216 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Northwestern Polytechnical UniversityCN4 papers
- University of Chinese Academy of SciencesCN3 papers
- Chinese Academy of SciencesCN2 papers
- Chinese University of Hong KongHK2 papers
- Institute of AutomationCN2 papers
- Institute of Information EngineeringCN2 papers
- ShanghaiTech UniversityCN2 papers
- Beijing Friendship HospitalCN1 paper
- Beijing University of TechnologyCN1 paper
- Capital Medical UniversityCN1 paper
- Carnegie Mellon UniversityUS1 paper
- Fudan UniversityCN1 paper
5 papers · 1 filter
Efficient Extraction of Noise-Robust Discrete Units from Self-Supervised Speech Models
Jakob Poncelet, Yujun Wang, Hugo Van hamme
Continuous speech can be converted into a discrete sequence by deriving discrete units from the hidden features of self-supervised learned (SSL) speech models. Although SSL models…
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding
Heqing Zou, Tianze Luo, Guiyang Xie +8
The integration of Large Language Models (LLMs) with visual encoders has recently shown promising performance in visual understanding tasks, leveraging their inherent capability to…
SliceMamba with Neural Architecture Search for Medical Image Segmentation
Chao Fan, Hongyuan Yu, Yan Huang +3
Despite the progress made in Mamba-based medical image segmentation models, existing methods utilizing unidirectional or multi-directional feature scanning mechanisms struggle to e…
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer
Jinpeng Yu, Binbin Huang, Yuxuan Zhang +3
Point cloud completion aims to recover accurate global geometry and preserve fine-grained local details from partial point clouds. Conventional methods typically predict unseen poi…
HyCTAS: Multi-Objective Hybrid Convolution-Transformer Architecture Search for Real-Time Image Segmentation
Hongyuan Yu, Cheng Wan, Xiyang Dai +6
Real-time image segmentation demands architectures that preserve fine spatial detail while capturing global context under tight latency and memory budgets. Image segmentation is on…