Luca Bertinetto

Learning multiple visual domains with residual adapters

Learning to Model the Tail

Optimization as a Model for Few-Shot Learning

Imitation networks: Few-shot learning of neural networks from scratch

Improved anti-occlusion object tracking algorithm using Unscented Rauch-Tung-Striebel smoother and kernel correlation filter

Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey

A Robust Parallel Object Tracking Method for Illumination Variations

GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

High-Performance Discriminative Tracking with Transformers

Deep visual domain adaptation: A survey

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Knowledge Distillation: A Survey

Fall prediction based on key points of human bones

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Introduction of Key Problems in Long-Distance Learning and Training

Overview and methods of correlation filter algorithms in object tracking

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

MixFormer: End-to-End Tracking with Iterative Mixed Attention

Double-Channel Object Tracking With Position Deviation Suppression

Learning feed-forward one-shot learners

End-to-end representation learning for Correlation Filter based tracking