Search Results for author: Sai Saketh Rambhatla

Found 5 papers, 1 papers with code

To Boost or not to Boost: On the Limits of Boosted Neural Networks

no code implementations28 Jul 2021 Sai Saketh Rambhatla, Michael Jones, Rama Chellappa

Boosting is a method for finding a highly accurate hypothesis by linearly combining many ``weak" hypotheses, each of which may be only moderately accurate.

Object Recognition

The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory

no code implementations4 May 2021 Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava

We tackle object category discovery, which is the problem of discovering and localizing novel objects in a large unlabeled dataset.

Spatial Priming for Detecting Human-Object Interactions

no code implementations9 Apr 2020 Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa

The proposed method consists of a layout module which primes a visual module to predict the type of interaction between a human and an object.

Human-Object Interaction Detection

Detecting Human-Object Interactions via Functional Generalization

no code implementations5 Apr 2019 Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa

We present an approach for detecting human-object interactions (HOIs) in images, based on the idea that humans interact with functionally similar objects in a similar manner.

Human-Object Interaction Detection

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