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Found 6 papers, 1 papers with code
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at.
The WILDTRACK Multi-Camera Person Dataset
People detection methods are highly sensitive to the perpetual occlusions among the targets.
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
People detection in single 2D images has improved greatly in recent years.
Ranked #8 on
Multiview Detection
on MultiviewX
Multi-Modal Mean-Fields via Cardinality-Based Clamping
Mean Field inference is central to statistical physics.
Principled Parallel Mean-Field Inference for Discrete Random Fields
Mean-field variational inference is one of the most popular approaches to inference in discrete random fields.
A provably convergent alternating minimization method for mean field inference
Mean-Field is an efficient way to approximate a posterior distribution in complex graphical models and constitutes the most popular class of Bayesian variational approximation methods.
