3 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
Damiano Marsili, Georgia Gkioxari
Visual reasoning is challenging, requiring both precise object grounding and understanding complex spatial relationships. Existing methods fall into two camps: language-only chain-…
Same or Not? Enhancing Visual Perception in Vision-Language Models
Damiano Marsili, Aditya Mehta, Ryan Y. Lin +1
Vision-language models (VLMs) excel at broad visual understanding but remain coarse-grained, exhibit visual biases, and miss subtle visual details. Existing training corpora reinfo…
Visual Agentic AI for Spatial Reasoning with a Dynamic API
Damiano Marsili, Rohun Agrawal, Yisong Yue +1
Visual reasoning -- the ability to interpret the visual world -- is crucial for embodied agents that operate within three-dimensional scenes. Progress in AI has led to vision and l…
Find Any Part in 3D
Ziqi Ma, Yisong Yue, Georgia Gkioxari
Why don't we have foundation models in 3D yet? A key limitation is data scarcity. For 3D object part segmentation, existing datasets are small in size and lack diversity. We show t…