Search Results for author: Krishna Regmi

Found 7 papers, 5 papers with code

Novel View Video Prediction Using a Dual Representation

no code implementations7 Jun 2021 Sarah Shiraz, Krishna Regmi, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah

We address the problem of novel view video prediction; given a set of input video clips from a single/multiple views, our network is able to predict the video from a novel view.

SSIM Video Prediction

Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing

1 code implementation ICCV 2021 Krishna Regmi, Mubarak Shah

In this paper, we address the problem of video geo-localization by proposing a Geo-Temporal Feature Learning (GTFL) Network to simultaneously learn the discriminative features between the query videos and gallery images for estimating the geo-spatial trajectory of a query video.

Bridging the Domain Gap for Ground-to-Aerial Image Matching

1 code implementation ICCV 2019 Krishna Regmi, Mubarak Shah

Our Feature Fusion method combines the complementary features from a synthesized aerial image with the corresponding ground features to obtain a robust query representation.

Retrieval

From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval

1 code implementation1 Dec 2018 Mohamed Elfeki, Krishna Regmi, Shervin Ardeshir, Ali Borji

In this work, we introduce two datasets (synthetic and natural/real) containing simultaneously recorded egocentric and exocentric videos.

Domain Adaptation Generative Adversarial Network +2

Cross-view image synthesis using geometry-guided conditional GANs

2 code implementations14 Aug 2018 Krishna Regmi, Ali Borji

For this, we propose to use homography as a guide to map the images between the views based on the common field of view to preserve the details in the input image.

Cross-View Image-to-Image Translation Image Generation

EgoTransfer: Transferring Motion Across Egocentric and Exocentric Domains using Deep Neural Networks

no code implementations17 Dec 2016 Shervin Ardeshir, Krishna Regmi, Ali Borji

On one hand, the abundance of egocentric cameras in the past few years has offered the opportunity to study a lot of vision problems from the first-person perspective.

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