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03/16/2023
Cross-head Supervision for Crowd Counting with Noisy Annotations
Noisy annotations such as missing annotations and location shifts often ...
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02/27/2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Monitoring and analyzing stereotypical behaviours is important for early...
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10/21/2022
GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition
As a unique biometric that can be perceived at a distance, gait has broa...
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05/06/2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Crowd Counting has important applications in public safety and pandemic ...
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01/13/2022
S^2FPR: Crowd Counting via Self-Supervised Coarse to Fine Feature Pyramid Ranking
Most conventional crowd counting methods utilize a fully-supervised lear...
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04/10/2020