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pro vyhledávání: '"Katti, Harish"'
We present \textbf{ACAD}, an \textbf{a}ffective \textbf{c}omputational \textbf{ad}vertising framework expressly derived from perceptual metrics. Different from advertising methods which either ignore the emotional nature of (most) programs and ads, o
Externí odkaz:
http://arxiv.org/abs/2207.07297
Autor:
Jacob, Georgin, Katti, Harish
The Algonauts challenge is about predicting the object representations in the form of Representational Dissimilarity Matrices (RDMS) derived from visual brain regions. We used a customized deep learning model using the concept of Siamese networks and
Externí odkaz:
http://arxiv.org/abs/2001.05841
Autor:
Shukla, Abhinav, Gullapuram, Shruti Shriya, Katti, Harish, Kankanhalli, Mohan, Winkler, Stefan, Subramanian, Ramanathan
Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognition (AR) approaches examine ads via the text modality, and only limite
Externí odkaz:
http://arxiv.org/abs/1904.01778
Autor:
Valiyamattam, Georgitta J., Katti, Harish, Chaganti, Vinay K., O’Haire, Marguerite E., Sachdeva, Virender
Publikováno v:
In Research in Developmental Disabilities June 2023 137
Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. However, the use of content-based feature representations does not give in
Externí odkaz:
http://arxiv.org/abs/1808.04610
Our vision is sharpest at the center of our gaze and becomes progressively blurry into the periphery. It is widely believed that this high foveal resolution evolved at the expense of peripheral acuity. But what if this sampling scheme is actually opt
Externí odkaz:
http://arxiv.org/abs/1807.08476
Publikováno v:
In Vision Research November 2022 200
Autor:
Shukla, Abhinav, Gullapuram, Shruti Shriya, Katti, Harish, Yadati, Karthik, Kankanhalli, Mohan, Subramanian, Ramanathan
Despite the fact that advertisements (ads) often include strongly emotional content, very little work has been devoted to affect recognition (AR) from ads. This work explicitly compares content-centric and user-centric ad AR methodologies, and evalua
Externí odkaz:
http://arxiv.org/abs/1709.01684
Autor:
Shukla, Abhinav, Gullapuram, Shruti Shriya, Katti, Harish, Yadati, Karthik, Kankanhalli, Mohan, Subramanian, Ramanathan
Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coherent emotions across users, as determined from the affective opinions of
Externí odkaz:
http://arxiv.org/abs/1709.01683
Autor:
Katti, Harish, Arun, S. P.
Faces form the basis for a rich variety of judgments in humans, yet the underlying features remain poorly understood. Although fine-grained distinctions within a race might more strongly constrain possible facial features used by humans than in case
Externí odkaz:
http://arxiv.org/abs/1703.07595