1 code implementation • 14 Mar 2024 • Ruixiang Jiang, Lingbo Liu, Changwen Chen
Building upon this disentanglement, we introduce the mixture of prompt experts (MoPE) technique to enhance expressiveness.
1 code implementation • 28 Nov 2023 • Ruixiang Jiang, Lingbo Liu, Changwen Chen
We show that the representation of one modality can effectively guide the prompting of another modality for parameter-efficient multimodal fusion.
1 code implementation • 12 May 2023 • Ruixiang Jiang, Lingbo Liu, Changwen Chen
Specifically, we propose CLIP-Count, the first end-to-end pipeline that estimates density maps for open-vocabulary objects with text guidance in a zero-shot manner.
Ranked #3 on Cross-Part Crowd Counting on ShanghaiTech A
1 code implementation • ICCV 2023 • Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating a 3D human avatar with a specific identity and artistic style that can be easily animated.
1 code implementation • 15 Dec 2022 • Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
As a powerful representation of 3D scenes, the neural radiance field (NeRF) enables high-quality novel view synthesis from multi-view images.