CVPR 2020 MVM Workshop
23 videos • 910 views • by Fish Tung
CVPR 2020 MVM Workshop, June 15 Minds vs. Machines: How far are we from the common sense of a toddler? Workshop website: http://www.mindsvsmachines.com/
1
Opening Remarks
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2
Elizabeth Spelke | What infants know (and don't know)
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3
Aude Oliva | Cognitive Insights for Models of Visual Recognition
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4
Dan Yurovsky | Toddlers' common sense operates in socially-supported contexts
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5
Josh Tenenbaum | Reverse-engineering core common sense
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6
Oral Paper: Learning to Learn Words from Visual Scenes (Dídac Surís and Dave Epstein)
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7
Oral Paper: Visual Commonsense Representation Learning via Causal Inference (Tan Wang)
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8
Oral paper: Response Time Analysis for Explainability of Visual Processing (Eric Taylor)
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9
Linda Smith | Common sense and the visual experiences of toddlers
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10
Bruno Olshausen | How far are we from the common sense of a jumping spider?
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11
Larry Zitnick | What is the right question to ask?
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12
Alison Gopnik | Children are MESSes - Model Building Exploratory Social Learning Systems
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13
Jitendra Malik | Turing's Baby
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14
Panel Discussion | CVPR 2020 MVM Workshop
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15
5 mins spotlight: Hierarchical Color Learning in Convolutional Neural Networks
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16
5 mins spotlight: Oops! Predicting Unintentional Action in Video
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17
5 mins spotlight: Story Completion with Explicit Modeling of Commonsense Knowledge
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18
5 mins spotlight: Visual Commonsense Representation Learning via Causal Inference
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19
5 mins spotlight: SomethingFinder: Localizing undefined regions using referring expressions
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20
5 mins spotlight: Understanding Knowledge Gaps in Visual Question Answering
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21
5 mins spotlight: Learning to Learn Words from Visual Scenes
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22
5 mins spotlight: Learning Intuitive Physics by Explaining Surprise
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23
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations
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