PiVoT: A Variational Solution for Real-time Large-scale Multi-object Detection and Tracking under Heavy Clutter

arXiv:2607.13891 · cs.LG, cs.CV, eess.SP, stat.ML · Submitted 2026-07-15 · Read on arXiv

Runze Gan, Qing Li, Simon J. Godsill, Mike E. Davies, James R. Hopgood

cs.LG, cs.CV, eess.SP, stat.ML

Submitted: 2026-07-15

Project page: https://runzegan.github.io/projects/pivot

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 14× in this paper · explained in 2 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Point Clouds — 11× in this paper · explained in 2 episodes
• Pruning — 8× in this paper · explained in 4 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Core — 4× in this paper · explained in 2 episodes
• Monotonicity — 4× in this paper · explained in 2 episodes
• Bayesian Inference — 2× in this paper · explained in 5 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Linear Complexity — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Variational Bayes — 2× in this paper · explained in 2 episodes
• Absorb — 1× in this paper · explained in 1 episode
• Admissibility — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fixed Point — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Hysteresis — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Training-Free Framework — 1× in this paper · explained in 2 episodes
• Two-Stage Framework — 1× in this paper · explained in 2 episodes

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