Search Results for author: Zhijun Zhang

Found 8 papers, 2 papers with code

High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation

1 code implementation12 Sep 2022 Shilv Cai, Zhijun Zhang, Liqun Chen, Luxin Yan, Sheng Zhong, Xu Zou

We implement the IAT in a mathematical invertible manner on a single rate Invertible Neural Network (INN) based model and the quality level (QLevel) would be fed into the IAT to generate scaling and bias tensors.

Image Compression

Effective Actor-centric Human-object Interaction Detection

no code implementations24 Feb 2022 Kunlun Xu, Zhimin Li, Zhijun Zhang, Leizhen Dong, Wenhui Xu, Luxin Yan, Sheng Zhong, Xu Zou

Moreover, we also use an actor branch to get interaction prediction of the actor and propose a novel composition strategy based on center-point indexing to generate the final HOI prediction.

Human-Object Interaction Detection

Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing

no code implementations1 Dec 2021 Yanjie Wang, Xu Zou, Zhijun Zhang, Wenhui Xu, Liqun Chen, Sheng Zhong, Luxin Yan, Guodong Wang

Detecting oriented objects along with estimating their rotation information is one crucial step for analyzing remote sensing images.

object-detection Object Detection +1

A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification

no code implementations25 Oct 2019 Jie He, Tao Chen, Zhijun Zhang

Single-hidden layer feed forward neural networks (SLFNs) are widely used in pattern classification problems, but a huge bottleneck encountered is the slow speed and poor performance of the traditional iterative gradient-based learning algorithms.

General Classification Multi-class Classification

Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration

no code implementations1 Sep 2017 Yi Chang, Luxin Yan, Houzhang Fang, Sheng Zhong, Zhijun Zhang

To overcome these limitations, in this work, we propose a unified low-rank tensor recovery model for comprehensive HSI restoration tasks, in which non-local similarity between spectral-spatial cubic and spectral correlation are simultaneously captured by 3-order tensors.

Deblurring Denoising +2

Incorporating Depth into both CNN and CRF for Indoor Semantic Segmentation

no code implementations21 May 2017 Jindong Jiang, Zhijun Zhang, Yongqian Huang, Lunan Zheng

To improve segmentation performance, a novel neural network architecture (termed DFCN-DCRF) is proposed, which combines an RGB-D fully convolutional neural network (DFCN) with a depth-sensitive fully-connected conditional random field (DCRF).

Semantic Segmentation

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