Search Results for author: Chao Zhu

Found 13 papers, 4 papers with code

Unsupervised Multi-view Pedestrian Detection

no code implementations21 May 2023 Mengyin Liu, Chao Zhu, Shiqi Ren, Xu-Cheng Yin

1) Firstly, Semantic-aware Iterative Segmentation (SIS) is proposed to extract unsupervised representations of multi-view images, which are converted into 2D pedestrian masks as pseudo labels, via our proposed iterative PCA and zero-shot semantic classes from vision-language models.

Camera Calibration Pedestrian Detection

VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision

1 code implementation CVPR 2023 Mengyin Liu, Jie Jiang, Chao Zhu, Xu-Cheng Yin

Firstly, we propose a self-supervised Vision-Language Semantic (VLS) segmentation method, which learns both fully-supervised pedestrian detection and contextual segmentation via self-generated explicit labels of semantic classes by vision-language models.

Autonomous Driving Pedestrian Detection

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization

1 code implementation18 Jul 2022 Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Yu Guo, Ding Liu, Lean Fu, Fei Wang

We develop two simple yet effective plug and play methods to improve the performance of existing local and non-local propagation-based VSR algorithms on widely-used public videos.

Video Super-Resolution

Boosting Multi-Modal E-commerce Attribute Value Extraction via Unified Learning Scheme and Dynamic Range Minimization

no code implementations15 Jul 2022 Mengyin Liu, Chao Zhu, Hongyu Gao, Weibo Gu, Hongfa Wang, Wei Liu, Xu-Cheng Yin

2) Secondly, a text-guided information range minimization method is proposed to adaptively encode descriptive parts of each modality into an identical space with a powerful pretrained linguistic model.

Attribute Value Extraction Descriptive

Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring

1 code implementation9 Dec 2021 Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang

Instead of estimating alignment information, we propose a simple and effective deep Recurrent Neural Network with Multi-scale Bi-directional Propagation (RNN-MBP) to effectively propagate and gather the information from unaligned neighboring frames for better video deblurring.

Deblurring Video Restoration

Learning To Restore Hazy Video: A New Real-World Dataset and a New Method

no code implementations CVPR 2021 Xinyi Zhang, Hang Dong, Jinshan Pan, Chao Zhu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Fei Wang

On the other hand, the video dehazing algorithms, which can acquire more satisfying dehazing results by exploiting the temporal redundancy from neighborhood hazy frames, receive less attention due to the absence of the video dehazing datasets.

Image Dehazing

Mutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection

no code implementations21 Oct 2020 Ye He, Chao Zhu, Xu-Cheng Yin

These two branches are trained in a mutual-supervised way with full body annotations and visible body annotations, respectively.

Body Detection Occlusion Handling +1

Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud

1 code implementation7 Sep 2020 Chao Zhu, Teng Miao, Tongyu Xu, Tao Yang, Na Li

However, automatic stem-leaf segmentation of maize shoots from three-dimensional (3D) point clouds remains challenging, especially for new emerging leaves that are very close and wrapped together during the seedling stage.


Machine learning driven synthesis of few-layered WTe2

no code implementations10 Oct 2019 Manzhang Xu, Bijun Tang, Yuhao Lu, Chao Zhu, Lu Zheng, Jingyu Zhang, Nannan Han, Yuxi Guo, Jun Di, Pin Song, Yongmin He, Lixing Kang, Zhiyong Zhang, Wu Zhao, Cuntai Guan, Xuewen Wang, Zheng Liu

Reducing the lateral scale of two-dimensional (2D) materials to one-dimensional (1D) has attracted substantial research interest not only to achieve competitive electronic device applications but also for the exploration of fundamental physical properties.

BIG-bench Machine Learning

Semantic Bilinear Pooling for Fine-Grained Recognition

no code implementations3 Apr 2019 Xinjie Li, Chun Yang, Songlu Chen, Chao Zhu, Xu-Cheng Yin

Specifically, we design a generalized cross-entropy loss for the training of the proposed framework to fully exploit the semantic priors via considering the relevance between adjacent levels and enlarge the distance between samples of different coarse classes.

General Classification Multi-Label Learning

Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA

no code implementations31 Jul 2018 Junsong Wang, Qiuwen Lou, Xiaofan Zhang, Chao Zhu, Yonghua Lin, Deming Chen

To create such accelerators, we propose a design flow for accelerating the extremely low bit-width neural network (ELB-NN) in embedded FPGAs with hybrid quantization schemes.

Edge-computing Quantization

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