From the 1 of 1.9k papers with an AI index.
1k citations
- Peking UniversityCN608 papers
- Tsinghua UniversityCN476 papers
- Carnegie Mellon UniversityUS417 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT405 papers
- University of Science and Technology of ChinaCN405 papers
- University of Chinese Academy of SciencesCN377 papers
- Institute of Modern PhysicsCN374 papers
- Institute of High Energy PhysicsCN362 papers
- Zhejiang UniversityCN362 papers
- University of TurinIT361 papers
- University of PerugiaIT356 papers
- Università degli Studi del Piemonte Orientale “Amedeo Avogadro”IT351 papers
10 papers · 2 filters
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
Zhiqian Lin, Jiangke Lin, Lincheng Li +2
Recent works based on convolutional encoder-decoder architecture and 3DMM parameterization have shown great potential for canonical view reconstruction from a single input image. C…
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception
Xianghao Kong, Wentao Jiang, Jinrang Jia +3
Vehicle-to-Everything (V2X) collaborative perception is crucial for autonomous driving. However, achieving high-precision V2X perception requires a significant amount of annotated…
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory
Danpei Zhao, Bo Yuan, Zhenwei Shi
As a front-burner problem in incremental learning, class incremental semantic segmentation (CISS) is plagued by catastrophic forgetting and semantic drift. Although recent methods…
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
Zhiyun Song, Penghui Du, Junpeng Yan +5
Self-supervised pretraining attempts to enhance model performance by obtaining effective features from unlabeled data, and has demonstrated its effectiveness in the field of histop…
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction
Jiankai Li, Yunhong Wang, Weixin Li
Scene Graph Generation (SGG) plays a pivotal role in downstream vision-language tasks. Existing SGG methods typically suffer from poor compositional generalizations on unseen tripl…
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation
Yang Zhou, Yongjian Wu, Zihua Wang +5
Nuclei instance segmentation on histopathology images is of great clinical value for disease analysis. Generally, fully-supervised algorithms for this task require pixel-wise manua…