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Zi-Chao Zeng

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#machine learning Preprint Aug 2026

Modelling daily activity patterns from mobile phone location data via deep representation learning

Passively collected mobile phone location data provide large-scale, longitudinal observations of human mobility but do not directly reveal activity purposes. The functional characteristics of visited locations offer useful contextual information, yet their relationship with activity purpose remains uncertain, particula...

Xing-Lei Wang, Jun-Yuan Liu, Guang-Sheng Dong et al. · 0 citations
#machine learning Preprint Aug 2026

LE4Mob: Towards Inductive, Distance-Aware and General-Purpose Location Embedding for Human Mobility Modelling

Location representations provide mobility models with fundamental information about the spatial position, functional characteristics, and relationships of places. However, existing embeddings are often dependent on mobility observations, unable to represent unseen locations, and weakly constrained to retain geographic...

Xing-Lei Wang, Stephen Law, Zi-Chao Zeng et al. · 0 citations
Preprint Aug 2026

X$^2$Localizer: Cross-grained Alignment for Progressive Cross-view Video Geo-localization

This work forms Progressive Cross-view Video Geo-localization (PCVG) as a deployment-oriented extension and evaluation protocol of CVG, enabling localization under varying temporal budgets, prefix-based inference, random-start evaluation, and long-range localization with interruptions.

Zi-Chao Zeng, Weijia Fan, Yu-Fan Chen et al. · 0 citations
Open access Jul 2026

AI-Based Camera Pose Estimation on Mixed Aerial and Ground Images: A Comparative Study

A controlled comparison between a classic photogrammetric approach represented by COLMAP and a cross-view fine-tuned end-to-end model based on Dust3R, which achieves substantially higher inlier ratios than photogrammetric pipeline under the same verification settings, indicating more successful cross-view orientation.

Zi-Chao Zeng, June Moh Goo, Jan Boehm · 1 citation

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