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Jingyu Wu

3 accepted papers

2026

OmniGround: A Comprehensive Spatio-Temporal Grounding Benchmark for Real-World Complex Scenarios

CVPR 2026

Spatio-Temporal Video Grounding (STVG) aims to localize target objects in videos based on natural language descriptions. While Multimodal Large Language Models have shown promise, a significant gap remains between current models and real-world demands involving diverse objects and complex queries. W

Cited by 0Source ↗Scholar ↗
2023

Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer

AAAI 2023technical

Deep generative models are effective in style transfer. Previous methods learn one or several specific artist-style from a collection of artworks. These methods not only homogenize the artist-style of different artworks of the same artist but also lack generalization for the unseen artists. To solv…

Cited by 5Source ↗PDF ↗Scholar ↗
2021

Image Synthesis From Layout With Locality-Aware Mask Adaption

ICCV 2021poster

This paper is concerned with synthesizing images conditioned on a layout (a set of bounding boxes with object categories). Existing works construct a layout-mask-image pipeline. Object masks are generated separately and mapped to bounding boxes to form a whole semantic segmentation mask (layout-to-m…

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