36 citations · 120 across the 18 of their papers we have counts for
19 papers
Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video
Wenzheng Zeng, Yang Xiao, Sicheng Wei +5
Real-time eyeblink detection in the wild can widely serve for fatigue detection, face anti-spoofing, emotion analysis, etc. The existing research efforts generally focus on single-…
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
Van Nguyen Nguyen, Yinlin Hu, Yang Xiao +2
We present a method that can recognize new objects and estimate their 3D pose in RGB images even under partial occlusions. Our method requires neither a training phase on these obj…
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place Solution
Yuming Du, Wen Guo, Yang Xiao +1
In this report, we introduce our (pretty straightforard) two-step "detect-then-match" video instance segmentation method. The first step performs instance segmentation for each fra…
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021
Yuming Du, Wen Guo, Yang Xiao +1
We describe our two-stage instance segmentation framework we use to compete in the challenge. The first stage of our framework consists of an object detector, which generates objec…
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
Yang Xiao, Yuming Du, Renaud Marlet
Motivated by the need for estimating the 3D pose of arbitrary objects, we consider the challenging problem of class-agnostic object viewpoint estimation from images only, without C…
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
Xuchong Qiu, Yang Xiao, Chaohui Wang +1
We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orienta…
ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification
Fu Xiong, Yang Xiao, Zhiguo Cao +3
Face verification can be regarded as a 2-class fine-grained visual recognition problem. Enhancing the feature's discriminative power is one of the key problems to improve its perfo…
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao, Vincent Lepetit, Renaud Marlet
Detecting objects and estimating their viewpoints in images are key tasks of 3D scene understanding. Recent approaches have achieved excellent results on very large benchmarks for…
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
Haozhe Qi, Chen Feng, Zhiguo Cao +2
Towards 3D object tracking in point clouds, a novel point-to-box network termed P2B is proposed in an end-to-end learning manner. Our main idea is to first localize potential targe…
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
Yancheng Wang, Yang Xiao, Fu Xiong +4
To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) is proposed as a novel 3D motion representation. With 3D space voxelization, the key idea of 3DV is to encod…
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek +32
We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy…
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
Fu Xiong, Boshen Zhang, Yang Xiao +4
For 3D hand and body pose estimation task in depth image, a novel anchor-based approach termed Anchor-to-Joint regression network (A2J) with the end-to-end learning ability is prop…
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois +2
Most deep pose estimation methods need to be trained for specific object instances or categories. In this work we propose a completely generic deep pose estimation approach, which…
Comparative evaluation of 2D feature correspondence selection algorithms
Chen Zhao, Jiaqi Yang, Yang Xiao +1
Correspondence selection aiming at seeking correct feature correspondences from raw feature matches is pivotal for a number of feature-matching-based tasks. Various 2D (image) corr…
Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices
Guilei Hu, Yang Xiao, Zhiguo Cao +4
Effective and real-time eyeblink detection is of wide-range applications, such as deception detection, drive fatigue detection, face anti-spoofing, etc. Although numerous of effort…
Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification
Fu Xiong, Yang Xiao, Zhiguo Cao +3
Person re-identification is indeed a challenging visual recognition task due to the critical issues of human pose variation, human body occlusion, camera view variation, etc. To ad…
Action Recognition for Depth Video using Multi-view Dynamic Images
Yang Xiao, Jun Chen, Yancheng Wang +3
Dynamic imaging is a recently proposed action description paradigm for simultaneously capturing motion and temporal evolution information, particularly in the context of deep convo…
Performance Evaluation of 3D Correspondence Grouping Algorithms
Jiaqi Yang, Ke Xian, Yang Xiao +1
This paper presents a thorough evaluation of several widely-used 3D correspondence grouping algorithms, motived by their significance in vision tasks relying on correct feature cor…
TasselNet: Counting maize tassels in the wild via local counts regression network
Hao Lu, Zhiguo Cao, Yang Xiao +2
Accurately counting maize tassels is important for monitoring the growth status of maize plants. This tedious task, however, is still mainly done by manual efforts. In the context…