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of 81
pro vyhledávání: '"Liu, Rex"'
With the exponential growth of multimedia data, leveraging multimodal sensors presents a promising approach for improving accuracy in human activity recognition. Nevertheless, accurately identifying these activities using both video data and wearable
Externí odkaz:
http://arxiv.org/abs/2408.04243
Currently, over a thousand LLMs exist that are multi-purpose and are capable of performing real world tasks, including Q&A, text summarization, content generation, etc. However, accessibility, scale and reliability of free models prevents them from b
Externí odkaz:
http://arxiv.org/abs/2310.19902
Autor:
Govindarajan, Lakshmi Narasimhan, Liu, Rex G, Linsley, Drew, Ashok, Alekh Karkada, Reuter, Max, Frank, Michael J, Serre, Thomas
Humans learn by interacting with their environments and perceiving the outcomes of their actions. A landmark in artificial intelligence has been the development of deep reinforcement learning (dRL) algorithms capable of doing the same in video games,
Externí odkaz:
http://arxiv.org/abs/2309.13181
We propose MASTAF, a Model-Agnostic Spatio-Temporal Attention Fusion network for few-shot video classification. MASTAF takes input from a general video spatial and temporal representation,e.g., using 2D CNN, 3D CNN, and Video Transformer. Then, to ma
Externí odkaz:
http://arxiv.org/abs/2112.04585
With the development of the Internet of Things(IoT) and Artificial Intelligence(AI) technologies, human activity recognition has enabled various applications, such as smart homes and assisted living. In this paper, we target a new healthcare applicat
Externí odkaz:
http://arxiv.org/abs/2106.15017
Autor:
Ramli, Albara Ah, Liu, Xin, Berndt, Kelly, Goude, Erica, Hou, Jiahui, Kaethler, Lynea B., Liu, Rex, Lopez, Amanda, Nicorici, Alina, Owens, Corey, Rodriguez, David, Wang, Jane, Zhang, Huanle, Aranki, Daniel, McDonald, Craig M., Henricson, Erik K.
Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and typically-developing (TD) peers are visible to the eye, but quantifications of those differences outside of the gait laboratory have been elusive. In this work, we me
Externí odkaz:
http://arxiv.org/abs/2105.06295
With the rapid development of the internet of things (IoT) and artificial intelligence (AI) technologies, human activity recognition (HAR) has been applied in a variety of domains such as security and surveillance, human-robot interaction, and entert
Externí odkaz:
http://arxiv.org/abs/2103.15990
Autor:
Ramli, Albara Ah, Liu, Rex, Krishnamoorthy, Rahul, B, Vishal I, Wang, Xiaoxiao, Tagkopoulos, Ilias, Liu, Xin
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease of the brain and the spinal cord, which leads to paralysis of motor functions. Patients retain their ability to blink, which can be used for communication. Here, We presen
Externí odkaz:
http://arxiv.org/abs/2006.01232
Autor:
Linsley, Drew, Ashok, Alekh Karkada, Govindarajan, Lakshmi Narasimhan, Liu, Rex, Serre, Thomas
Primate vision depends on recurrent processing for reliable perception. A growing body of literature also suggests that recurrent connections improve the learning efficiency and generalization of vision models on classic computer vision challenges. W
Externí odkaz:
http://arxiv.org/abs/2005.11362
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