EgoSound is a new benchmark with 7315 QA pairs across seven tasks to evaluate egocentric sound understanding in multimodal large language models.
Egonight: Towards egocentric vision understanding at night with a challenging benchmark
5 Pith papers cite this work. Polarity classification is still indexing.
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FocusDepth is a prompt-conditioned framework that fuses SAM3 features into Depth Anything models via Multi-Scale Spatial-Aligned Fusion to improve target-region depth accuracy on the new FDE-Bench.
ATBench is a new trajectory-level benchmark with 1,000 diverse and realistic scenarios for assessing safety in LLM agents.
V2-SAM adapts SAM2 to cross-view object correspondence with geometry-aware and appearance-based prompt generators plus a post-hoc cyclic consistency selector, reporting new state-of-the-art results on Ego-Exo4D, DAVIS-2017, and HANDAL-X.
IMPACT-HOI introduces a supervisory control framework for constructing partial HOI event graphs in procedural videos via trust-calibrated automation and atomic rollback to reduce manual annotation effort while preserving human decisions.
citing papers explorer
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EgoSound: Benchmarking Sound Understanding in Egocentric Videos
EgoSound is a new benchmark with 7315 QA pairs across seven tasks to evaluate egocentric sound understanding in multimodal large language models.
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Focusable Monocular Depth Estimation
FocusDepth is a prompt-conditioned framework that fuses SAM3 features into Depth Anything models via Multi-Scale Spatial-Aligned Fusion to improve target-region depth accuracy on the new FDE-Bench.
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ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis
ATBench is a new trajectory-level benchmark with 1,000 diverse and realistic scenarios for assessing safety in LLM agents.
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V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
V2-SAM adapts SAM2 to cross-view object correspondence with geometry-aware and appearance-based prompt generators plus a post-hoc cyclic consistency selector, reporting new state-of-the-art results on Ego-Exo4D, DAVIS-2017, and HANDAL-X.
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IMPACT-HOI: Supervisory Control for Onset-Anchored Partial HOI Event Construction
IMPACT-HOI introduces a supervisory control framework for constructing partial HOI event graphs in procedural videos via trust-calibrated automation and atomic rollback to reduce manual annotation effort while preserving human decisions.