34 citations · 37 across the 2 of their papers we have counts for
5 papers
Multimodal Fusion Based Attentive Networks for Sequential Music Recommendation
Kunal Vaswani, Yudhik Agrawal, Vinoo Alluri
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 se…
Transformer-based approach towards music emotion recognition from lyrics
Yudhik Agrawal, Ramaguru Guru Ravi Shanker, Vinoo Alluri
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 typ…
GlocalNet: Class-aware Long-term Human Motion Synthesis
Neeraj Battan, Yudhik Agrawal, Veeravalli Saisooryarao +2
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,…
Towards Multimodal MIR: Predicting individual differences from music-induced movement
Yudhik Agrawal, Samyak Jain, Emily Carlson +2
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…
HumanMeshNet: Polygonal Mesh Recovery of Humans
Abbhinav Venkat, Chaitanya Patel, Yudhik Agrawal +1
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-…