Search Results for author: Jiahao Wang

Found 20 papers, 10 papers with code

Global Spectral Filter Memory Network for Video Object Segmentation

1 code implementation11 Oct 2022 Yong liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang

Besides, we empirically find low frequency feature should be enhanced in encoder (backbone) while high frequency for decoder (segmentation head).

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

Towards Real-World Video Deblurring by Exploring Blur Formation Process

1 code implementation28 Aug 2022 Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng

We believe the novel realistic synthesis pipeline and the corresponding RAW video dataset can help the community to easily construct customized blur datasets to improve real-world video deblurring performance largely, instead of laboriously collecting real data pairs.

Deblurring

Learning Adaptive Warping for Real-World Rolling Shutter Correction

1 code implementation CVPR 2022 Mingdeng Cao, Zhihang Zhong, Jiahao Wang, Yinqiang Zheng, Yujiu Yang

This paper proposes the first real-world rolling shutter (RS) correction dataset, BS-RSC, and a corresponding model to correct the RS frames in a distorted video.

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

1 code implementation19 Apr 2022 Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang

No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception.

No-Reference Image Quality Assessment

Accelerating Neural Network Optimization Through an Automated Control Theory Lens

no code implementations CVPR 2022 Jiahao Wang, Baoyuan Wu, Rui Su, Mingdeng Cao, Shuwei Shi, Wanli Ouyang, Yujiu Yang

We conduct experiments both from a control theory lens through a phase locus verification and from a network training lens on several models, including CNNs, Transformers, MLPs, and on benchmark datasets.

SAGA: Stochastic Whole-Body Grasping with Contact

no code implementations19 Dec 2021 Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang

Given an initial pose and the generated whole-body grasping pose as the start and end of the motion respectively, we design a novel contact-aware generative motion infilling module to generate a diverse set of grasp-oriented motions.

Adder Attention for Vision Transformer

no code implementations NeurIPS 2021 Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang

With the new operation, vision transformers constructed using additions can also provide powerful feature representations.

Will You Ever Become Popular? Learning to Predict Virality of Dance Clips

no code implementations6 Nov 2021 Jiahao Wang, Yunhong Wang, Nina Weng, Tianrui Chai, Annan Li, Faxi Zhang, Sansi Yu

Therefore, virality prediction from dance challenges is of great commercial value and has a wide range of applications, such as smart recommendation and popularity promotion.

FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation

2 code implementations3 Nov 2021 Zhe Chen, Jiahao Wang, Wenhai Wang, Guo Chen, Enze Xie, Ping Luo, Tong Lu

We propose an accurate and efficient scene text detection framework, termed FAST (i. e., faster arbitrarily-shaped text detector).

Image Classification Scene Text Detection

Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning

1 code implementation15 Aug 2021 Jiahao Wang, Yunhong Wang, Sheng Liu, Annan Li

Fine-grained action recognition is attracting increasing attention due to the emerging demand of specific action understanding in real-world applications, whereas the data of rare fine-grained categories is very limited.

Action Understanding Fine-grained Action Recognition +1

Quantitatively Nonblocking Supervisory Control of Discrete-Event Systems

no code implementations2 Aug 2021 Renyuan Zhang, Jiahao Wang, Zenghui Wang, Kai Cai

Finally, combining with the algorithm of computing the supremal controllable sublanguage, we design algorithms to compute the maximally permissive solutions to the formulated (heterogeneously) quantitatively nonblocking supervisory control problems.

Coarse-to-Fine Searching for Efficient Generative Adversarial Networks

no code implementations19 Apr 2021 Jiahao Wang, Han Shu, Weihao Xia, Yujiu Yang, Yunhe Wang

This paper studies the neural architecture search (NAS) problem for developing efficient generator networks.

Image Generation Neural Architecture Search

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