research
∙
02/02/2023
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation
This paper presents an inverse kinematic optimization layer (IKOL) for 3...
share
research
∙
01/18/2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID
Person Re-identification (ReID) has been extensively studied in recent y...
research
∙
12/15/2022
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions
Humans constantly interact with objects in daily life tasks. Capturing s...
research
∙
11/30/2022
Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR
Depth estimation is usually ill-posed and ambiguous for monocular camera...
research
∙
11/29/2022
Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation
Lifelong person re-identification (LReID) is in significant demand for r...
research
∙
11/24/2022
Responsible Active Learning via Human-in-the-loop Peer Study
Active learning has been proposed to reduce data annotation efforts by o...
research
∙
11/24/2022
Knowledge-Aware Federated Active Learning with Non-IID Data
Federated learning enables multiple decentralized clients to learn colla...
research
∙
11/22/2022
LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors
LiDAR can capture accurate depth information in large-scale scenarios wi...
research
∙
11/03/2022
FedTP: Federated Learning by Transformer Personalization
Federated learning is an emerging learning paradigm where multiple clien...
research
∙
09/14/2022
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator
Recent years have seen growing interest in 3D human faces modelling due ...
research
∙
07/16/2022
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation
Inter-person occlusion and depth ambiguity make estimating the 3D poses ...
research
∙
03/17/2022
HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions
Monocular 3D motion capture (mocap) is beneficial to many applications. ...
research
∙
08/01/2021
Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions
4D reconstruction of human-object interaction is critical for immersive ...
research
∙
07/01/2021
Embedding-based Recommender System for Job to Candidate Matching on Scale
The online recruitment matching system has been the core technology and ...
research
∙
04/01/2021
Online Multiple Object Tracking with Cross-Task Synergy
Modern online multiple object tracking (MOT) methods usually focus on tw...
research
∙
07/19/2020
Symbiotic Adversarial Learning for Attribute-based Person Search
Attribute-based person search is in significant demand for applications ...
research
∙
04/01/2020
Pose-guided Visible Part Matching for Occluded Person ReID
Occluded person re-identification is a challenging task as the appearanc...
research
∙
07/23/2019
Tripartite Vector Representations for Better Job Recommendation
Job recommendation is a crucial part of the online job recruitment busin...
research
∙
03/26/2018
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Most existing person re-identification (re-id) methods require supervise...
research
∙
09/25/2017
Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Recognising semantic pedestrian attributes in surveillance images is a c...
research
∙
05/30/2017
