4 citations · 4 across the 7 of their papers we have counts for
9 papers
UST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimation
Tianhao Han, Haoyang Zhang, Liang Xie +5
Manually annotating accurate 3D hand poses is extremely time-consuming and labor-intensive. Existing self-supervised hand pose estimation methods leverage the discrepancy between i…
Event-Causal RAG: A Retrieval-Augmented Generation Framework for Long Video Reasoning in Complex Scenarios
Peizheng Yan, Yu Zhao, Liang Xie +3
Large vision-language models perform well on short- and medium-length video understanding but still struggle to maintain coherent event memory and recover long-range relationships…
Purification Before Fusion: Toward Mask-Free Speech Enhancement for Robust Audio-Visual Speech Recognition
Linzhi Wu, Xingyu Zhang, Hao Yuan +5
Audio-visual speech recognition (AVSR) typically improves recognition accuracy in noisy environments by integrating noise-immune visual cues with audio signals. Nevertheless, high-…
Locomotion in CAVE: Enhancing Immersion through Full-Body Motion
Xiaohui Li, Xiaolong Liu, Zhongchen Shi +6
Cave Automatic Virtual Environment (CAVE) is one of the virtual reality (VR) immersive devices currently used to present virtual environments. However, the locomotion methods in th…
AFD-SLU: Adaptive Feature Distillation for Spoken Language Understanding
Yan Xie, Yibo Cui, Liang Xie +1
Spoken Language Understanding (SLU) is a core component of conversational systems, enabling machines to interpret user utterances. Despite its importance, developing effective SLU…
Generating Vision-Language Navigation Instructions Incorporated Fine-Grained Alignment Annotations
Yibo Cui, Liang Xie, Yu Zhao +2
Vision-Language Navigation (VLN) enables intelligent agents to navigate environments by integrating visual perception and natural language instructions, yet faces significant chall…
ST-Booster: An Iterative SpatioTemporal Perception Booster for Vision-and-Language Navigation in Continuous Environments
Lu Yue, Dongliang Zhou, Liang Xie +2
Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires agents to navigate unknown, continuous spaces based on natural language instructions. Compared to discre…
LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition
Bowen Hao, Dongliang Zhou, Xiaojie Li +4
Visual speech recognition (VSR), commonly known as lip reading, has garnered significant attention due to its wide-ranging practical applications. The advent of deep learning techn…
AVE Speech: A Comprehensive Multi-Modal Dataset for Speech Recognition Integrating Audio, Visual, and Electromyographic Signals
Dongliang Zhou, Yakun Zhang, Jinghan Wu +3
The global aging population faces considerable challenges, particularly in communication, due to the prevalence of hearing and speech impairments. To address these, we introduce th…