Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Agrawal, Yudhik"'
Music has the power to evoke intense emotional experiences and regulate the mood of an individual. With the advent of online streaming services, research in music recommendation services has seen tremendous progress. Modern methods leveraging the lis
Externí odkaz:
http://arxiv.org/abs/2110.01001
Publikováno v:
Lecture Notes in Computer Science, 12657 (2021) 167-175
The task of identifying emotions from a given music track has been an active pursuit in the Music Information Retrieval (MIR) community for years. Music emotion recognition has typically relied on acoustic features, social tags, and other metadata to
Externí odkaz:
http://arxiv.org/abs/2101.02051
Publikováno v:
2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Synthesis of long-term human motion skeleton sequences is essential to aid human-centric video generation with potential applications in Augmented Reality, 3D character animations, pedestrian trajectory prediction, etc. Long-term human motion synthes
Externí odkaz:
http://arxiv.org/abs/2012.10744
Publikováno v:
International Society for Music Information Retrieval Conference, (2020) 54-61
As the field of Music Information Retrieval grows, it is important to take into consideration the multi-modality of music and how aspects of musical engagement such as movement and gesture might be taken into account. Bodily movement is universally a
Externí odkaz:
http://arxiv.org/abs/2007.10695
3D Human Body Reconstruction from a monocular image is an important problem in computer vision with applications in virtual and augmented reality platforms, animation industry, en-commerce domain, etc. While several of the existing works formulate it
Externí odkaz:
http://arxiv.org/abs/1908.06544
Autor:
Agrawal, Yudhik1 (AUTHOR) yudhik.agrawal@research.iiit.ac.in, Carlson, Emily2 (AUTHOR), Toiviainen, Petri2 (AUTHOR), Alluri, Vinoo1 (AUTHOR)
Publikováno v:
Scientific Reports. 2/17/2022, Vol. 12 Issue 1, p1-14. 14p.
