26 citations · 100 across the 23 of their papers we have counts for
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cs.CV2023
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal +2
While VideoQA Transformer models demonstrate competitive performance on standard benchmarks, the reasons behind their success are not fully understood. Do these models capture the…
cs.CV2023
Read My Mind: A Multi-Modal Dataset for Human Belief Prediction
Jiafei Duan, Samson Yu, Nicholas Tan +2
Understanding human intentions is key to enabling effective and efficient human-robot interaction (HRI) in collaborative settings. To enable developments and evaluation of the abil…