66 citations · 89 across the 4 of their papers we have counts for
7 papers
Pindrop it! Audio and Visual Deepfake Countermeasures for Robust Detection and Fine Grained-Localization
Nicholas Klein, Hemlata Tak, James Fullwood +5
The field of visual and audio generation is burgeoning with new state-of-the-art methods. This rapid proliferation of new techniques underscores the need for robust solutions for d…
Novel View Video Prediction Using a Dual Representation
Sarah Shiraz, Krishna Regmi, Shruti Vyas +2
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. Th…
Bridging the Domain Gap for Ground-to-Aerial Image Matching
Krishna Regmi, Mubarak Shah
The visual entities in cross-view images exhibit drastic domain changes due to the difference in viewpoints each set of images is captured from. Existing state-of-the-art methods a…
From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval
Mohamed Elfeki, Krishna Regmi, Shervin Ardeshir +1
First-person (egocentric) and third person (exocentric) videos are drastically different in nature. The relationship between these two views have been studied in recent years, howe…
Cross-view image synthesis using geometry-guided conditional GANs
Krishna Regmi, Ali Borji
We address the problem of generating images across two drastically different views, namely ground (street) and aerial (overhead) views. Image synthesis by itself is a very challeng…
Cross-View Image Synthesis using Conditional GANs
Krishna Regmi, Ali Borji
Learning to generate natural scenes has always been a challenging task in computer vision. It is even more painstaking when the generation is conditioned on images with drastically…