8 citations · 29 across the 13 of their papers we have counts for
13 papers
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data
Guangxuan Song, Dongmei Fu, Zhongwei Qiu +2
Uncertainty estimation is crucial in scientific data for machine learning. Current uncertainty estimation methods mainly focus on the model's inherent uncertainty, while neglecting…
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes
Ke Zhou, Zhongwei Qiu, Dongmei Fu
Foundational vision models, such as the Segment Anything Model (SAM), have achieved significant breakthroughs through extensive pre-training on large-scale visual datasets. Despite…
Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction
Guangxuan Song, Dongmei Fu, Zhongwei Qiu +4
Using machine learning (ML) techniques to predict material properties is a crucial research topic. These properties depend on numerical data and semantic factors. Due to the limita…
MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field
Zijiang Yang, Zhongwei Qiu, Chang Xu +1
3D style transfer aims to generate stylized views of 3D scenes with specified styles, which requires high-quality generating and keeping multi-view consistency. Existing methods st…
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation
Zhongwei Qiu, Qiansheng Yang, Jian Wang +7
One of the mainstream schemes for 2D human pose estimation (HPE) is learning keypoints heatmaps by a neural network. Existing methods typically improve the quality of heatmaps by c…
Stable Diffusion is Unstable
Chengbin Du, Yanxi Li, Zhongwei Qiu +1
Recently, text-to-image models have been thriving. Despite their powerful generative capacity, our research has uncovered a lack of robustness in this generation process. Specifica…
PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers
Zhongwei Qiu, Yang Qiansheng, Jian Wang +6
Existing methods of multi-person video 3D human Pose and Shape Estimation (PSE) typically adopt a two-stage strategy, which first detects human instances in each frame and then per…
Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution
Zhongwei Qiu, Huan Yang, Jianlong Fu +3
Video Super-Resolution (VSR) aims to restore high-resolution (HR) videos from low-resolution (LR) videos. Existing VSR techniques usually recover HR frames by extracting pertinent…
Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge
Zhongwei Qiu, Kai Qiu, Jianlong Fu +1
Modern deep learning-based 3D pose estimation approaches require plenty of 3D pose annotations. However, existing 3D datasets lack diversity, which limits the performance of curren…
DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks
Zijiang Yang, Zhongwei Qiu, Dongmei Fu
Modeling dynamics in the form of partial differential equations (PDEs) is an effectual way to understand real-world physics processes. For complex physics systems, analytical solut…
IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation
Zhongwei Qiu, Qiansheng Yang, Jian Wang +1
Video 3D human pose estimation aims to localize the 3D coordinates of human joints from videos. Recent transformer-based approaches focus on capturing the spatiotemporal informatio…
Dynamic Graph Reasoning for Multi-person 3D Pose Estimation
Zhongwei Qiu, Qiansheng Yang, Jian Wang +1
Multi-person 3D pose estimation is a challenging task because of occlusion and depth ambiguity, especially in the cases of crowd scenes. To solve these problems, most existing meth…
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
Zhongwei Qiu, Huan Yang, Jianlong Fu +1
Compressed video super-resolution (VSR) aims to restore high-resolution frames from compressed low-resolution counterparts. Most recent VSR approaches often enhance an input frame…