39 citations · 50 across the 11 of their papers we have counts for
11 papers
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
Yijia Weng, Kaichun Mo, Ruoxi Shi +2
Some extremely low-dimensional yet crucial geometric eigen-lengths often determine the success of some geometric tasks. For example, the height of an object is important to measure…
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu, Ruoxi Shi, Kaiming Kuang +6
We introduce OpenShape, a method for learning multi-modal joint representations of text, image, and point clouds. We adopt the commonly used multi-modal contrastive learning framew…
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan +2
Vector graphics (VG) have been ubiquitous in our daily life with vast applications in engineering, architecture, designs, etc. The VG recognition process of most existing methods i…
CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild
Yang You, Ruoxi Shi, Weiming Wang +1
In this paper, we tackle the problem of category-level 9D pose estimation in the wild, given a single RGB-D frame. Using supervised data of real-world 9D poses is tedious and erron…
Teaching quantum information technologies and a practical module for online and offline undergraduate students
Hao Tang, Tian-Yu Wang, Ruoxi Shi +1
Quantum Information Technologies and a Practical Module is a new course we launch at Shanghai Jiao Tong University targeting at the undergraduate students who major in a variety of…
Skeleton Merger: an Unsupervised Aligned Keypoint Detector
Ruoxi Shi, Zhengrong Xue, Yang You +1
Detecting aligned 3D keypoints is essential under many scenarios such as object tracking, shape retrieval and robotics. However, it is generally hard to prepare a high-quality data…
PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
Yang You, Yujing Lou, Ruoxi Shi +5
Point cloud analysis without pose priors is very challenging in real applications, as the orientations of point clouds are often unknown. In this paper, we propose a brand new poin…
Keypoint Autoencoders: Learning Interest Points of Semantics
Ruoxi Shi, Zhengrong Xue, Xinyang Li
Understanding point clouds is of great importance. Many previous methods focus on detecting salient keypoints to identity structures of point clouds. However, existing methods negl…
TensorFlow Solver for Quantum PageRank in Large-Scale Networks
Hao Tang, Tian-Shen He, Ruo-Xi Shi +4
Google PageRank is a prevalent and useful algorithm for ranking the significance of nodes or websites in a network, and a recent quantum counterpart for PageRank algorithm has been…
Efficient Web-based Data Imputation with Graph Model
Yiwen Tang, Hongzhi Wang, Shiwei Zhang +2
A challenge for data imputation is the lack of knowledge. In this paper, we attempt to address this challenge by involving extra knowledge from web. To achieve high-performance web…
Similarity Search Combining Query Relaxation and Diversification
Ruoxi Shi, Hongzhi Wang, Tao Wang +2
We study the similarity search problem which aims to find the similar query results according to a set of given data and a query string. To balance the result number and result qua…