no code implementations • 1 Mar 2024 • Xin Liu, Jiamin Wu, Tianzhu Zhang
To address this issue, we propose a Multi-modal Attribute Prompting method (MAP) by jointly exploring textual attribute prompting, visual attribute prompting, and attribute-level alignment.
1 code implementation • 27 Sep 2023 • June M. Liu, Donghao Li, He Cao, Tianhe Ren, Zeyi Liao, Jiamin Wu
This paper presents ChatCounselor, a large language model (LLM) solution designed to provide mental health support.
no code implementations • 2 Aug 2023 • Jiamin Wu, He Cao, Yuan YAO
Examples of such side information include the chemical and geometric features of the target protein, ligand-target compound interactions, and ligand chemical properties.
no code implementations • CVPR 2022 • Jiamin Wu, Tianzhu Zhang, Zhe Zhang, Feng Wu, Yongdong Zhang
To address this issue, we propose an end-to-end Motion-modulated Temporal Fragment Alignment Network (MTFAN) by jointly exploring the task-specific motion modulation and the multi-level temporal fragment alignment for Few-Shot Action Recognition (FSAR).
no code implementations • ICCV 2021 • Jiamin Wu, Tianzhu Zhang, Yongdong Zhang, Feng Wu
The task-aware part filters can adapt to any individual task and automatically mine task-related local parts even for an unseen task.
no code implementations • 26 Aug 2020 • Tiankuang Zhou, Xing Lin, Jiamin Wu, Yitong Chen, Hao Xie, Yipeng Li, Jintao Fan, Huaqiang Wu, Lu Fang, Qionghai Dai
Here, we propose an optoelectronic reconfigurable computing paradigm by constructing a diffractive processing unit (DPU) that can efficiently support different neural networks and achieve a high model complexity with millions of neurons.
no code implementations • CVPR 2020 • Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu
In the shared space, we pull the distribution of target domain away from source domain, and obtain domain-aware features with high discriminative power for both seen and unseen classes.