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20182024
most citedFoundational Models Defining a New Era in Vision: A Survey and Outlook

68 citations · 78 across the 8 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CV2023

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning

Chen Jiang, Hong Liu, Xuzheng Yu +8

In recent years, the explosion of web videos makes text-video retrieval increasingly essential and popular for video filtering, recommendation, and search. Text-video retrieval aim…

cs.CV2023

Editing 3D Scenes via Text Prompts without Retraining

Shuangkang Fang, Yufeng Wang, Yi Yang +4

Numerous diffusion models have recently been applied to image synthesis and editing. However, editing 3D scenes is still in its early stages. It poses various challenges, such as t…

cs.CV20234 cited

Self-regulating Prompts: Foundational Model Adaptation without Forgetting

Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer +3

Prompt learning has emerged as an efficient alternative for fine-tuning foundational models, such as CLIP, for various downstream tasks. Conventionally trained using the task-speci…

cs.CV20231 cited

EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints

Yutao Chen, Xingning Dong, Tian Gan +3

Motivated by the superior performance of image diffusion models, more and more researchers strive to extend these models to the text-based video editing task. Nevertheless, current…

cs.CV2023

Dual Associated Encoder for Face Restoration

Yu-Ju Tsai, Yu-Lun Liu, Lu Qi +2

Restoring facial details from low-quality (LQ) images has remained a challenging problem due to its ill-posedness induced by various degradations in the wild. The existing codebook…

cs.CV202368 cited

Foundational Models Defining a New Era in Vision: A Survey and Outlook

Muhammad Awais, Muzammal Naseer, Salman Khan +5

Vision systems to see and reason about the compositional nature of visual scenes are fundamental to understanding our world. The complex relations between objects and their locatio…