MMLab@NTUMembers in MMLab@NTU conduct research primarily in low-level vision, image and video understanding, creative content creation, 3D scene understanding and reconstruction. Publication Super-Resolution Our team is the first to introduce the use of deep neural networks to directly predict super-...
MMLab@NTU was formed on the 1 August 2018, with a research focus on computer vision and deep learning. Its sister lab isMMLab@CUHK. It is now a group with three faculty members and more than 40 members including research fellows, research assistants, research engineers and PhD students. ...
南洋理工大学(Nanyang Technological University),简称南大或 NTU,是新加坡的一所顶尖研究型大学。 导师信息 潘新钢博士 (个人主页 https://xingangpan.github.io/) 于本月初加入南洋理工大学 School of Computer Science and Engineering (SCSE) 担任助理教授,隶属于 MMLab-NTU 和 S-Lab。此前他在马克斯普朗克计算机...
超赞AI方向PhD和RA机会!MMLab@NTU新教职潘新刚老师! 记得点个“在看”或者将坚果君设为“星标“ Big 祝贺 Nuts老学员,潘新钢博士,入职新加坡南洋理工大学,开始招收学生啦! 导师介绍 潘新钢博士 个人主页 https://xingangpan.github.io/ 新加入南洋理工大学 School of Computer Science and Engineering (SCSE) 担...
南洋理工大学(Nanyang Technological University),简称南大或 NTU,是新加坡的一所顶尖研究型大学。 导师信息 潘新钢博士 (个人主页 https://xingangpan.github.io/) 于本月初加入南洋理工大学 School of Computer Science and Engineering (SCSE) 担任助理教授,隶属于 MMLab-NTU 和 S-Lab。此前他在马克斯普朗克计算机...
南洋理工大学(Nanyang Technological University),简称南大或 NTU,是新加坡的一所顶尖研究型大学。 导师信息 潘新钢博士 (个人主页 https://xingangpan.github.io/) 于本月初加入南洋理工大学 School of Computer Science and Engineering (SCSE) 担任助理教授,隶属于 MMLab-NTU 和 S-Lab。此前他在马克斯普朗克计算机...
Y. Jiang, Z. Huang, X. Pan, C. C. Loy, Z. Liu in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021(ICCV) [PDF] [arXiv] [Project Page] Contact Shuai Yang(Image from thisdemo) Email: shuai.yang at ntu.edu.sg...
In particular, objects with the same latent code share either the same or very similar abstract representations in the first few layers, based on which domain-specific details are gradually added. GP-UNIT exploits this generative prior for building robust mappings and choose BigGAN for its rich ...
However, its success highly relies on the object-centric priors of ImageNet, i.e., different augmented views of the same image correspond to the same object. Such a heavily curated constraint becomes immediately infeasible when pre-trained on more complex scene images with many objects. To ...
Code The Framework OV-DETR We build on the success of DETR that casts object detection as an end-to-end set matching problem (among closed classes), thus eliminating the need of hand-crafted components like anchor generation and non-maximum suppression. We provide a new perspective on the mat...