b'Wangmeng Zuo'

research

∙ 09/21/2023

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition

For improving image composition and aesthetic quality, most existing met...

0 Xiaoyu Liu, et al. ∙

research

∙ 09/15/2023

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces

Due to their highly structured characteristics, faces are easier to reco...

0 Zhicun Yin, et al. ∙

research

∙ 09/13/2023

Aggregating Long-term Sharp Features via Hybrid Transformers for Video Deblurring

Video deblurring methods, aiming at recovering consecutive sharp frames ...

0 Dongwei Ren, et al. ∙

research

∙ 09/04/2023

Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration

Existing Video Restoration (VR) methods always necessitate the individua...

0 Yuanshuo Cheng, et al. ∙

research

∙ 08/31/2023

Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models

Zero-shot referring image segmentation is a challenging task because it ...

0 Minheng Ni, et al. ∙

research

∙ 08/27/2023

VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization

Few-shot font generation is challenging, as it needs to capture the fine...

0 Mingshuai Yao, et al. ∙

research

∙ 08/21/2023

UniM^2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving

Masked Autoencoders (MAE) play a pivotal role in learning potent represe...

0 Jian Zou, et al. ∙

research

∙ 08/20/2023

Rethinking Client Drift in Federated Learning: A Logit Perspective

Federated Learning (FL) enables multiple clients to collaboratively lear...

0 Yunlu Yan, et al. ∙

research

∙ 08/11/2023

Towards Instance-adaptive Inference for Federated Learning

Federated learning (FL) is a distributed learning paradigm that enables ...

0 Chun-Mei Feng, et al. ∙

research

∙ 08/11/2023

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning

Benefiting from prompt tuning, recent years have witnessed the promising...

0 Chun-Mei Feng, et al. ∙

research

∙ 07/24/2023

Data-free Black-box Attack based on Diffusion Model

Since the training data for the target model in a data-free black-box at...

0 Mingwen Shao, et al. ∙

research

∙ 07/21/2023

Improving Transferability of Adversarial Examples via Bayesian Attacks

This paper presents a substantial extension of our work published at ICL...

0 Qizhang Li, et al. ∙

research

∙ 07/15/2023

DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration

Existing All-In-One image restoration (IR) methods usually lack flexible...

0 Yuanshuo Cheng, et al. ∙

research

∙ 05/31/2023

Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive

Modern consumer cameras usually employ the rolling shutter (RS) mechanis...

0 Wei Shang, et al. ∙

research

∙ 05/22/2023

ControlVideo: Training-free Controllable Text-to-Video Generation

Text-driven diffusion models have unlocked unprecedented abilities in im...

0 Yabo Zhang, et al. ∙

research

∙ 04/26/2023

Improving Adversarial Transferability via Intermediate-level Perturbation Decay

Intermediate-level attacks that attempt to perturb feature representatio...

0 Qizhang Li, et al. ∙

research

∙ 04/03/2023

Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation

In this work, we investigate performing semantic segmentation solely thr...

0 Yabo Zhang, et al. ∙

research

∙ 03/28/2023

Learning Federated Visual Prompt in Null Space for MRI Reconstruction

Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...

17 Chun-Mei Feng, et al. ∙

research

∙ 03/27/2023

Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time

Natural videos captured by consumer cameras often suffer from low framer...

0 Wei Shang, et al. ∙

research

∙ 03/26/2023

Learning Generative Structure Prior for Blind Text Image Super-resolution

Blind text image super-resolution (SR) is challenging as one needs to co...

0 Xiaoming Li, et al. ∙

research

∙ 03/12/2023

Towards Universal Vision-language Omni-supervised Segmentation

Existing open-world universal segmentation approaches usually leverage C...

0 Bowen Dong, et al. ∙

research

∙ 02/10/2023

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples

The transferability of adversarial examples across deep neural networks ...

0 Qizhang Li, et al. ∙

research

∙ 12/27/2022

Position-Aware Contrastive Alignment for Referring Image Segmentation

Referring image segmentation aims to segment the target object described...

0 Bo Chen, et al. ∙

research

∙ 11/26/2022

Learning Single Image Defocus Deblurring with Misaligned Training Pairs

By adopting popular pixel-wise loss, existing methods for defocus deblur...

0 Yu Li, et al. ∙

research

∙ 11/23/2022

Texts as Images in Prompt Tuning for Multi-Label Image Recognition

Prompt tuning has been employed as an efficient way to adapt large visio...

0 Zixian Guo, et al. ∙

research

∙ 10/15/2022

Learning Dual Memory Dictionaries for Blind Face Restoration

To improve the performance of blind face restoration, recent works mainl...

0 Xiaoming Li, et al. ∙

research

∙ 10/13/2022

ImaginaryNet: Learning Object Detectors without Real Images and Annotations

Without the demand of training in reality, humans can easily detect a kn...

0 Minheng Ni, et al. ∙

research

∙ 10/03/2022

CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training

Pre-training across 3D vision and language remains under development bec...

20 Tianyu Huang, et al. ∙

research

∙ 10/03/2022

LPT: Long-tailed Prompt Tuning for Image Classification

For long-tailed classification, most works often pretrain a big model on...

5 Bowen Dong, et al. ∙

research

∙ 10/03/2022

From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution

Designing proper training pairs is critical for super-resolving the real...

0 Xiaoming Li, et al. ∙

research

∙ 09/26/2022

A heterogeneous group CNN for image super-resolution

Convolutional neural networks (CNNs) have obtained remarkable performanc...

14 Chunwei Tian, et al. ∙

research

∙ 09/26/2022

Multi-stage image denoising with the wavelet transform

Deep convolutional neural networks (CNNs) are used for image denoising v...

0 Chunwei Tian, et al. ∙

research

∙ 08/08/2022

Two-Stream Networks for Object Segmentation in Videos

Existing matching-based approaches perform video object segmentation (VO...

0 Hannan Lu, et al. ∙

research

∙ 07/25/2022

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

Weakly-supervised object detection (WSOD) aims to train an object detect...

8 Zitong Huang, et al. ∙

research

∙ 07/21/2022

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

Generative adversarial networks (GANs) have drawn enormous attention due...

0 Ming Liu, et al. ∙

research

∙ 07/18/2022

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

One-shot generative domain adaption aims to transfer a pre-trained gener...

0 Yabo Zhang, et al. ∙

research

∙ 07/13/2022

Symmetry-Aware Transformer-based Mirror Detection

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

8 Tianyu Huang, et al. ∙

research

∙ 07/12/2022

Learning Diverse Tone Styles for Image Retouching

Image retouching, aiming to regenerate the visually pleasing renditions ...

8 Haolin Wang, et al. ∙

research

∙ 06/16/2022

An Improved Normed-Deformable Convolution for Crowd Counting

In recent years, crowd counting has become an important issue in compute...

0 Xin Zhong, et al. ∙

research

∙ 06/08/2022

Robust Deep Ensemble Method for Real-world Image Denoising

Recently, deep learning-based image denoising methods have achieved prom...

0 Pengju Liu, et al. ∙

research

∙ 05/29/2022

Image Super-resolution with An Enhanced Group Convolutional Neural Network

CNNs with strong learning abilities are widely chosen to resolve super-r...

0 Chunwei Tian, et al. ∙

research

∙ 05/23/2022

Collaborative Adversarial Training

The vulnerability of deep neural networks (DNNs) to adversarial examples...

0 Qizhang Li, et al. ∙

research

∙ 04/28/2022

Generative Adversarial Networks for Image Super-Resolution: A Survey

Single image super-resolution (SISR) has played an important role in the...

0 Chunwei Tian, et al. ∙

research

∙ 04/26/2022

Learning Dual-Pixel Alignment for Defocus Deblurring

It is a challenging task to recover all-in-focus image from a single def...

0 Yu Li, et al. ∙

research

∙ 04/19/2022

Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

Full-reference (FR) image quality assessment (IQA) evaluates the visual ...

0 Yue Cao, et al. ∙

research

∙ 04/12/2022

Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones

While significant progress has been made in deep video denoising, it rem...

1 Junyi Li, et al. ∙

research

∙ 04/06/2022

Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis

Semantic image synthesis is a challenging task with many practical appli...

0 Yupeng Shi, et al. ∙

research

∙ 04/04/2022

Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective

Recently, multiple synthetic and real-world datasets have been built to ...

0 Ming Liu, et al. ∙

research

∙ 03/31/2022

Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis

Recent years have witnessed substantial progress in semantic image synth...

0 Zhengyao Lv, et al. ∙

research

∙ 03/21/2022

An Intermediate-level Attack Framework on The Basis of Linear Regression

This paper substantially extends our work published at ECCV, in which an...

0 Yiwen Guo, et al. ∙

Wangmeng Zuo

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