Zobrazeno 1 - 10
of 604
pro vyhledávání: '"Jiang Xiaolong"'
Autor:
Liu, Yikun, Chen, Pingan, Cai, Jiayin, Jiang, Xiaolong, Hu, Yao, Yao, Jiangchao, Wang, Yanfeng, Xie, Weidi
With the rapid advancement of multimodal information retrieval, increasingly complex retrieval tasks have emerged. Existing methods predominately rely on task-specific fine-tuning of vision-language models, often those trained with image-text contras
Externí odkaz:
http://arxiv.org/abs/2412.01720
Autor:
Huang, Kerui, Xu, Wenbo, Hu, Haoliang, Jiang, Xiaolong, Sun, Lei, Zhao, Wenyan, Long, Binbin, Fan, Shaogang, Zhou, Zhibo, Mo, Ping, Jiang, Xiaocheng, Tian, Jianhong, Deng, Aihua, Xie, Peng, Wang, Yun
Mitochondrial genomes in the Pinaceae family are notable for their large size and structural complexity. In this study, we sequenced and analyzed the mitochondrial genome of Cathaya argyrophylla, an endangered and endemic Pinaceae species, uncovering
Externí odkaz:
http://arxiv.org/abs/2410.07006
Autor:
Sun, Huixin, Wang, Runqi, Li, Yanjing, Cao, Xianbin, Jiang, Xiaolong, Hu, Yao, Zhang, Baochang
Large-scale pre-trained Vision-Language Models (VLMs) have gained prominence in various visual and multimodal tasks, yet the deployment of VLMs on downstream application platforms remains challenging due to their prohibitive requirements of training
Externí odkaz:
http://arxiv.org/abs/2409.17634
With recent generative models facilitating photo-realistic image synthesis, the proliferation of synthetic images has also engendered certain negative impacts on social platforms, thereby raising an urgent imperative to develop effective detectors. C
Externí odkaz:
http://arxiv.org/abs/2408.06741
Autor:
Yan, Cilin, Wang, Haochen, Yan, Shilin, Jiang, Xiaolong, Hu, Yao, Kang, Guoliang, Xie, Weidi, Gavves, Efstratios
Existing Video Object Segmentation (VOS) relies on explicit user instructions, such as categories, masks, or short phrases, restricting their ability to perform complex video segmentation requiring reasoning with world knowledge. In this paper, we in
Externí odkaz:
http://arxiv.org/abs/2407.11325
With the rapid development of generative models, discerning AI-generated content has evoked increasing attention from both industry and academia. In this paper, we conduct a sanity check on "whether the task of AI-generated image detection has been s
Externí odkaz:
http://arxiv.org/abs/2406.19435
Autor:
Yan, Cilin, Wang, Haochen, Jiang, Xiaolong, Hu, Yao, Tang, Xu, Kang, Guoliang, Gavves, Efstratios
Contrastive Vision-Language Pre-training(CLIP) demonstrates impressive zero-shot capability. The key to improve the adaptation of CLIP to downstream task with few exemplars lies in how to effectively model and transfer the useful knowledge embedded i
Externí odkaz:
http://arxiv.org/abs/2406.11252
Autor:
Wang, Mingze, Su, Lili, Yan, Cilin, Xu, Sheng, Yuan, Pengcheng, Jiang, Xiaolong, Zhang, Baochang
The intelligent interpretation of buildings plays a significant role in urban planning and management, macroeconomic analysis, population dynamics, etc. Remote sensing image building interpretation primarily encompasses building extraction and change
Externí odkaz:
http://arxiv.org/abs/2403.07564
Publikováno v:
Management Decision, 2023, Vol. 62, Issue 8, pp. 2532-2557.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MD-04-2023-0531
Autor:
Zeng, Bohan, Li, Shanglin, Liu, Xuhui, Gao, Sicheng, Jiang, Xiaolong, Tang, Xu, Hu, Yao, Liu, Jianzhuang, Zhang, Baochang
Brain signal visualization has emerged as an active research area, serving as a critical interface between the human visual system and computer vision models. Although diffusion models have shown promise in analyzing functional magnetic resonance ima
Externí odkaz:
http://arxiv.org/abs/2305.10135