Search Results for author: Gaurav Shrivastava

Found 4 papers, 2 papers with code

Diverse Video Generation using a Gaussian Process Trigger

1 code implementation ICLR 2021 Gaurav Shrivastava, Abhinav Shrivastava

Our approach, Diverse Video Generator, uses a Gaussian Process (GP) to learn priors on future states given the past and maintains a probability distribution over possible futures given a particular sample.

Video Generation Video Prediction

Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions

no code implementations CVPR 2021 Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava

Our work builds on hierarchical video prediction models, which disentangle the video generation process into two stages: predicting a high-level representation, such as pose sequence, and then learning a pose-to-pixels translation model for pixel generation.

Human-Object Interaction Detection Relational Reasoning +3

Learning What Not to Model: Gaussian Process Regression with Negative Constraints

no code implementations1 Jan 2021 Gaurav Shrivastava, Harsh Shrivastava, Abhinav Shrivastava

But, what if for an input point '$\bar{\mathbf{x}}$', we want to constrain the GP to avoid a target regression value '$\bar{y}(\bar{\mathbf{x}})$' (a negative datapair)?

Navigate regression

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