Rui Dai
Orcid: 0000-0002-3698-4086Affiliations:
- Côte d'Azur University, Nice, France
According to our database1,
Rui Dai
authored at least 18 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection.
Comput. Vis. Image Underst., 2024
OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Action Detection for Untrimmed Videos based on Deep Neural Networks. (Détection d'Action pour les Vidéos par les Réseaux de Neurones Profonds).
PhD thesis, 2022
VPN++: Rethinking Video-Pose Embeddings for Understanding Activities of Daily Living.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Self-Attention Temporal Convolutional Network for Long-Term Daily Living Activity Detection.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019