8 papers
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation
An Yang, Chenyu Liu, Jun Du +6
3D Gaussian Splatting (3D-GS) has emerged as an efficient 3D representation and a promising foundation for semantic tasks like segmentation. However, existing 3D-GS-based segmentat…
HDA-SELD: Hierarchical Cross-Modal Distillation with Multi-Level Data Augmentation for Low-Resource Audio-Visual Sound Event Localization and Detection
Qing Wang, Ya Jiang, Hang Chen +3
This work presents HDA-SELD, a unified framework that combines hierarchical cross-modal distillation (HCMD) and multi-level data augmentation to address low-resource audio-visual (…
Improving Anomalous Sound Detection with Attribute-aware Representation from Domain-adaptive Pre-training
Xin Fang, Guirui Zhong, Qing Wang +7
Anomalous Sound Detection (ASD) is often formulated as a machine attribute classification task, a strategy necessitated by the common scenario where only normal data is available f…
READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation
Haotian Wang, Yuzhe Weng, Jun Du +7
The introduction of diffusion models has brought significant advances to the field of audio-driven talking head generation. However, the extremely slow inference speed severely lim…
Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration
Yicheng Pan, Zhenrong Zhang, Pengfei Hu +6
Recent advances in Multimodal Large Language Models (MLLMs) have achieved remarkable progress in general domains and demonstrated promise in multimodal mathematical reasoning. Howe…
MMC: Iterative Refinement of VLM Reasoning via MCTS-based Multimodal Critique
Shuhang Liu, Zhenrong Zhang, Pengfei Hu +7
Visual language models (VLMs) have demonstrated strong performance across diverse multimodal reasoning tasks but still face challenges such as hallucinations, resulting in incorrec…