Author

T. Nguyen

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#computer vision Preprint Aug 2026

STRAND: Benchmarking and Improving Object-Centric Spatio-Temporal Monitoring in Video Large Language Models

STRAND is introduced, a benchmark of human-verified object-centric facts that evaluates intermediate reasoning by decomposing queries into sub-questions, distinguishing genuine temporal understanding from coincidental correctness and an object-centric framework that explicitly constructs and reasons over structured obj...

T. Nguyen, Tri Cao, Khoi M. Le et al. · 0 citations

Preprint Aug 2026

DynaPix: Can Vision-Language Models Identify the Exact Future?

DynaPix (Dynamic Pixels), a benchmark that makes prediction checkable, exposes a temporal-anchoring gap: models attach a prediction to an event far better than to time itself.

T. Nguyen, Vinh-Hien Do, Quynh T. N. Vo et al. · 0 citations

Jul 2026

When Depth Is Better Told Than Shown: Depth-Ordinal Prompting for Vision-Language Spatial Reasoning

This work proposes Depth-Ordinal Prompting (DOP), a training-free method that converts monocular depth into a single question-targeted ordinal text cue at the queried objects, without adding a depth image, training a module, injecting features, or using labels.

Quynh T. N. Vo, Phuc T. Dao, Cong-Duy Nguyen et al. · arXiv.org · 0 citations