1 citations · 1 across the 7 of their papers we have counts for
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AGQ: Action-Guided Ultra-Low-Bit Quantization for Vision-Language-Action Models
Xuhong Qiu, Zhuoyu Wu, Qiawei Zheng +3
Vision-language-action (VLA) models enable robots to perform tasks specified through natural-language instructions, but their large weight footprint challenges deployment on memory…
AU-Guided Synthetic Video Generation for Micro-Expression Recognition
Pei-Sze Tan, Sailaja Rajanala, Yee-Fan Tan +2
Micro-expression recognition is limited by the small scale, narrow demographic coverage, and restricted emotion labels of existing datasets. We introduce EquiME, a synthetic micro-…
Causal-Ex: Causal Graph-based Micro and Macro Expression Spotting
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal +2
Detecting concealed emotions within apparently normal expressions is crucial for identifying potential mental health issues and facilitating timely support and intervention. The ta…