12 citations · 24 across the 7 of their papers we have counts for
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cs.CV2026
ContraSafe-VL: A Contrastive Safety Preference Dataset for Vision-Language Models
Di Wu, Yanyan Zhao, Xin Lu +3
Vision-Language Models (VLMs) are increasingly deployed as general-purpose multimodal assistants, making multimodal safety alignment an important challenge. Safety depends on the i…
cs.CV2026
DeepSight: Bridging Depth Maps and Language with a Depth-Driven Multimodal Model
Hao Yang, Hongbo Zhang, Yanyan Zhao +1
Multimodal large language models (MLLMs) have achieved impressive performance across various tasks such as image captioning and visual question answer(VQA); however, they often str…
cs.CV2026
Text-Driven Emotionally Continuous Talking Face Generation
Hao Yang, Yanyan Zhao, Tian Zheng +7
Talking Face Generation (TFG) strives to create realistic and emotionally expressive digital faces. While previous TFG works have mastered the creation of naturalistic facial movem…