Summary of Handsonvlm: Vision-language Models For Hand-object Interaction Prediction, by Chen Bao et al.
HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction
by Chen Bao, Jiarui Xu, Xiaolong Wang, Abhinav Gupta, Homanga Bharadhwaj
First submitted to arxiv on: 17 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed paper extends the classic hand trajectory prediction task to two new tasks that require understanding of human daily activities and reasoning abilities. The tasks, Vanilla Hand Prediction (VHP) and Reasoning-Based Hand Prediction (RBHP), involve explicit or implicit language queries that necessitate the integration of high-level world knowledge and reasoning capabilities with low-level ego-centric hand trajectories. To tackle these tasks, the paper introduces HandsOnVLM, a novel Vision-Language Model that can generate textual responses and produce future hand trajectories through natural-language conversations. The model outperforms existing task-specific methods and VLM baselines on proposed tasks, demonstrating its ability to utilize world knowledge for reasoning about human hand trajectories. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers have developed a new way to predict where people’s hands will move in a scene based on what they are doing. They created two new challenges that require understanding of everyday activities and being able to reason about what should happen next. The team also created new benchmarks to test their methods. Their model, HandsOnVLM, is special because it can generate text and predict hand movements by having conversations with people. This model performs better than other approaches on these tasks and shows that it can use general knowledge to make good predictions. |
Keywords
» Artificial intelligence » Language model
