Search Results for author: Xiaotao Wang

Found 15 papers, 8 papers with code

Learning Real-World Image De-Weathering with Imperfect Supervision

1 code implementation23 Oct 2023 Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chaoyu Feng, Xiaotao Wang, Lei Lei, WangMeng Zuo

Real-world image de-weathering aims at removing various undesirable weather-related artifacts.

Pseudo Label

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

1 code implementation3 Oct 2023 Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, Lei Lei, WangMeng Zuo

The color component is estimated from aligned multi-exposure images, while the structure one is generated through a structure-focused network that is supervised by the color component and an input reference (\eg, medium-exposure) image.

HDR Reconstruction

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition

1 code implementation ICCV 2023 Xiaoyu Liu, Ming Liu, Junyi Li, Shuai Liu, Xiaotao Wang, Lei Lei, WangMeng Zuo

In this paper, we circumvent this issue by presenting a joint framework for both unbounded recommendation of camera view and image composition (i. e., UNIC).

Image Cropping

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

2 code implementations ICCV 2023 Wei Shang, Dongwei Ren, Chaoyu Feng, Xiaotao Wang, Lei Lei, WangMeng Zuo

In this paper, we propose a Self-supervised learning framework for Dual reversed RS distortions Correction (SelfDRSC), where a DRSC network can be learned to generate a high framerate GS video only based on dual RS images with reversed distortions.

Self-Supervised Learning

CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition

no code implementations ICCV 2023 Peiqi Jiao, Yuecong Min, Yanan Li, Xiaotao Wang, Lei Lei, Xilin Chen

The co-occurrence signals (e. g., hand shape, facial expression, and lip pattern) play a critical role in Continuous Sign Language Recognition (CSLR).

Sign Language Recognition Visual Grounding

Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography

no code implementations CVPR 2023 Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, WangMeng Zuo

Although deep neural networks have achieved astonishing performance in many vision tasks, existing learning-based methods are far inferior to the physical model-based solutions in extreme low-light sensor noise modeling.

Image Denoising

Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models

no code implementations3 Sep 2021 Zixuan Chen, Junhong Zou, Xiaotao Wang

Semantic segmentation is an important task in computer vision, from which some important usage scenarios are derived, such as autonomous driving, scene parsing, etc.

Autonomous Driving Scene Parsing +3

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