Ishay Be’ery
A5023883008- Video Analysis and Summarization
- Machine Learning and Algorithms
- Algorithms and Data Compression
- Error Correcting Code Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Autonomous Vehicle Technology and Safety
- Anomaly Detection Techniques and Applications
- Sports Analytics and Performance
Tel Aviv University
2019
High quality data is essential in deep learning to train a robust model. While other fields sparse and costly collect, error decoding it free query label thus allowing potential exploitation. Utilizing this fact inspired by active learning, two novel methods are introduced improve Weighted Belief Propagation (WBP) decoding. These incorporate machine-learning concepts with measures. For BCH(63,36), (63,45) (127,64) codes, cycle-reduced parity-check matrices, improvement of up 0.4dB at the...
The SoccerNet 2023 tracking challenge requires the detection and of soccer players ball. In this work, we present our approach to tackle these tasks separately. We employ a state-of-the-art online multi-object tracker contemporary object detector for player tracking. To overcome limitations approach, incorporate post-processing stage using interpolation appearance-free track merging. Additionally, an appearance-based merging technique is used handle termination creation tracks far from image...
High quality data is essential in deep learning to train a robust model. While other fields sparse and costly collect, error decoding it free query label thus allowing potential exploitation. Utilizing this fact inspired by active learning, two novel methods are introduced improve Weighted Belief Propagation (WBP) decoding. These incorporate machine-learning concepts with measures. For BCH(63,36), (63,45) (127,64) codes, cycle-reduced parity-check matrices, improvement of up 0.4dB at the...
The SoccerNet 2023 challenges were the third annual video understanding organized by team. For this edition, composed of seven vision-based tasks split into three main themes. first theme, broadcast understanding, is high-level related to describing events occurring in broadcasts: (1) action spotting, focusing on retrieving all timestamps global actions soccer, (2) ball soccer change state, and (3) dense captioning, with natural language anchored timestamps. second field relates single task...