22 citations · 58 across the 13 of their papers we have counts for
13 papers
Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
Anupam Sharma, Harish Katti, Prajwal Singh +2
An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the brain, measured from the human scalp. Prior studies have explored EEG-based class…
UnCageNet: Tracking and Pose Estimation of Caged Animal
Sayak Dutta, Harish Katti, Shashikant Verma +1
Animal tracking and pose estimation systems, such as STEP (Simultaneous Tracking and Pose Estimation) and ViTPose, experience substantial performance drops when processing images a…
STEP: Simultaneous Tracking and Estimation of Pose for Animals and Humans
Shashikant Verma, Harish Katti, Soumyaratna Debnath +2
We introduce STEP, a novel framework utilizing Transformer-based discriminative model prediction for simultaneous tracking and estimation of pose across diverse animal species and…
L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild
Soumyaratna Debnath, Harish Katti, Shashikant Verma +1
While 2D pose estimation has advanced our ability to interpret body movements in animals and primates, it is limited by the lack of depth information, constraining its application…
Affective Computational Advertising Based on Perceptual Metrics
Soujanya Narayana, Shweta Jain, Harish Katti +2
We present \textbf{ACAD}, an \textbf{a}ffective \textbf{c}omputational \textbf{ad}vertising framework expressly derived from perceptual metrics. Different from advertising methods…
Predicting population neural activity in the Algonauts challenge using end-to-end trained Siamese networks and group convolutions
Georgin Jacob, Harish Katti
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 cu…
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognit…
Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements
Abhinav Shukla, Harish Katti, Mohan Kankanhalli +1
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. Howe…
Human peripheral blur is optimal for object recognition
R. T. Pramod, Harish Katti, S. P. Arun
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…
Evaluating Content-centric vs User-centric Ad Affect Recognition
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
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 com…
Affect Recognition in Ads with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
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 coheren…
Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification
Harish Katti, S. P. Arun
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 st…
Deep neural networks can be improved using human-derived contextual expectations
Harish Katti, Marius V. Peelen, S. P. Arun
Real-world objects occur in specific contexts. Such context has been shown to facilitate detection by constraining the locations to search. But can context directly benefit object…