Zobrazeno 1 - 10
of 566
pro vyhledávání: '"Zhu, Jiahao"'
Generative Steganography (GS) is a novel technique that utilizes generative models to conceal messages without relying on cover images. Contemporary GS algorithms leverage the powerful generative capabilities of Diffusion Models (DMs) to create high-
Externí odkaz:
http://arxiv.org/abs/2409.04878
Knowledge graph completion (KGC) aims to identify missing triples in a knowledge graph (KG). This is typically achieved through tasks such as link prediction and instance completion. However, these methods often focus on either static knowledge graph
Externí odkaz:
http://arxiv.org/abs/2408.10819
Text-to-3D generation aims to create 3D assets from text-to-image diffusion models. However, existing methods face an inherent bottleneck in generation quality because the widely-used objectives such as Score Distillation Sampling (SDS) inappropriate
Externí odkaz:
http://arxiv.org/abs/2406.14964
Code Pre-trained Models (CodePTMs) based vulnerability detection have achieved promising results over recent years. However, these models struggle to generalize as they typically learn superficial mapping from source code to labels instead of underst
Externí odkaz:
http://arxiv.org/abs/2406.03718
Detail features of magnetic resonance images play a cru-cial role in accurate medical diagnosis and treatment, as they capture subtle changes that pose challenges for doc-tors when performing precise judgments. However, the widely utilized naive diff
Externí odkaz:
http://arxiv.org/abs/2405.05763
The design and development of text-based knowledge graph completion (KGC) methods leveraging textual entity descriptions are at the forefront of research. These methods involve advanced optimization techniques such as soft prompts and contrastive lea
Externí odkaz:
http://arxiv.org/abs/2310.08279
Coronal jets are eruptions identified by a collimated, sometimes twisted spire. They are small-scale energetic events compared with flares. Using multi-wavelength observations from the Solar Dynamics Observatory/Atmospheric Imaging Assembly (SDO/AIA)
Externí odkaz:
http://arxiv.org/abs/2303.18098
Temporal sentence grounding (TSG) aims to localize the temporal segment which is semantically aligned with a natural language query in an untrimmed video.Most existing methods extract frame-grained features or object-grained features by 3D ConvNet or
Externí odkaz:
http://arxiv.org/abs/2302.10813
Autor:
Zhu, Jiahao, Liu, Daizong, Zhou, Pan, Di, Xing, Cheng, Yu, Yang, Song, Xu, Wenzheng, Xu, Zichuan, Wan, Yao, Sun, Lichao, Xiong, Zeyu
Temporal sentence grounding (TSG) aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence query. All existing works first utilize a sparse sampling strategy to extract a fixed number of video frames and then
Externí odkaz:
http://arxiv.org/abs/2301.00514
Autor:
Zhu, Jiahao1,2 (AUTHOR), Huang, Yi1 (AUTHOR), Zeng, Hongtao1 (AUTHOR), Huang, Jingrui1,3 (AUTHOR) jingruihuang@hotmail.com, Zhang, Weishe1,3 (AUTHOR) zhangweishe@yeah.net
Publikováno v:
Scientific Reports. 11/9/2024, p1-9. 9p.
