1 code implementation • 6 Feb 2024 • Tao Zhang, Luwei Yang, Zhibo Xiao, Wen Jiang, Wei Ning
These neglected non-interaction preferences are especially important for broadening user's interests in alleviating echo chamber/filter bubble effects. Therefore, in this paper, we first define diversity as two distinct definitions, i. e., user-explicit diversity (U-diversity) and user-item non-interaction diversity (N-diversity) based on user historical behaviors.
no code implementations • 15 Jan 2024 • Zhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang
Recently, a new recommendation scenario, called Trigger-Induced Recommendation (TIR), where users are able to explicitly express their instant interests via trigger items, is emerging as an essential role in many e-commerce platforms, e. g., Alibaba. com and Amazon.
no code implementations • 17 Dec 2023 • Boming Zhao, Luwei Yang, Mao Mao, Hujun Bao, Zhaopeng Cui
In this paper, we propose a novel visual localization framework, \ie, PNeRFLoc, based on a unified point-based representation.
no code implementations • 10 Oct 2023 • Luwei Yang, Tao Liu, David J. Hill
This paper studies a crucial problem in power system balancing control, i. e., the multi-time slot economic dispatch (MTSED) problem, for power grids with substantial renewables, synchronous generators (SGs), and energy storage devices (ESDs).
no code implementations • 21 Jan 2023 • Heng Li, Xiaodong Gu, Weihao Yuan, Luwei Yang, Zilong Dong, Ping Tan
To reach this challenging goal without depth input, we introduce a hierarchical feature volume to facilitate the implicit map decoder.
no code implementations • CVPR 2022 • Luwei Yang, Rakesh Shrestha, Wenbo Li, Shuaicheng Liu, Guofeng Zhang, Zhaopeng Cui, Ping Tan
Standard visual localization methods build a priori 3D model of a scene which is used to establish correspondences against the 2D keypoints in a query image.
1 code implementation • CVPR 2021 • Luwei Yang, Heng Li, Jamal Ahmed Rahim, Zhaopeng Cui, Ping Tan
These methods can suffer from bad initializations due to the noisy spanning tree or outliers in input relative rotations.
1 code implementation • 12 Feb 2021 • Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
A large number of network embedding methods exist to learn vectorial node representations from general graphs with both homogeneous and heterogeneous node and edge types, including some that can specifically model the distinct properties of bipartite networks.
1 code implementation • CIKM 2020 • Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang
Then the Multi-Interest Extractor Layer is applied to extract multiple user interests.
1 code implementation • 1 Apr 2020 • Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Yu Lin
It has achieved great success on many tasks of network analysis such as link prediction and node classification.
no code implementations • ICCV 2019 • Luwei Yang, Ziqian Bai, Chengzhou Tang, Honghua Li, Yasutaka Furukawa, Ping Tan
This paper presents a scene agnostic neural architecture for camera localization, where model parameters and scenes are independent from each other. Despite recent advancement in learning based methods, most approaches require training for each scene one by one, not applicable for online applications such as SLAM and robotic navigation, where a model must be built on-the-fly. Our approach learns to build a hierarchical scene representation and predicts a dense scene coordinate map of a query RGB image on-the-fly given an arbitrary scene.
no code implementations • CVPR 2018 • Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan
This paper presents a novel polarimetric dense monocular SLAM (PDMS) algorithm based on a polarization camera.
no code implementations • 5 Jul 2016 • Luwei Yang, Ligen Zhu, Yichen Wei, Shuang Liang, Ping Tan
Previous part-based attribute recognition approaches perform part detection and attribute recognition in separate steps.