74 citations · 80 across the 6 of their papers we have counts for
7 papers
Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven Media
Zihan Ding, Xinyi Wang, Junlong Chen +2
Creators struggle to edit long-form, narrative-rich videos not because of UI complexity, but due to the cognitive demands of searching, storyboarding, and sequencing hours of foota…
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He, Weizhe Lin, Hao Zheng +7
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 increasingl…
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Junxiao Shen, John J. Dudley, Jingyao Zheng +2
Text entry is an essential task in our day-to-day digital interactions. Numerous intelligent features have been developed to streamline this process, making text entry more effecti…
Encode-Store-Retrieve: Augmenting Human Memory through Language-Encoded Egocentric Perception
Junxiao Shen, John Dudley, Per Ola Kristensson
We depend on our own memory to encode, store, and retrieve our experiences. However, memory lapses can occur. One promising avenue for achieving memory augmentation is through the…
XAIR: A Framework of Explainable AI in Augmented Reality
Xuhai Xu, Mengjie Yu, Tanya R. Jonker +15
Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the rol…
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
Hang Ren, Aivar Sootla, Taher Jafferjee +3
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 (disconti…
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition
Junxiao Shen, John Dudley, Per Ola Kristensson
Deep learning approaches deliver state-of-the-art performance in recognition of spatiotemporal human motion data. However, one of the main challenges in these recognition tasks is…