7 citations · 18 across the 22 of their papers we have counts for
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cs.CV2026
See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding
Boyuan Sun, Bowen Yin, Yuanming Li +2
We present SWIM (See What I Mean), a novel training strategy that aligns vision and language representations to enable fine-grained object understanding solely from textual prompts…
cs.CV2026
OmniEncoder: See, Hear, and Feel Continuous Motion Like Humans With One Encoder
Detao Bai, Shimin Yao, Weixuan Chen +4
Recent advances in omni-modal large language models have enabled remarkable progress in joint vision-audio understanding. However, prevailing architectures rely on modality-specifi…
cs.CV2026
HumanOmni-Speaker: Identifying Who said What and When
Detao Bai, Zhiheng Ma, Xihan Wei
While Omni-modal Large Language Models have made strides in joint sensory processing, they fundamentally struggle with a cornerstone of human interaction: deciphering complex, mult…