Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Advisor "Arun, S P"
Now showing items 1-4 of 4
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Audio-Visual association learning in Humans and Multimodal Networks
We easily learn audiovisual associations when we give visual objects their names. While humans easily learn the names of new objects while retaining previously learned information, deep neural networks forget old ... -
Compositionality of Object Representations in Brains and Machines
Compositionality in object vision can be defined as the principles governing the relationship between whole objects and their constituent attributes. It is known that object information falling on the retina is processed ... -
Computational Models of Perceptual Space : From Simple Features to Complex Shapes
(2018-02-15)Dissimilarity plays a very important role in object recognition. But, finding perceptual dissimilarity between objects is non-trivial as it is not equivalent to the pixel dissimilarity between the objects (For example, two ... -
How are visual object representations organized and used to perform tasks ?
We rely heavily on vision for our daily activities, and around 40% of our brain is dedicated to vision. It is known that during a visual task, the visual information falling on the retina is processed in a hierarchy of ...