3 papers
cs.CV2024
GVDIFF: Grounded Text-to-Video Generation with Diffusion Models
Huanzhang Dou, Ruixiang Li, Wei Su +1
In text-to-video (T2V) generation, significant attention has been directed toward its development, yet unifying discrete and continuous grounding conditions in T2V generation remai…
cs.CV2024
ScanFormer: Referring Expression Comprehension by Iteratively Scanning
Wei Su, Peihan Miao, Huanzhang Dou +1
Referring Expression Comprehension (REC) aims to localize the target objects specified by free-form natural language descriptions in images. While state-of-the-art methods achieve…
cs.CV2024
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Yike Yuan, Huanzhang Dou, Fengjun Guo +1
This paper represents a neat yet effective framework, named SemanticMIM, to integrate the advantages of masked image modeling (MIM) and contrastive learning (CL) for general visual…