Browsing by Author Subramanian, R.

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Showing results 1 to 11 of 11
Issue DateTitleAuthor(s)
13-Aug-2021The effect of eye movements in response to different types of scenes using a graph-based visual saliency algorithmWahid, M.; Waris, A.; Gilani, S. O.; Subramanian, R.
11-Oct-2024Examining the Influence of Personality and Multimodal Behavior on Hireability ImpressionsMalik, H.; Dhillon, H.; Parameshwara, R.; Goecke, R.; Subramanian, R.
2-Jul-2021The eyes know it: FakeET- An Eye-tracking database to understand deepfake perceptionGupta, P.; Dhall, A.; Chugh, K.; Subramanian, R.
21-Jul-2021Fakebuster: a deepfakes detection tool for video conferencing scenariosMehta, V.; Gupta, P.; Subramanian, R.; Dhall, D.
3-Jul-2021GAZED– Gaze-guided cinematic editing of Wide-Angle monocular video recordingsMoorthy, K. L. B.; Kumar, M.; Subramanian, R.; Gandhi, V.
21-Aug-2022Head matters: Explainable human-centered trait prediction from head motion dynamicsMadan, S.; Gahalawat, M.; Guha, T.; Subramanian, R.
20-Jun-2022Music Identification Using Brain Responses to Initial SnippetsPandey, P.; Sharma, G.; Miyapuram, K.P.; Subramanian, R.; Lomas, D.
3-Jul-2021Not made for each other– Audio-Visual Dissonance-based deepfake detection and localizationChugh, K.; Dhall, A.; Gupta, P.; Subramanian, R.
4-Jul-2021Recognition of advertisement emotions with application to computational advertisingShukla, A.; Gullapuram, S. S.; Katti, H.; Kankanhalli, M.; Winkler, S.; Subramanian, R.
25-Jun-2022Recognition of Advertisement Emotions with Application to Computational AdvertisingShukla, A.; Gullapuram, S. S.; Katti, H.; Kankanhalli, M.; Winkler, S.; Subramanian, R.
11-Nov-2022A transformer based approach for activity detectionSharma, G.; Dhall, A.; Subramanian, R.