Pha A. Nguyen

Orcid: 0000-0003-1517-1382

According to our database1, Pha A. Nguyen authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
React: recognize every action everywhere all at once.
Mach. Vis. Appl., July, 2024

HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos.
Sensors, June, 2024

Multi-camera multi-object tracking on the move via single-stage global association approach.
Pattern Recognit., 2024

DINTR: Tracking via Diffusion-based Interpolation.
CoRR, 2024

CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos.
CoRR, 2024

Z-GMOT: Zero-shot Generic Multiple Object Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos.
CoRR, 2023

UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation.
CoRR, 2023

Z-GMOT: Zero-shot Generic Multiple Object Tracking.
CoRR, 2023

SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition.
CoRR, 2023

Type-to-Track: Retrieve Any Object via Prompt-based Tracking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Depth Perspective-aware Multiple Object Tracking.
CoRR, 2022

Self-Supervised Domain Adaptation in Crowd Counting.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Tracking customers in crowded retail scenes with Siamese Tracker.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020


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