3 papers
cs.CV2024
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models
Kent Fujiwara, Mikihiro Tanaka, Qing Yu
With the release of large-scale motion datasets with textual annotations, the task of establishing a robust latent space for language and 3D human motion has recently witnessed a s…
cs.CV2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
Qing Yu, Mikihiro Tanaka, Kent Fujiwara
To build a cross-modal latent space between 3D human motion and language, acquiring large-scale and high-quality human motion data is crucial. However, unlike the abundance of imag…
cs.CV2023
Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track
Shuhei Yokoo, Peifei Zhu, Yuchi Ishikawa +3
Large web crawl datasets have already played an important role in learning multimodal features with high generalization capabilities. However, there are still very limited studies…