activity
20172026
most citedSelf-supervised Learning on Graphs: Deep Insights and New Direction

111 citations · 543 across the 63 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Personalized Image Generation with Reasoning and Reflection

Bo Ni, Ngoc N. Tran, Qinwen Ge +10

Personalized image generation has remained narrowly focused on conditional synthesis from curated visual exemplars, rather than capturing who a user is. In practice, however, a use…

cs.CV2026

Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy

Abhinav Sharma, Sai Karthik Navuluru, Wang Wei +21

Video and audio are perceived together, yet most generative models treat them in isolation. We examine methods that model the two modalities jointly, generate one from the other, o…

cs.CV2026

Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution

Hua Liu, Yanbin Wei, Fei Xing +3

Dynamic graphs are common in real-world systems such as social media, recommender systems, and traffic networks. Existing dynamic graph models for link prediction often fall short…

cs.CV2025

Inverse-LLaVA: Rethinking Multimodal Alignment via Text-to-Vision Mapping

Xuhui Zhan, Tyler Derr

Connecting pretrained vision and language models usually involves projecting image features into the language model's input space. Inverse-LLaVA reverses this mapping within decode…

cs.CV2021★ 2 cited

Interpretable Visual Understanding with Cognitive Attention Network

Xuejiao Tang, Wenbin Zhang, Yi Yu +4

While image understanding on recognition-level has achieved remarkable advancements, reliable visual scene understanding requires comprehensive image understanding on recognition-l…