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cs.CV2026
Putting Registers to Work: Task Registers for Token Pruning in Vision Transformers
Hongsen Cao, Mona Jaber, Shanxin Yuan +1
Token-pruning policies are usually designed for a single recognition pipeline, but pretrained Vision Transformers are reused across tasks with different spatial demands. We ask whi…
cs.CV2024
A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction
Chia-Yen Chiang, Yasmin Fathy, Gregory Slabaugh +1
Walking as a form of active travel is essential in promoting sustainable transport. It is thus crucial to accurately predict pedestrian crossing intention and avoid collisions, esp…