activity
20192026
most citedCLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding

75 citations · 177 across the 25 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 18 cited

Toward Visual Grounding: A Survey

Linhui Xiao, Xiaoshan Yang, Xiangyuan Lan +2

Visual Grounding, also known as Referring Expression Comprehension and Phrase Grounding, aims to ground the specific region(s) within the image(s) based on the given expression tex…

cs.CV2024★ 2 cited

OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling

Linhui Xiao, Xiaoshan Yang, Fang Peng +2

Constrained by the separate encoding of vision and language, existing grounding and referring segmentation works heavily rely on bulky Transformer-based fusion en-/decoders and a v…

cs.CV2024★ 2 cited

A Comprehensive Review of Few-shot Action Recognition

Yuyang Wanyan, Xiaoshan Yang, Weiming Dong +1

Few-shot action recognition aims to address the high cost and impracticality of manually labeling complex and variable video data in action recognition. It requires accurately clas…

cs.CV2024

Libra: Building Decoupled Vision System on Large Language Models

Yifan Xu, Xiaoshan Yang, Yaguang Song +1

In this work, we introduce Libra, a prototype model with a decoupled vision system on a large language model (LLM). The decoupled vision system decouples inner-modal modeling and c…

cs.CV2024★ 28 cited

HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual Grounding

Linhui Xiao, Xiaoshan Yang, Fang Peng +2

Visual grounding, which aims to ground a visual region via natural language, is a task that heavily relies on cross-modal alignment. Existing works utilized uni-modal pre-trained m…