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20222026
most citedDiffusionRet: Generative Text-Video Retrieval with Diffusion Model

7 citations · 22 across the 18 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023★ 1 cited

FreestyleRet: Retrieving Images from Style-Diversified Queries

Hao Li, Curise Jia, Peng Jin +5

Image Retrieval aims to retrieve corresponding images based on a given query. In application scenarios, users intend to express their retrieval intent through various query styles.…

cs.CV2023

WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation

Zesen Cheng, Peng Jin, Hao Li +5

The top-down and bottom-up methods are two mainstreams of referring segmentation, while both methods have their own intrinsic weaknesses. Top-down methods are chiefly disturbed by…

cs.CV2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation

Kehan Li, Yian Zhao, Zhennan Wang +6

Interactive segmentation enables users to segment as needed by providing cues of objects, which introduces human-computer interaction for many fields, such as image editing and med…

cs.CV2023★ 2 cited

Parallel Vertex Diffusion for Unified Visual Grounding

Zesen Cheng, Kehan Li, Peng Jin +4

Unified visual grounding pursues a simple and generic technical route to leverage multi-task data with less task-specific design. The most advanced methods typically present boxes…

cs.CV2023★ 7 cited

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Peng Jin, Hao Li, Zesen Cheng +5

Existing text-video retrieval solutions are, in essence, discriminant models focused on maximizing the conditional likelihood, i.e., p(candidates|query). While straightforward, thi…