Liangjian Chen

According to our database1, Liangjian Chen authored at least 14 papers between 2018 and 2023.

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Bibliography

2023
Extending Context Window of Large Language Models via Positional Interpolation.
CoRR, 2023

2022
PPT: Token-Pruned Pose Transformer for Monocular and Multi-view Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Identity-Aware Hand Mesh Estimation and Personalization from RGB Images.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Deep Learning in 3D Hand Pose and Mesh Estimation.
PhD thesis, 2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis.
CoRR, 2020

DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
TAGAN: Tonality Aligned Generative Adversarial Networks for Realistic Hand Pose Synthesis.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

A Mobile Phone Data Visualization Tool for People Flow Analysis.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation.
CoRR, 2018

Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering.
CoRR, 2018


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