ICCV – BIGAI:Beijing Institute for General Artificial Intelligence

UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning

ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes

IntentQA: Context-aware Video Intent Reasoning

Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

Full-Body Articulated Human-Object Interaction

X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events

3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment

YouRefIt: Embodied Reference Understanding with Language and Gesture

Download Abstract: We study the machine’s understanding of embodied reference: One agent uses both language and gesture to refer to an object to another agent in a shared physical environment. Of note, this new visual task requires understanding multimodal cues with perspective-taking to identify which object is being referred to. To tackle this problem, we …

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VLGrammar: Grounded Grammar Induction of Vision and Language

Download Abstract: Cognitive grammar suggests that the acquisition of language grammar is grounded within visual structures. While grammar is an essential representation of natural language, it also exists ubiquitously in vision to represent the hierarchical part-whole structure. In this work, we study grounded grammar induction of vision and language in a joint learning framework. Specifically, …

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