24 citations · 36 across the 9 of their papers we have counts for
9 papers
DBMIF: a deep balanced multimodal iterative fusion framework for air- and bone-conduction speech enhancement
Yilei Wu, Changyan Zheng, Xingyu Zhang +5
The performance of conventional speech enhancement systems degrades sharply in extremely low signal-to-noise ratio (SNR) environments where air-conduction (AC) microphones are over…
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…
DECAN: A Denoising Encoder via Contrastive Alignment Network for Dry Electrode EEG Emotion Recognition
Meihong Zhang, Shaokai Zhao, Shuai Wang +6
EEG signal is important for brain-computer interfaces (BCI). Nevertheless, existing dry and wet electrodes are difficult to balance between high signal-to-noise ratio and portabili…
Landmark-Guided Cross-Speaker Lip Reading with Mutual Information Regularization
Linzhi Wu, Xingyu Zhang, Yakun Zhang +5
Lip reading, the process of interpreting silent speech from visual lip movements, has gained rising attention for its wide range of realistic applications. Deep learning approaches…
HDA-LVIO: A High-Precision LiDAR-Visual-Inertial Odometry in Urban Environments with Hybrid Data Association
Jian Shi, Wei Wang, Mingyang Qi +2
To enhance localization accuracy in urban environments, an innovative LiDAR-Visual-Inertial odometry, named HDA-LVIO, is proposed by employing hybrid data association. The proposed…
Safe-VLN: Collision Avoidance for Vision-and-Language Navigation of Autonomous Robots Operating in Continuous Environments
Lu Yue, Dongliang Zhou, Liang Xie +3
The task of vision-and-language navigation in continuous environments (VLN-CE) aims at training an autonomous agent to perform low-level actions to navigate through 3D continuous s…
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…