Abstract: This paper focuses on the fault-tolerant consensus problem of multi-agent systems under an encoding-decoding framework with Markovian switching topologies. Due to the influence of complex ...
Abstract: Recent transformer-based methods achieve notable gains in the Human-object Interaction Detection (HOID) task by leveraging the detection of DETR and the prior knowledge of Vision-Language ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs), yet its application to vision-language models (VLMs) remains underexplored, with existing ...
The original version of this story appeared in Quanta Magazine. Among the myriad abilities that humans possess, which ones are uniquely human? Language has been a top candidate at least since ...
A recent study reveals that reduced blinking in noisy environments might signify greater cognitive effort needed to process speech, offering new insights into the subtle cues of mental engagement.
Across the three sites of Tone in Tongue: Otis College of Art and Design in Los Angeles, the Shanghai Research Institute of Printing Technology in Shanghai, and the Maryland Institute College of Art ...
The spatial and temporal differences influence the development of vertebrate teeth in specific cell types, as well as the precise regulation of signalling networks. During early embryogenesis, the ...
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