Hao Vo

Researcher

University of Arkansas

Also affiliated: Ho Chi Minh City University of Technology (2023)

Faculty Researcher

1 h-index 17 pubs 3 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Hao Vo's research centers on advancements in computer vision and machine learning, with a particular focus on object-centric video representation and autonomous driving applications. His recent publications explore methods for tracking multiple objects in video, such as the BroilerTrack system, and novel attention mechanisms like Temporal Slot Activation (TSA) and Dual-State Slot Attention for persistent object-centric learning. Vo has also contributed to benchmarks for spatiotemporal intelligence in autonomous driving contexts, exemplified by the DRIVESPATIAL benchmark, and investigates semantic-guided expert distillation for 3D object detection in camera-only systems (SemLT3D).

His work involves collaborations with researchers at the University of Arkansas at Fayetteville, including Tran-Dac-Thinh Phan, Duy Lê, Ian Phillips, and Andrew Lockett, with whom he has co-authored multiple publications. Vo's research output includes 17 publications and has garnered 3 citations, with an h-index of 1. He remains actively engaged in research, with recent publications dating to 2026.

Metrics

h-index: 1
Publications: 17
Citations: 3

Selected Publications

ARGUSTRACK: A Multi-View Annotation System for Multi-Object Tracking (2026)

arXiv (Cornell University) OpenAlex
DeepBroilerTrack: End-to-end automatic tracking of multiple broilers using multiple cameras (2026)

Smart Agricultural Technology DOI OpenAlex
BroilerTrack: Automatic multi-camera multi-broiler tracking (2025)

Smart Agricultural Technology 3 citations DOI OpenAlex