144 citations · 285 across the 16 of their papers we have counts for
16 papers
HieDG: A Hierarchical Discrete Geometry-Guided Framework for Multi-Animal Tracking
Chenxun Deng, Zhongde Zhang, Ye Yuan +7
Multi-animal tracking (MAT) is critical for wildlife monitoring and behavioral analysis, yet remains challenging due to uniform appearance, high density, and irregular motion. Exis…
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Zixuan Xu, Banghuai Li, Ye Yuan +1
Recently significant progress has been made in pedestrian detection, but it remains challenging to achieve high performance in occluded and crowded scenes. It could be attributed m…
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
Bohan Li, Ye Yuan, Dingkang Liang +5
Recently, most handwritten mathematical expression recognition (HMER) methods adopt the encoder-decoder networks, which directly predict the markup sequences from formula images wi…
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression
Jiachen Li, Ye Yuan, Hong-Bin Shen
Symbolic Regression (SR) is a type of regression analysis to automatically find the mathematical expression that best fits the data. Currently, SR still basically relies on various…
Syntax-Aware Network for Handwritten Mathematical Expression Recognition
Ye Yuan, Xiao Liu, Wondimu Dikubab +4
Handwritten mathematical expression recognition (HMER) is a challenging task that has many potential applications. Recent methods for HMER have achieved outstanding performance wit…
FBNet: Feature Balance Network for Urban-Scene Segmentation
Lei Gan, Huabin Huang, Banghuai Li +1
Image segmentation in the urban scene has recently attracted much attention due to its success in autonomous driving systems. However, the poor performance of concerned foreground…
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun, Banghuai Li, Shengcai Cai +2
Emerging interests have been brought to recognize previously unseen objects given very few training examples, known as few-shot object detection (FSOD). Recent researches demonstra…
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan +2
We propose a method for incorporating object interaction and human body dynamics into the task of 3D ego-pose estimation using a head-mounted camera. We use a kinematics model of t…
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting
Xinshuo Weng, Ye Yuan, Kris Kitani
3D multi-object tracking (MOT) and trajectory forecasting are two critical components in modern 3D perception systems. We hypothesize that it is beneficial to unify both tasks unde…
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
Zixuan Xu, Banghuai Li, Miao Geng +1
Facial landmark localization aims to detect the predefined points of human faces, and the topic has been rapidly improved with the recent development of neural network based method…
State-Aware Tracker for Real-Time Video Object Segmentation
Xi Chen, Zuoxin Li, Ye Yuan +3
In this work, we address the task of semi-supervised video object segmentation(VOS) and explore how to make efficient use of video property to tackle the challenge of semi-supervis…
WIDER Face and Pedestrian Challenge 2018: Methods and Results
Chen Change Loy, Dahua Lin, Wanli Ouyang +49
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurat…
SFace: An Efficient Network for Face Detection in Large Scale Variations
Jianfeng Wang, Ye Yuan, Boxun Li +2
Face detection serves as a fundamental research topic for many applications like face recognition. Impressive progress has been made especially with the recent development of convo…
Face Attention Network: An Effective Face Detector for the Occluded Faces
Jianfeng Wang, Ye Yuan, Gang Yu
The performance of face detection has been largely improved with the development of convolutional neural network. However, the occlusion issue due to mask and sunglasses, is still…
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification
Po-Yao Huang, Ye Yuan, Zhenzhong Lan +2
We report on CMU Informedia Lab's system used in Google's YouTube 8 Million Video Understanding Challenge. In this multi-label video classification task, our pipeline achieved 84.6…
Joint Hand Detection and Rotation Estimation by Using CNN
Xiaoming Deng, Ye Yuan, Yinda Zhang +4
Hand detection is essential for many hand related tasks, e.g. parsing hand pose, understanding gesture, which are extremely useful for robotics and human-computer interaction. Howe…