Modeling Noisy Annotations for Point-Wise Supervision

Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain

Crowd Counting in the Frequency Domain

Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting

A Generalized Loss Function for Crowd Counting and Localization

Progressive Unsupervised Learning for Visual Object Tracking

Fine-Grained Crowd Counting

Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition

Modeling Noisy Annotations for Crowd Counting

Kernel-based Density Map Generation for Dense Object Counting

On Diversity in Image Captioning: Metrics and Methods

Adaptive Density Map Generation for Crowd Counting

Residual Regression with Semantic Prior for Crowd Counting

Weakly-Supervised Scene-Specific Crowd Counting Using Real-Synthetic Hybrid Data

Hierarchical Feature Selection for Random Projection

Robust Hierarchical Deep Learning for Vehicular Management

Deep Metric Learning for Crowdedness Regression

Locality Constraint Distance Metric Learning for Traffic Congestion Detection

Traffic Congestion Analysis: A New Perspective

Congested Scene Classification via Efficient Unsupervised Feature Learning and Density Estimation