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03/21/2023
3D Human Mesh Estimation from Virtual Markers
Inspired by the success of volumetric 3D pose estimation, some recent hu...
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03/21/2023
Human Pose as Compositional Tokens
Human pose is typically represented by a coordinate vector of body joint...
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08/07/2022
Robust Multi-Object Tracking by Marginal Inference
Multi-object tracking in videos requires to solve a fundamental problem ...
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07/31/2022
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
As an important upstream task for many medical applications, supervised ...
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07/22/2022
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection
While the voxel-based methods have achieved promising results for multi-...
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07/20/2022
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data
While monocular 3D pose estimation seems to have achieved very accurate ...
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03/03/2022
Correlation-Aware Deep Tracking
Robustness and discrimination power are two fundamental requirements in ...
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12/05/2021
Learning Tracking Representations via Dual-Branch Fully Transformer Networks
We present a Siamese-like Dual-branch network based on solely Transforme...
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11/30/2021
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
Multi-camera tracking systems are gaining popularity in applications tha...
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11/02/2021
Relational Self-Attention: What's Missing in Attention for Video Understanding
Convolution has been arguably the most important feature transform for m...
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08/05/2021
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
We present VoxelTrack for multi-person 3D pose estimation and tracking f...
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03/29/2021
Context Modeling in 3D Human Pose Estimation: A Unified Perspective
Estimating 3D human pose from a single image suffers from severe ambigui...
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12/11/2020
A Multi-task Joint Framework for Real-time Person Search
Person search generally involves three important parts: person detection...
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11/25/2020
Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation
Semi-supervised learning aims to boost the accuracy of a model by explor...
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04/13/2020
End-to-End Estimation of Multi-Person 3D Poses from Multiple Cameras
We present an approach to estimate 3D poses of multiple people from mult...
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04/04/2020
A Simple Baseline for Multi-Object Tracking
There has been remarkable progress on object detection and re-identifica...
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03/30/2020
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
Cross view feature fusion is the key to address the occlusion problem in...
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09/03/2019
Cross View Fusion for 3D Human Pose Estimation
We present an approach to recover absolute 3D human poses from multi-vie...
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01/30/2018
Object Detection in Videos by Short and Long Range Object Linking
We address the problem of detecting objects in videos with the interest ...
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12/12/2014
Representing Data by a Mixture of Activated Simplices
We present a new model which represents data as a mixture of simplices. ...
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06/09/2014