Yu Cheng

Orcid: 0000-0002-9830-0081

Affiliations:
  • National University of Singapore, Yale-NUS College


According to our database1, Yu Cheng authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SkatingVerse: A large-scale benchmark for comprehensive evaluation on human action understanding.
IET Comput. Vis., October, 2024

Unified Single-Stage Transformer Network for Efficient RGB-T Tracking.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions.
Proceedings of the Computer Vision - ECCV 2024, 2024

SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons.
Pattern Recognit., July, 2023

Dual Networks Based 3D Multi-Person Pose Estimation From Monocular Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

ORTexME: Occlusion-Robust Human Shape and Pose via Temporal Average Texture and Mesh Encoding.
CoRR, 2023

Unified Single-Stage Transformer Network for Efficient RGB-T Tracking.
CoRR, 2023

DecenterNet: Bottom-Up Human Pose Estimation Via Decentralized Pose Representation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio.
CoRR, 2020

Object Tracking Using Spatio-Temporal Future Prediction.
CoRR, 2020

Object Tracking Using Spatio-Temporal Networks for Future Prediction Location.
Proceedings of the Computer Vision - ECCV 2020, 2020

3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Graph Based Unsupervised Feature Aggregation for Face Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Occlusion-Aware Networks for 3D Human Pose Estimation in Video.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition.
CoRR, 2018

Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing.
CoRR, 2018

Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

3D-Aided Deep Pose-Invariant Face Recognition.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Pose Invariant Face Recognition in the Wild.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Know You at One Glance: A Compact Vector Representation for Low-Shot Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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