Activity

[ICLR23] Understanding Embodied Reference with Touch-Line Transformer
We study embodied reference understanding, the task of locating referents using embodied gestural signals and language references. …
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[ICLR23] Understanding Embodied Reference with Touch-Line Transformer
[ICCV21] YouRefIt: Embodied Reference Understanding with Language and Gesture
We study the machine’s understanding of embodied reference: One agent uses both language and gesture to refer to an object to …
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[ICCV21] YouRefIt: Embodied Reference Understanding with Language and Gesture
[ECCV20] LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
Understanding and interpreting human actions is a long-standing challenge and a critical indicator of perception in artificial …
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[ECCV20] LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
[ICRA20] Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs
Aiming to understand how human (false-)belief—a core socio-cognitive ability—would affect human interactions with robots, …
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[ICRA20] Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs