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Found 15 papers, 4 papers with code
LM2D: Lyrics- and Music-Driven Dance Synthesis
First, we propose LM2D, a novel probabilistic architecture that incorporates a multimodal diffusion model with consistency distillation, designed to create dance conditioned on both music and lyrics in one diffusion generation step.
Scalable Motion Style Transfer with Constrained Diffusion Generation
Current training of motion style transfer systems relies on consistency losses across style domains to preserve contents, hindering its scalable application to a large number of domains and private data.
Music- and Lyrics-driven Dance Synthesis
To complement it, we introduce JustLMD, a new multimodal dataset of 3D dance motion with music and lyrics.
Component attention network for multimodal dance improvisation recognition
Motion analysis of improvised dance can be challenging due to its unique dynamics.
Diffusion-based Time Series Data Imputation for Microsoft 365
However, they suffer from poor data quality like data missing in model training and prediction, which limits the performance.
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models
Data-driven and controllable human motion synthesis and prediction are active research areas with various applications in interactive media and social robotics.
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Online sexism is a widespread and harmful phenomenon.
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection
During training, the model associates annotators with their label choices given a piece of text; during evaluation, when label information is not available, the model predicts the aggregated label given by the participating annotators by utilising the learnt association.
Dance Style Transfer with Cross-modal Transformer
We present CycleDance, a dance style transfer system to transform an existing motion clip in one dance style to a motion clip in another dance style while attempting to preserve motion context of the dance.
Hidden behind the obvious: misleading keywords and implicitly abusive language on social media
While social media offers freedom of self-expression, abusive language carry significant negative social impact.
The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset
There is however a gap in the longitudinal study of how sentiment evolved in social media over the years.
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction
Data-driven approaches for modeling human skeletal motion have found various applications in interactive media and social robotics.
Towards generalisable hate speech detection: a review on obstacles and solutions
Hate speech is one type of harmful online content which directly attacks or promotes hate towards a group or an individual member based on their actual or perceived aspects of identity, such as ethnicity, religion, and sexual orientation.
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images
On MitoEM, we find existing instance segmentation methods often fail to correctly segment mitochondria with complex shapes or close contacts with other instances.
Ranked #2 on
3D Instance Segmentation
on MitoEM
(AP75-R-Test metric)
Human-centered collaborative robots with deep reinforcement learning
We present a reinforcement learning based framework for human-centered collaborative systems.
