From the 2 of 101 papers with an AI index.
42 citations
- Fudan UniversityCN10 papers
- National University of SingaporeSG5 papers
- Shanghai Jiao Tong UniversityCN5 papers
- The University of TokyoJP5 papers
- Georgia Institute of TechnologyUS4 papers
- Hong Kong University of Science and TechnologyHK4 papers
- Institute of Modern PhysicsCN4 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP4 papers
- Leibniz University HannoverDE4 papers
- Nanyang Technological UniversitySG4 papers
- Peking UniversityCN4 papers
- Tsinghua UniversityCN4 papers
10 papers · 1 filter
Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys
Zeyu Xia, Kan Ma, Sibo Cheng +7
The performance of advanced materials for extreme environments is underpinned by their microstructure, including the size and distribution of reinforcing phases. Chromium-based sup…
STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
Hongli Liu, Yu Wang, Shengjie Zhao
Few-shot action recognition (FSAR) requires models to generalize to novel action categories from only a handful of annotated samples. Despite progress with vision-language models,…
SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation
Songlin Du, Xiaoyong Lu, Yaping Yan +3
Local feature matching plays a critical role in understanding the correspondence between cross-view images. However, traditional methods are constrained by the inherent local natur…
GS3LAM: Gaussian Semantic Splatting SLAM
Linfei Li, Lin Zhang, Zhong Wang +1
Recently, the multi-modal fusion of RGB, depth, and semantics has shown great potential in dense Simultaneous Localization and Mapping (SLAM). However, a prerequisite for generatin…
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
Wenbo Huang, Jinghui Zhang, Xuwei Qian +3
High frame-rate (HFR) videos of action recognition improve fine-grained expression while reducing the spatio-temporal relation and motion information density. Thus, large amounts o…
EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding
Kai Zou, Hongbo Liu, Dian Zheng +3
In this work, we present EchoGen, a unified framework for layout-to-image generation and image grounding, capable of generating images with accurate layouts and high fidelity to te…