1 code implementation • 14 Feb 2024 • Zhaoqing Wang, Xiaobo Xia, Ziye Chen, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu
With this unpaired mask-text supervision, we propose a new weakly-supervised open-vocabulary segmentation framework (Uni-OVSeg) that leverages confident pairs of mask predictions and entities in text descriptions.
no code implementations • 8 Jun 2023 • Ziye Chen, Kate Smith-Miles, Bo Du, Guoqi Qian, Mingming Gong
Our method obtains 2D and 3D lane predictions by applying the lane features to the image-view and BEV features, respectively.
1 code implementation • ICCV 2023 • Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles
While such methods reduce the reliance on specific knowledge, the kernels computed from the key locations fail to capture the lane line's global structure due to its long and thin structure, leading to inaccurate detection of lane lines with complex topologies.
Ranked #1 on Lane Detection on CurveLanes
1 code implementation • ACL 2021 • Ziye Chen, Cheng Ding, Zusheng Zhang, Yanghui Rao, Haoran Xie
Topic modeling has been widely used for discovering the latent semantic structure of documents, but most existing methods learn topics with a flat structure.
no code implementations • ICCV 2021 • Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du
Despite their efficiency, current graph-based predictors treat all operations equally, resulting in biased topological knowledge of cell architectures.
no code implementations • ACL 2020 • Jiemin Wu, Yanghui Rao, Zusheng Zhang, Haoran Xie, Qing Li, Fu Lee Wang, Ziye Chen
Mixed counting models that use the negative binomial distribution as the prior can well model over-dispersed and hierarchically dependent random variables; thus they have attracted much attention in mining dispersed document topics.