3.8k citations · 3.9k across the 11 of their papers we have counts for
11 papers
MMCL: Correcting Content Query Distributions for Improved Anti-Overlapping X-Ray Object Detection
Mingyuan Li, Tong Jia, Hui Lu +7
Unlike natural images with occlusion-based overlap, X-ray images exhibit depth-induced superimposition and semi-transparent appearances, where objects at different depths overlap a…
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen, Jianzhi Long, Baosheng Yu +1
With recent success of deep learning in 2D visual recognition, deep learning-based 3D point cloud analysis has received increasing attention from the community, especially due to t…
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
Yangyang Shu, Baosheng Yu, Haiming Xu +1
The challenge of fine-grained visual recognition often lies in discovering the key discriminative regions. While such regions can be automatically identified from a large-scale lab…
Deep Dictionary Learning with An Intra-class Constraint
Xia Yuan, Jianping Gou, Baosheng Yu +2
In recent years, deep dictionary learning (DDL)has attracted a great amount of attention due to its effectiveness for representation learning and visual recognition.~However, most…
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
Zhi Hou, Baosheng Yu, Dacheng Tao
Despite the success of deep neural networks, there are still many challenges in deep representation learning due to the data scarcity issues such as data imbalance, unseen distribu…
Detecting Human-Object Interaction via Fabricated Compositional Learning
Zhi Hou, Baosheng Yu, Yu Qiao +2
Human-Object Interaction (HOI) detection, inferring the relationships between human and objects from images/videos, is a fundamental task for high-level scene understanding. Howeve…
Heatmap Regression via Randomized Rounding
Baosheng Yu, Dacheng Tao
Heatmap regression has become the mainstream methodology for deep learning-based semantic landmark localization, including in facial landmark localization and human pose estimation…
Knowledge Distillation: A Survey
Jianping Gou, Baosheng Yu, Stephen John Maybank +1
In recent years, deep neural networks have been successful in both industry and academia, especially for computer vision tasks. The great success of deep learning is mainly due to…
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution
Yang Liu, Fanyou Wu, Baosheng Yu +2
How to build an effective large-scale traffic state prediction system is a challenging but highly valuable problem. This study focuses on the construction of an effective solution…
Unsupervised Domain Adaptation on Reading Comprehension
Yu Cao, Meng Fang, Baosheng Yu +1
Reading comprehension (RC) has been studied in a variety of datasets with the boosted performance brought by deep neural networks. However, the generalization capability of these m…
Anchor Cascade for Efficient Face Detection
Baosheng Yu, Dacheng Tao
Face detection is essential to facial analysis tasks such as facial reenactment and face recognition. Both cascade face detectors and anchor-based face detectors have translated sh…