1 code implementation • 27 Feb 2024 • Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo, Yujie Yang, Kai Han, Yunhe Wang
In this paper, we propose the SAM-DiffSR model, which can utilize the fine-grained structure information from SAM in the process of sampling noise to improve the image quality without additional computational cost during inference.
1 code implementation • 26 Feb 2024 • wei he, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang
Large language models (LLMs) face a daunting challenge due to the excessive computational and memory requirements of the commonly used Transformer architecture.
1 code implementation • 7 Feb 2024 • Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
Training general-purpose vision models on purely sequential visual data, eschewing linguistic inputs, has heralded a new frontier in visual understanding.
1 code implementation • 6 Feb 2024 • Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang
Recent advancements in large language models have sparked interest in their extraordinary and near-superhuman capabilities, leading researchers to explore methods for evaluating and optimizing these abilities, which is called superalignment.
no code implementations • 16 Jan 2024 • Yang Feng, Zhaohui Sun, Chengcheng Wang, Xinyi Guo, Junyao Mei, Yueran Qi, Jing Liu, Junyu Zhang, Jixuan Wu, Xuepeng Zhan, Jiezhi Chen
Flash memory has been widely adopted as stand-alone memory and embedded memory due to its robust reliability.
3 code implementations • NeurIPS 2023 • Chengcheng Wang, wei he, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
In the past years, YOLO-series models have emerged as the leading approaches in the area of real-time object detection.
no code implementations • 14 Oct 2022 • Shuxin Zhang, Jinlei Zhang, Lixing Yang, Chengcheng Wang, Ziyou Gao
How to dynamically model the complex spatiotemporal dependencies of passenger flow is the main issue in achieving accurate passenger flow prediction during the epidemic.
1 code implementation • 12 Jul 2021 • Yanpeng Cao, Chengcheng Wang, Changjun Song, Yongming Tang, He Li
In order to pursue faster VSR processing ability up to 4K resolution, this paper tries to choose lightweight network structure and efficient upsampling method to reduce the computation required by EGVSR network under the guarantee of high visual quality.
Ranked #2 on Video Super-Resolution on MSU Video Upscalers: Quality Enhancement (VMAF metric)