no code implementations • 23 May 2024 • Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
Our key idea is to reconstruct the diffusion training process, introducing more refined guidance tailored to this task, to expose and rectify the model's attention at the character level and strengthen its learning of text regions.
2 code implementations • 25 Apr 2024 • Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Hao Wang
In this survey, we provide a comprehensive overview of the current research progress on LLMs within the context of CL.
1 code implementation • 8 Mar 2024 • Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
This prior information is encoded into the attention weights, which are then integrated into the self-attention layers of the generator to guide the synthesis process.
1 code implementation • 5 Mar 2024 • Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad Mahi Shafiullah, Lerrel Pinto
Unlike language or image generation, decision making requires modeling actions - continuous-valued vectors that are multimodal in their distribution, potentially drawn from uncurated sources, where generation errors can compound in sequential prediction.
1 code implementation • 17 Nov 2023 • Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
Layout-to-image synthesis is an emerging technique in conditional image generation.
1 code implementation • 17 Nov 2023 • Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin
Specifically, we first develop two specialized pre-trained diffusion models, i. e., Text-driven Diffusion Model (TDM) and Subject-augmented Diffusion Model (SDM), for scene and person generation, respectively.
no code implementations • 1 Jan 2023 • Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
To tackle the challenges, we formulate the problem as a course representation learning task-based and develop an Information-aware Graph Representation Learning(IaGRL) for multi-view MOOC quality evaluation.
no code implementations • 18 Oct 2022 • Zichen Jeff Cui, Yibin Wang, Nur Muhammad Mahi Shafiullah, Lerrel Pinto
While large-scale sequence modeling from offline data has led to impressive performance gains in natural language and image generation, directly translating such ideas to robotics has been challenging.
no code implementations • 3 Jan 2022 • Yibin Wang, Abdur Rahman, W. Neil. Duggar, P. Russell Roberts, Toms V. Thomas, Linkan Bian, Haifeng Wang
However, manual annotation of lymph node region is a required data preprocessing step in most of the current ML-based ECE diagnosis studies.
no code implementations • 3 Jan 2022 • Yibin Wang, Haifeng Wang, Zhaohua Peng
In this research, an attention-based depthwise separable neural network with Bayesian optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf images.