170 citations · 363 across the 19 of their papers we have counts for
11 papers · 1 filter
PureCC: Pure Learning for Text-to-Image Concept Customization
Zhichao Liao, Xiaole Xian, Qingyu Li +7
Existing concept customization methods have achieved remarkable outcomes in high-fidelity and multi-concept customization. However, they often neglect the influence on the original…
Distilling Textual Priors from LLM to Efficient Image Fusion
Ran Zhang, Xuanhua He, Ke Cao +4
Multi-modality image fusion aims to synthesize a single, comprehensive image from multiple source inputs. Traditional approaches, such as CNNs and GANs, offer efficiency but strugg…
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
Shanshan Wang, Hao Zhou, Xun Yang +4
Unsupervised domain adaptation (UDA) is a critical problem for transfer learning, which aims to transfer the semantic information from labeled source domain to unlabeled target dom…
Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
Dan Guo, Kun Li, Bin Hu +2
Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity movement. It offers insights into the feelings and intentions of individuals and is important f…
Exploiting Regional Information Transformer for Single Image Deraining
Baiang Li, Zhao Zhang, Huan Zheng +5
Transformer-based Single Image Deraining (SID) methods have achieved remarkable success, primarily attributed to their robust capability in capturing long-range interactions. Howev…
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding
Shengkai Sun, Daizong Liu, Jianfeng Dong +5
Unsupervised pre-training has shown great success in skeleton-based action understanding recently. Existing works typically train separate modality-specific models, then integrate…
Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning
Zijie Song, Zhenzhen Hu, Yuanen Zhou +3
Cross-lingual image captioning is a challenging task that requires addressing both cross-lingual and cross-modal obstacles in multimedia analysis. The crucial issue in this task is…
A Survey on Video Moment Localization
Meng Liu, Liqiang Nie, Yunxiao Wang +2
Video moment localization, also known as video moment retrieval, aiming to search a target segment within a video described by a given natural language query. Beyond the task of te…
Vocabulary-informed Zero-shot and Open-set Learning
Yanwei Fu, Xiaomei Wang, Hanze Dong +4
Despite significant progress in object categorization, in recent years, a number of important challenges remain; mainly, the ability to learn from limited labeled data and to recog…
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
Biao Qian, Yang Wang, Zhao Zhang +3
Deep convolutional neural networks have largely benefited computer vision tasks. However, the high computational complexity limits their real-world applications. To this end, many…
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification
Lin Wu, Yang Wang, Hongzhi Yin +2
Video-based person re-identification (re-ID) refers to matching people across camera views from arbitrary unaligned video footages. Existing methods rely on supervision signals to…