SVRHM Workshop 2020
18 videos • 1,614 views • by MITCBMM
1
SVRHM 2020 Opening Remarks
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2
THINGS: A large-scale global initiative to study the cognitive, computational, and neural mechani...
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3
Characterizing models of visual intelligence
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4
It's about time. Modelling human visual inference with deep recurrent neural networks.
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5
Do deep networks see the way we do? Qualitative and quantitative differences
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6
On the surprising similarities between supervised and self-supervised models
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7
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
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8
Modeling the influence of feedback in the visual system
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9
Social visual representations in humans and machines
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10
As simple as possible, but not simpler: features of the neural code for visual recognition
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11
Resolving Human Brain Responses in Space and Time
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12
Task-Driven Learning of Contour Integration Responses in a V1 Model
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13
Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye move...
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14
Parallel developmental changes in children's drawing and recognition of visual concepts.
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15
Visual Search: Differences between your Brain and Deep Neural Networks
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16
Why it pays to study Psychology: Lessons from Computer Vision
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17
SVRHM 2020 - Concluding Remarks
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18
Adversarial examples for humans
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