methods for Reinforcement Learning"”.
1:07:30Prof. Michael Trosset, ""Some Thoughts on Manifold Learning""
A 68-minute video from IU Computer Vision: “Prof. Michael Trosset, ""Some Thoughts on Manifold Learning""”.
58:46Prof. Patrick Shih, "Temporal and Comparative Analysis of Teen and Adult Behaviors on Instagram"
A 59-minute video from IU Computer Vision: “Prof. Patrick Shih, "Temporal and Comparative Analysis of Teen and Adult Behaviors on Instagram"”.
56:23Prof. Pedja Radivojac, "Learning proportions in a semi-supervised setting "
A 56-minute video from IU Computer Vision: “Prof. Pedja Radivojac, "Learning proportions in a semi-supervised setting "”.
52:59Prof. Sriraam Natarajan, "Efficient Human-in-the-loop Statistical Relational Learning"
A 53-minute video from IU Computer Vision: “Prof. Sriraam Natarajan, "Efficient Human-in-the-loop Statistical Relational Learning"”.
58:24Prof. Xiaozhong Liu, "Heterogeneous Graph + Text Mining Enabled Information Understanding"
Advanced
A 58-minute video from IU Computer Vision: “Prof. Xiaozhong Liu, "Heterogeneous Graph + Text Mining Enabled Information Understanding"”.
35:50Rob Zinkov, "Composing inference methods for probabilistic models"
A 36-minute video from IU Computer Vision: “Rob Zinkov, "Composing inference methods for probabilistic models"”.
1:07:55Roman Fedorov, "Computer Vision Techniques for Environmental Monitoring"
A 68-minute video from IU Computer Vision: “Roman Fedorov, "Computer Vision Techniques for Environmental Monitoring"”.
57:16Shantanu Jain, "Mixing Proportion in Two Component Mixtures: Identifiability and Estimation"
A 57-minute video from IU Computer Vision: “Shantanu Jain, "Mixing Proportion in Two Component Mixtures: Identifiability and Estimation"”.
51:52Talk by Mary Hayhoe on "Vision in the context of natural behavior".
A 52-minute video from IU Computer Vision: “Talk by Mary Hayhoe on "Vision in the context of natural behavior".”.
28:18Talk by Shujon Naja on "Zero-shot learning for visual recognition problems"
A 28-minute video from IU Computer Vision: “Talk by Shujon Naja on "Zero-shot learning for visual recognition problems"”.
52:12Xiaoran Yan, "Dynamical processes on networks and graph transformations"
A 52-minute video from IU Computer Vision: “Xiaoran Yan, "Dynamical processes on networks and graph transformations"”.
1:01:16Zachary Tosi, "Self-Organizing a Neural Circuit"
A 61-minute video from IU Computer Vision: “Zachary Tosi, "Self-Organizing a Neural Circuit"”.