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cs.CV2026
Human-AI Divergence in Ego-centric Action Recognition under Spatial and Spatiotemporal Manipulations
Sadegh Rahmaniboldaji, Filip Rybansky, Quoc C. Vuong +3
Humans consistently outperform state-of-the-art AI models in action recognition, particularly in challenging real-world conditions involving low resolution, occlusion, and visual c…
cs.CV2024
DEAR: Depth-Enhanced Action Recognition
Sadegh Rahmaniboldaji, Filip Rybansky, Quoc Vuong +2
Detecting actions in videos, particularly within cluttered scenes, poses significant challenges due to the limitations of 2D frame analysis from a camera perspective. Unlike human…