Luca Bertinetto

1. Fully-Convolutional Siamese Networks for Object Tracking
   2016/06/30 by Luca Bertinetto, Bertinetto, Luca, Jack Valmadre +7 · 26 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Video Surveillance and Tracking Methods
2. Meta-learning with differentiable closed-form solvers
   2018/05/21 by Luca Bertinetto, João F. Henriques, Bertinetto, Luca +5 · 16 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Multimodal Machine Learning Applications
3. Do Different Tracking Tasks Require Different Appearance Models?
   2021/07/05 by Zhongdao Wang, Hengshuang Zhao, Wang, Zhongdao +9 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face recognition and analysis #Video Surveillance and Tracking Methods
4. Long-term Tracking in the Wild: A Benchmark
   2018/03/26 by Jack Valmadre, Valmadre, Jack, Luca Bertinetto +13 · 5 citations
   Computer Science · #Video Surveillance and Tracking Methods #Visual Attention and Saliency Detection #Image Enhancement Techniques
5. Anchor Diffusion for Unsupervised Video Object Segmentation
   2019/10/24 by Zhao Yang, Yang, Zhao, Qiang Wang +9 · 4 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Visual Attention and Saliency Detection
6. On Episodes, Prototypical Networks, and Few-shot Learning
   2020/12/17 by Steinar Laenen, Luca Bertinetto, Laenen, Steinar +1 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM