Search Results for author: Jiamin Wu

Found 7 papers, 1 papers with code

Multi-modal Attribute Prompting for Vision-Language Models

no code implementations1 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.

Attribute

ChatCounselor: A Large Language Models for Mental Health Support

1 code implementation27 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.

Language Modelling Large Language Model

Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches

no code implementations2 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.

Denoising Drug Discovery

Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition

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).

Few-Shot action recognition Few Shot Action Recognition +1

Task-Aware Part Mining Network for Few-Shot Learning

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.

Few-Shot Learning

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

no code implementations26 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.

Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning

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.

Generalized Zero-Shot Learning Self-Supervised Learning

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