24 citations · 36 across the 8 of their papers we have counts for
5 papers · 1 filter
A Geometry-Driven, Framework-Agnostic Optimization for Object Pose Estimation
Wei Chen, Tao Zhen, Zhongchen Shi +3
Current object pose estimation research remains predominantly model-centric, focusing on architectural innovations and post-processing refinements. This paper introduces a data-cen…
MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological Fusion
Chuang Ma, Yu Pei, Jianhang Zhang +5
Micro-expressions (MEs) are subtle, fleeting nonverbal cues that reveal an individual's genuine emotional state. Their analysis has attracted considerable interest due to its promi…
MPFNet: A Multi-Prior Fusion Network with a Progressive Training Strategy for Micro-Expression Recognition
Chuang Ma, Shaokai Zhao, Dongdong Zhou +5
Micro-expression recognition (MER), a critical subfield of affective computing, presents greater challenges than macro-expression recognition due to its brief duration and low inte…
PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation
Sen Wang, Dongliang Zhou, Liang Xie +3
Vision-and-language navigation (VLN) tasks require agents to navigate three-dimensional environments guided by natural language instructions, offering substantial potential for div…
Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation
Yibo Cui, Liang Xie, Yakun Zhang +3
Cross-modal alignment is one key challenge for Vision-and-Language Navigation (VLN). Most existing studies concentrate on mapping the global instruction or single sub-instruction t…