3 citations · 3 across the 6 of their papers we have counts for
7 papers
RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection
Junxin Lu, Jing Zhao, Shiliang Sun
Graph anomaly detection aims to identify nodes that deviate from normal behavioral patterns within graphs. However, existing methods largely rely on the homophily assumption, which…
S-VLA: State-Space Guided Vision-Language-Action Models for Long-Horizon Manipulation
Zhipeng Xie, Zongyi Han, Xiangyi Wei +3
Vision-Language-Action (VLA) models have demonstrated strong capabilities in robotic manipulation, but their performance degrades significantly in long-horizon tasks due to cumulat…
Global-Local Dual Perception for MLLMs in High-Resolution Text-Rich Image Translation
Junxin Lu, Tengfei Song, Zhanglin Wu +9
Text Image Machine Translation (TIMT) aims to translate text embedded in images in the source-language into target-language, requiring synergistic integration of visual perception…
LEMON: How Well Do MLLMs Perform Temporal Multimodal Understanding on Instructional Videos?
Zhuang Yu, Lei Shen, Jing Zhao +1
Recent multimodal large language models (MLLMs) have shown remarkable progress across vision, audio, and language tasks, yet their performance on long-form, knowledge-intensive, an…
Multimodal Machine Translation with Visual Scene Graph Pruning
Chenyu Lu, Shiliang Sun, Jing Zhao +3
Multimodal machine translation (MMT) seeks to address the challenges posed by linguistic polysemy and ambiguity in translation tasks by incorporating visual information. A key bott…
Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation
Zhuang Yu, Shiliang Sun, Jing Zhao +2
Multimodal Machine Translation (MMT) aims to improve translation quality by leveraging auxiliary modalities such as images alongside textual input. While recent advances in large-s…
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
Zhe Zhao, Yudong Li, Cheng Hou +23
Recently, the success of pre-training in text domain has been fully extended to vision, audio, and cross-modal scenarios. The proposed pre-training models of different modalities a…