50 citations · 105 across the 20 of their papers we have counts for
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Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding
Haoxuan You, Rui Sun, Zhecan Wang +2
From a visual scene containing multiple people, human is able to distinguish each individual given the context descriptions about what happened before, their mental/physical states…
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense
Zhecan Wang, Haoxuan You, Yicheng He +3
Visual commonsense understanding requires Vision Language (VL) models to not only understand image and text but also cross-reference in-between to fully integrate and achieve compr…
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
Zhecan Wang, Noel Codella, Yen-Chun Chen +8
Cross-modal encoders for vision-language (VL) tasks are often pretrained with carefully curated vision-language datasets. While these datasets reach an order of 10 million samples,…
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks
Zhecan Wang, Noel Codella, Yen-Chun Chen +7
Contrastive language-image pretraining (CLIP) links vision and language modalities into a unified embedding space, yielding the tremendous potential for vision-language (VL) tasks.…