665 citations · 1k across the 35 of their papers we have counts for
9 papers · 1 filter
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
Xianpeng Liu, Nan Xue, Tianfu Wu
Monocular 3D object detection aims to localize 3D bounding boxes in an input single 2D image. It is a highly challenging problem and remains open, especially when no extra informat…
Decoupling Zero-Shot Semantic Segmentation
Jian Ding, Nan Xue, Gui-Song Xia +1
Zero-shot semantic segmentation (ZS3) aims to segment the novel categories that have not been seen in the training. Existing works formulate ZS3 as a pixel-level zeroshot classific…
LUAI Challenge 2021 on Learning to Understand Aerial Images
Gui-Song Xia, Jian Ding, Ming Qian +33
This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in a…
Parsing Table Structures in the Wild
Rujiao Long, Wen Wang, Nan Xue +4
This paper tackles the problem of table structure parsing (TSP) from images in the wild. In contrast to existing studies that mainly focus on parsing well-aligned tabular images wi…
Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation
Nan Xue, Tianfu Wu, Gui-Song Xia +1
This paper studies the problem of multi-person pose estimation in a bottom-up fashion. With a new and strong observation that the localization issue of the center-offset formulatio…
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
Bin Tan, Nan Xue, Song Bai +2
This paper presents a neural network built upon Transformers, namely PlaneTR, to simultaneously detect and reconstruct planes from a single image. Different from previous methods,…
Deep Graph Matching under Quadratic Constraint
Quankai Gao, Fudong Wang, Nan Xue +2
Recently, deep learning based methods have demonstrated promising results on the graph matching problem, by relying on the descriptive capability of deep features extracted on grap…
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Jiaming Han, Jian Ding, Nan Xue +1
Recently, object detection in aerial images has gained much attention in computer vision. Different from objects in natural images, aerial objects are often distributed with arbitr…
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding, Nan Xue, Gui-Song Xia +8
In the past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale and orientation of obj…