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Found 14 papers, 2 papers with code
Duo Streamers: A Streaming Gesture Recognition Framework
Gesture recognition in resource-constrained scenarios faces significant challenges in achieving high accuracy and low latency.
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding
Leveraging the advanced text processing capabilities of large language models (LLMs), X-LeBench develops a life-logging simulation pipeline that produces realistic, coherent daily plans aligned with real-world video data.
CULTURE3D: Cultural Landmarks and Terrain Dataset for 3D Applications
The dataset enables seamless integration with multi-modal data, supporting a range of 3D applications, from architectural reconstruction to virtual tourism.
Lucia: A Temporal Computing Platform for Contextual Intelligence
The rapid evolution of artificial intelligence, especially through multi-modal large language models, has redefined user interactions, enabling responses that are contextually rich and human-like.
Human-inspired Perspectives: A Survey on AI Long-term Memory
With the rapid advancement of AI systems, their abilities to store, retrieve, and utilize information over the long term - referred to as long-term memory - have become increasingly significant.
RingGesture: A Ring-Based Mid-Air Gesture Typing System Powered by a Deep-Learning Word Prediction Framework
Secondly, we highlight the superior performance of the Score Fusion framework, which offers a 28. 2% improvement in uncorrected Character Error Rate over a conventional word prediction framework, Naive Correction, leading to a 55. 2% improvement in text entry speed for RingGesture.
Gesture2Text: A Generalizable Decoder for Word-Gesture Keyboards in XR Through Trajectory Coarse Discretization and Pre-training
However, these methods are susceptible to decoding inaccuracies for noisy trajectories.
Towards Open-World Gesture Recognition
Unfortunately, in real-world applications involving gesture recognition, such as gesture recognition based on wrist-worn devices, the data distribution may change over time.
Boosting Gesture Recognition with an Automatic Gesture Annotation Framework
We believe that this annotation framework has immense potential to improve the training of downstream gesture recognition models using unlabeled datasets.
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
However, the task of prompting large language models to specialize in specific text prediction tasks can be challenging, particularly for designers without expertise in prompt engineering.
Encode-Store-Retrieve: Augmenting Human Memory through Language-Encoded Egocentric Perception
To address these challenges, we propose a memory augmentation agent that involves leveraging natural language encoding for video data and storing them in a vector database.
XAIR: A Framework of Explainable AI in Augmented Reality
The framework was based on a multi-disciplinary literature review of XAI and HCI research, a large-scale survey probing 500+ end-users' preferences for AR-based explanations, and three workshops with 12 experts collecting their insights about XAI design in AR.
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
We consider a context-dependent Reinforcement Learning (RL) setting, which is characterized by: a) an unknown finite number of not directly observable contexts; b) abrupt (discontinuous) context changes occurring during an episode; and c) Markovian context evolution.
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition
Insufficient training data results in over-fitting and data augmentation is one approach to address this challenge.
