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pro vyhledávání: '"Subramaniam, Arulkumar"'
Video frame interpolation aims to synthesize one or multiple frames between two consecutive frames in a video. It has a wide range of applications including slow-motion video generation, frame-rate up-scaling and developing video codecs. Some older w
Externí odkaz:
http://arxiv.org/abs/2201.11407
Autor:
Subramaniam, Arulkumar, Vaidya, Jayesh, Ameen, Muhammed Abdul Majeed, Nambiar, Athira, Mittal, Anurag
Video-based computer vision tasks can benefit from estimation of the salient regions and interactions between those regions. Traditionally, this has been done by identifying the object regions in the images by utilizing pre-trained models to perform
Externí odkaz:
http://arxiv.org/abs/2111.07370
Representation learning from 3D point clouds is challenging due to their inherent nature of permutation invariance and irregular distribution in space. Existing deep learning methods follow a hierarchical feature extraction paradigm in which high-lev
Externí odkaz:
http://arxiv.org/abs/2011.00923
Autor:
Subramaniam, Arulkumar, Vaidya, Jayesh, Ameen, Muhammed Abdul Majeed, Nambiar, Athira, Mittal, Anurag
Publikováno v:
In Computer Vision and Image Understanding October 2022 223
Autor:
Subramaniam, Arulkumar, Patel, Vismay, Mishra, Ashish, Balasubramanian, Prashanth, Mittal, Anurag
We propose a novel approach for First Impressions Recognition in terms of the Big Five personality-traits from short videos. The Big Five personality traits is a model to describe human personality using five broad categories: Extraversion, Agreeable
Externí odkaz:
http://arxiv.org/abs/1610.10048