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cs.CV2026
DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation
Mingji Ge, Qirui Chen, Zeqian Li +1
Long-term video understanding requires interpreting complex temporal events and reasoning over procedural activities. While instructional video corpora, like HowTo100M, offer rich…
cs.SD2026
SpotSound: Enhancing Large Audio-Language Models with Fine-Grained Temporal Grounding
Luoyi Sun, Xiao Zhou, Zeqian Li +3
Large Audio-Language Models (ALMs) have recently demonstrated remarkable capabilities in holistic audio understanding, yet they remain unreliable for temporal grounding, i.e., the…