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pro vyhledávání: '"Regmi, Krishna"'
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. The proposed approach does not require any priors and is able to predict
Externí odkaz:
http://arxiv.org/abs/2106.03956
Autor:
Regmi, Krishna1 (AUTHOR) krishna.regmi.econ@gmail.com
Publikováno v:
ILR Review. Oct2022, Vol. 75 Issue 5, p1240-1268. 29p. 8 Charts, 4 Graphs.
Autor:
Regmi, Krishna, Shah, Mubarak
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 address the problem by learning view-invariant descriptors for the imag
Externí odkaz:
http://arxiv.org/abs/1904.11045
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, however, it has yet to be fully explored. In this work, we introduce two d
Externí odkaz:
http://arxiv.org/abs/1812.00104
Autor:
Regmi, Krishna, Borji, Ali
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 challenging computer vision task and is even more so when generation is condit
Externí odkaz:
http://arxiv.org/abs/1808.05469
Autor:
Regmi, Krishna, Borji, Ali
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 different views. This is mainly because understanding, corresponding,
Externí odkaz:
http://arxiv.org/abs/1803.03396
Autor:
Regmi, Krishna
This dissertation consists of three essays. The first essay empirically investigates whether South Asian countries constitute an optimum currency area (OCA) by applying a structural vector auto-regression (SVAR) model to trace global, regional, and d
Externí odkaz:
http://pqdtopen.proquest.com/#viewpdf?dispub=3712871
Autor:
Thapa, Kshitij, Regmi, Krishna Raj, Shah, Dinesh, Sharma, Ram Kumar, Panomsuwan, Gasidit, Techapiesancharoenkij, Ratchatee, Pant, Hem Raj
Publikováno v:
In Chemical Physics Letters 16 August 2022 801
Akademický článek
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