Search Results Wangmeng Zuo

Found 162 papers, 91 papers with code

Two-Stream Networks for Object Segmentation in Videos

no code implementations8 Aug 2022 Hannan Lu, Zhi Tian, Lirong Yang, Haibing Ren, WangMeng Zuo

The compact instance stream effectively improves the segmentation accuracy of the unseen pixels, while fusing two streams with the adaptive routing map leads to an overall performance boost.

Semantic Segmentation Video Object Segmentation +1

W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection

1 code implementation25 Jul 2022 Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, WangMeng Zuo

Generally, with given pseudo ground-truths generated from the well-trained WSOD network, we propose a two-module iterative training algorithm to refine pseudo labels and supervise better object detector progressively.

object-detection Transfer Learning +1

A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration

1 code implementation21 Jul 2022 Ming Liu, Yuxiang Wei, Xiaohe Wu, WangMeng Zuo, Lei Zhang

Generative adversarial networks (GANs) have drawn enormous attention due to the simple yet effective training mechanism and superior image generation quality.

Image Generation Image Restoration

Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks

1 code implementation18 Jul 2022 Yabo Zhang, Mingshuai Yao, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, WangMeng Zuo

In this paper, we present a novel one-shot generative domain adaption method, i. e., DiFa, for diverse generation and faithful adaptation.

Domain Adaptation

Symmetry-Aware Transformer-based Mirror Detection

1 code implementation13 Jul 2022 Tianyu Huang, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson W. H. Lau, WangMeng Zuo

Mirror detection aims to identify the mirror regions in the given input image.

Learning Diverse Tone Styles for Image Retouching

1 code implementation12 Jul 2022 Haolin Wang, Jiawei Zhang, Ming Liu, Xiaohe Wu, WangMeng Zuo

In particular, the style encoder predicts the target style representation of an input image, which serves as the conditional information in the RetouchNet for retouching, while the TSFlow maps the style representation vector into a Gaussian distribution in the forward pass.

Image Retouching

An Improved Normed-Deformable Convolution for Crowd Counting

1 code implementation16 Jun 2022 Xin Zhong, Zhaoyi Yan, Jing Qin, WangMeng Zuo, Weigang Lu

However, the heads are not uniformly covered by the sampling points in the deformable convolution, resulting in loss of head information.

Crowd Counting

Robust Deep Ensemble Method for Real-world Image Denoising

1 code implementation8 Jun 2022 Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, WangMeng Zuo

In particular, we take well-trained CBDNet, NBNet, HINet, Uformer and GMSNet into denoiser pool, and a U-Net is adopted to predict pixel-wise weighting maps to fuse these denoisers.

Deblurring Image Deblurring +5

Image Super-resolution with An Enhanced Group Convolutional Neural Network

1 code implementation29 May 2022 Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, WangMeng Zuo, David Zhang

In this paper, we present an enhanced super-resolution group CNN (ESRGCNN) with a shallow architecture by fully fusing deep and wide channel features to extract more accurate low-frequency information in terms of correlations of different channels in single image super-resolution (SISR).

Image Super-Resolution Single Image Super Resolution