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06/29/2023
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation
One of the mainstream schemes for 2D human pose estimation (HPE) is lear...
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05/22/2023
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending
Large-scale image-text contrastive pre-training models, such as CLIP, ha...
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03/16/2023
PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers
Existing methods of multi-person video 3D human Pose and Shape Estimatio...
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11/25/2022
DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks
Modeling dynamics in the form of partial differential equations (PDEs) i...
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11/22/2022
Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge
Modern deep learning-based 3D pose estimation approaches require plenty ...
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08/06/2022
IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation
Video 3D human pose estimation aims to localize the 3D coordinates of hu...
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07/27/2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Masked image modeling (MIM) has achieved promising results on various vi...
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07/22/2022
Dynamic Graph Reasoning for Multi-person 3D Pose Estimation
Multi-person 3D pose estimation is a challenging task because of occlusi...
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04/07/2021
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
We study joint learning of Convolutional Neural Network (CNN) and Transf...
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04/02/2020
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
We propose Pixel-BERT to align image pixels with text by deep multi-moda...
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09/13/2018