Search Results for author: Tianfu Wang

Found 21 papers, 10 papers with code

Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning

1 code implementation25 Jun 2024 Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong

Specifically, the whole VNE process is decomposed into an upper-level policy for deciding whether to admit the arriving VNR or not and a lower-level policy for allocating resources of the physical network to meet the requirement of VNR through the HRL approach.

Combinatorial Optimization Graph Neural Network +2

Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models

1 code implementation17 Jun 2024 Tianfu Wang, Anton Obukhov, Konrad Schindler

Generative 3D Painting is among the top productivity boosters in high-resolution 3D asset management and recycling.

Asset Management Denoising

Object Pose Estimation via the Aggregation of Diffusion Features

1 code implementation CVPR 2024 Tianfu Wang, Guosheng Hu, Hongguang Wang

To achieve this, we propose three distinct architectures that can effectively capture and aggregate diffusion features of different granularity, greatly improving the generalizability of object pose estimation.

Pose Estimation Scene Understanding

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives

no code implementations7 Mar 2024 Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang

Graph Convolutional Networks (GCNs) have become pivotal in recommendation systems for learning user and item embeddings by leveraging the user-item interaction graph's node information and topology.

Recommendation Systems

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control

no code implementations5 Dec 2023 Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc van Gool, Konrad Schindler, Anton Obukhov

Large, pretrained latent diffusion models (LDMs) have demonstrated an extraordinary ability to generate creative content, specialize to user data through few-shot fine-tuning, and condition their output on other modalities, such as semantic maps.

Autonomous Driving Domain Generalization +1

Breathing New Life into 3D Assets with Generative Repainting

2 code implementations15 Sep 2023 Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc van Gool, Anton Obukhov

Diffusion-based text-to-image models ignited immense attention from the vision community, artists, and content creators.

Accurate Eye Tracking from Dense 3D Surface Reconstructions using Single-Shot Deflectometry

no code implementations14 Aug 2023 Jiazhang Wang, Tianfu Wang, Bingjie Xu, Oliver Cossairt, Florian Willomitzer

Eye-tracking plays a crucial role in the development of virtual reality devices, neuroscience research, and psychology.

Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning

no code implementations20 Jun 2023 Huiguo He, Tianfu Wang, Huan Yang, Jianlong Fu, Nicholas Jing Yuan, Jian Yin, Hongyang Chao, Qi Zhang

The proposed framework consists of a large language model (LLM), a diffusion-based image generator, and a series of visual rewards by design.

Attribute Image Generation +3

Optimization-Based Eye Tracking using Deflectometric Information

no code implementations9 Mar 2023 Tianfu Wang, Jiazhang Wang, Oliver Cossairt, Florian Willomitzer

Eye tracking is an important tool with a wide range of applications in Virtual, Augmented, and Mixed Reality (VR/AR/MR) technologies.

Inverse Rendering Mixed Reality

Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences

no code implementations23 Jun 2021 Zejian Chen, Wei Zhuo, Tianfu Wang, Wufeng Xue, Dong Ni

Based on the continuity between slices/frames and the common spatial layout of organs across volumes/sequences, we introduced a novel bootstrap self-supervised representation learning method by leveraging the predictable possibility of neighboring slices.

Representation Learning Self-Supervised Learning

A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions

no code implementations6 Jan 2021 Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei

In this paper, we first present an arc based algorithm for fan-beam computed tomography (CT) reconstruction via applying Katsevich's helical CT formula to 2D fan-beam CT reconstruction.

Computed Tomography (CT) SSIM

Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans

no code implementations20 Oct 2020 Mohammad Hamghalam, Baiying Lei, Tianfu Wang

Structural magnetic resonance imaging (MRI) has been widely utilized for analysis and diagnosis of brain diseases.


A model-guided deep network for limited-angle computed tomography

1 code implementation10 Aug 2020 Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei

In this paper, we first propose a variational model for the limited-angle computed tomography (CT) image reconstruction and then convert the model into an end-to-end deep network. We use the penalty method to solve the model and divide it into three iterative subproblems, where the first subproblem completes the sinograms by utilizing the prior information of sinograms in the frequency domain and the second refines the CT images by using the prior information of CT images in the spatial domain, and the last merges the outputs of the first two subproblems.

Computed Tomography (CT) Image Reconstruction

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation

no code implementations9 Jun 2020 Mohammad Hamghalam, Baiying Lei, Tianfu Wang

We also employ HTC MR images in both the end-to-end and two-stage segmentation structure to confirm the effectiveness of these images.

Generative Adversarial Network Image-to-Image Translation +1

A deep network for sinogram and CT image reconstruction

1 code implementation20 Jan 2020 Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei

A CT image can be well reconstructed when the sampling rate of the sinogram satisfies the Nyquist criteria and the sampled signal is noise-free.

Denoising Image Reconstruction +1

SANet:Superpixel Attention Network for Skin Lesion Attributes Detection

no code implementations20 Oct 2019 Xinzi He, Baiying Lei, Tianfu Wang

We introduce a superpixel average pooling to reformulate the superpixel classification problem as a superpixel segmentation problem and a SAMis utilized to focus on discriminative superpixel regions and feature channels.

Attribute General Classification +2

Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans

no code implementations27 Sep 2019 Mohammad Hamghalam, Baiying Lei, Tianfu Wang

A comparison of these synthetic images and real images of brain tumor tissue in MR scans showed significant segmentation improvement and decreased the number of real channels for segmentation.

Brain Tumor Segmentation Generative Adversarial Network +2

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

1 code implementation3 Jul 2019 Yi Wang, Haoran Dou, Xiao-Wei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni

Our attention module utilizes the attention mechanism to selectively leverage the multilevel features integrated from different layers to refine the features at each individual layer, suppressing the non-prostate noise at shallow layers of the CNN and increasing more prostate details into features at deep layers.

Image Segmentation Medical Image Segmentation +2

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