When interacting with an unfamiliar deformable material, a robot lacks prior knowledge of its physical properties and how it will respond to applied forces and motion. Rapid online identification is therefore essential for reliable manipulation. We present FORM (From Observed Response to Material laws), which identifie...
S. Tretiakov, Rui-Han Zhao, Cheng-Hsi Hsiao et al.· 0 citations
Video understanding benchmarks have long centered on single-camera settings, where modern multi-modal language models achieve strong performance across image and video tasks. Yet, the real world runs on multi-camera networks: autonomous vehicles, security systems, and robots all gather data across many simultaneous vie...
Sahil Shah, S. Sharan, Harsh Goel et al.· 1 citation
Vision-language navigation agents are often evaluated on their ability to follow route-like instructions toward a fixed goal. Yet, real navigation instructions often depend on observed states of the environment: if a condition holds, then follow one path, otherwise take another. Such instructions require an agent to ev...
Seoyoung Lee, N. Bhatt, Pranay Samineni et al.· 0 citations
ModalFidelity, a lightweight router that previews each window and decides, before any forensic detector runs, which stream is worth reading, under a hard compute budget it can never exceed, is presented.
Oğuzhan Başer, Kaan Kale, Sriram Vishwanath et al.· 0 citations
This work proposes a cross-attention-based aggregation method in which the query projections come from the node, while the key projections come from its neighbors, and introduces a novel architecture called AttentionViG that uses the proposed cross-attention aggregation scheme to conduct non-local message passing.
H. Gedik, Andrew Martin, Mustafa Munir et al.· arXiv.org· 2 citations
Chameleon is proposed, a PTQ framework that holds the bit-width fixed and treats the format itself as a discrete variable, chosen per weight channel and per (layer, timestep bucket) activation tensor.
ViewMind3D is presented, a fully training-free and modular framework for 3D spatial reasoning over multi-view observations of a scene without requiring complete 3D reconstruction, which improves performance on spatially grounded question types, such as ``What''questions in SQA3D, while maintaining strong overall accura...
Ping-Kun Chiang, Kun-Ru Wu, Po-han Li et al.· arXiv.org· 0 citations
VSeek is introduced, an agentic framework that transforms long-video question answering (LVQA) from a passive, single-pass perception task into a multi-turn retrieval process and proposes a novel neuro-symbolic approach that bridges open-ended natural language with discrete visual verification.
Harsh Goel, S. Sharan, Sahil Shah et al.· arXiv.org· 1 citation
BayesBeliefAgent is introduced, which pairs a hierarchical LLM planner with a Bayesian tracking module and evaluates performance using replanning efficiency and the belief-action gap: the fraction of total decisions where an agent with a correct partner estimate executes a non-complementary skill.
Harsh Goel, Aditya Sai Ellendula, Vaishnav Tadiparthi et al.· 1 citation
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