Explanipedia

Additive manufacturing of Mn-Zn ferrite planar inductors with CaO–SiO2 modified slurries: A magneto-thermal optimization approach Open

Wenjie Zhang, Qian Zhu, Hao Tan, Jiquan Yang, Jianping Shi · 2025

Traditional fabrication methods for Mn-Zn ferrite powders, such as compression molding, constrain the design flexibility of customized soft magnetic cores. In this study, a multi-nozzle slurry-based printing technique is applied to commerc…

Screening for anti-influenza virus compounds from traditional Mongolian medicine by GFP-based reporter virus Open

Maoshun Nie, Xiaohe Li, Sen Zhang, Dandan Zeng, Yurong Cai , et al. · 2024

Introduction Screening for effective antiviral compounds from traditional Mongolian medicine not only aids in the research of antiviral mechanisms of traditional medicines, but is also of significant importance for the development of new a…

MMDetection: Open MMLab Detection Toolbox and Benchmark Open

Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong , et al. · 2024

We present MMDetection, an object detection toolbox that contains a rich set of object detection and instance segmentation methods as well as related components and modules. The toolbox started from a codebase of MMDet team who won the det…

Delving Into the Devils of Bird’s-Eye-View Perception: A Review, Evaluation and Recipe Open

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu , et al. · 2023

Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending and drawing extensive attention both from industry and academia. Conventional approaches for most autonomous driving algorithms perform detection, …

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection Open

Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo , et al. · 2022

3D object detection is receiving increasing attention from both industry and academia thanks to its wide applications in various fields. In this paper, we propose Point-Voxel Region-based Convolution Neural Networks (PV-RCNNs) for 3D objec…

Fe-assisted epitaxial growth of 4-inch single-crystal transition-metal dichalcogenides on c-plane sapphire without miscut angle Open

Hui Li, Junbo Yang, Xiaohui Li, Cheng Mo, Wang Feng , et al. · 2022

Epitaxial growth and controllable doping of wafer-scale single-crystal transition-metal dichalcogenides (TMDCs) are two central tasks for extending Moore's law beyond silicon. However, despite considerable efforts, addressing such crucial …

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe Open

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu , et al. · 2022

Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending and drawing extensive attention both from industry and academia. Conventional approaches for most autonomous driving algorithms perform detection, …

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot Open

Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu , et al. · 2022

Equipped with a wide span of sensors, predominant autonomous driving solutions are becoming more modular-oriented for safe system design. Though these sensors have laid a solid foundation, most massive-production solutions up to date still…

Uncertainty-aware consistency regularization for cross-domain semantic segmentation Open

Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Guangliang Cheng, Xuequan Lu , et al. · 2022

DMT: Dynamic mutual training for semi-supervised learning Open

Zhengyang Feng, Qianyu Zhou, Qiqi Gu, Xin Tan, Guangliang Cheng , et al. · 2022

Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling Open

Yan Xu, Junyi Lin, Jianping Shi, Guofeng Zhang, Xiaogang Wang , et al. · 2022

The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans. However, given the complex scenarios and the low-resolution LiDAR, finding reliable structures for identifying corresp…

BMEFIQA: Blind Quality Assessment of Multi-Exposure Fused Images Based on Several Characteristics Open

Jianping Shi, Hong Li, Caiming Zhong, Zhouyan He, Yeling Ma · 2022

A multi-exposure fused (MEF) image is generated by multiple images with different exposure levels, but the transformation process will inevitably introduce various distortions. Therefore, it is worth discussing how to evaluate the visual q…

Correction to: AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach Open

Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Yuexin Ma , et al. · 2022

AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach Open

Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Yuexin Ma , et al. · 2021

Recently, records on stereo matching benchmarks are constantly broken by end-to-end disparity networks. However, the domain adaptation ability of these deep models is quite limited. Addressing such problem, we present a novel domain-adapti…

PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation Open

Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng , et al. · 2021

Cross-domain object detection and semantic segmentation have witnessed impressive progress recently. Existing approaches mainly consider the domain shift resulting from external environments including the changes of background, illuminatio…

Context-Aware Mixup for Domain Adaptive Semantic Segmentation Open

Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Jiangmiao Pang, Guangliang Cheng , et al. · 2021

Unsupervised domain adaptation (UDA) aims to adapt a model of the labeled source domain to an unlabeled target domain. Existing UDA-based semantic segmentation approaches always reduce the domain shifts in pixel level, feature level, and o…

Self-Adversarial Disentangling for Specific Domain Adaptation Open

Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Zhengyang Feng, Guangliang Cheng , et al. · 2021

Domain adaptation aims to bridge the domain shifts between the source and the target domain. These shifts may span different dimensions such as fog, rainfall, etc. However, recent methods typically do not consider explicit prior knowledge …

Improving Video Instance Segmentation via Temporal Pyramid Routing Open

Xiangtai Li, Hao He, Henghui Ding, Kuiyuan Yang, Guangliang Cheng , et al. · 2021

Video Instance Segmentation (VIS) is a new and inherently multi-task problem, which aims to detect, segment, and track each instance in a video sequence. Existing approaches are mainly based on single-frame features or single-scale feature…

BoundarySqueeze: Image Segmentation as Boundary Squeezing Open

Hao He, Xiangtai Li, Kuiyuan Yang, Guangliang Cheng, Jianping Shi , et al. · 2021

This paper proposes a novel method for high-quality image segmentation of both objects and scenes. Inspired by the dilation and erosion operations in morphological image processing techniques, the pixel-level image segmentation problems ar…

Enhanced Boundary Learning for Glass-like Object Segmentation Open

Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong , et al. · 2021

Glass-like objects such as windows, bottles, and mirrors exist widely in the real world. Sensing these objects has many applications, including robot navigation and grasping. However, this task is very challenging due to the arbitrary scen…

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation Open

Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng , et al. · 2021

Aerial Image Segmentation is a particular semantic segmentation problem and has several challenging characteristics that general semantic segmentation does not have. There are two critical issues: The one is an extremely foreground-backgro…

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection Open

Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo , et al. · 2021

3D object detection is receiving increasing attention from both industry and academia thanks to its wide applications in various fields. In this paper, we propose Point-Voxel Region-based Convolution Neural Networks (PV-RCNNs) for 3D objec…

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds Open

Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin · 2020

Recent years have witnessed the rapid progress of perception algorithms on top of LiDAR, a widely adopted sensor for autonomous driving systems. These LiDAR-based solutions are typically data hungry, requiring a large amount of data to be …

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks Open

Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi , et al. · 2020

Recent learning-based LiDAR odometry methods have demonstrated their competitiveness. However, most methods still face two substantial challenges: 1) the 2D projection representation of LiDAR data cannot effectively encode 3D structures fr…

Channel-wise Alignment for Adaptive Object Detection Open

Hang Yang, Shan Jiang, Xinge Zhu, Ming-Yang Huang, Zhiqiang Shen , et al. · 2020

Generic object detection has been immensely promoted by the development of deep convolutional neural networks in the past decade. However, in the domain shift circumstance, the changes in weather, illumination, etc., often cause domain gap…

The Effect of a Fly Ash-Based Soil Conditioner on Corn and Wheat Yield and Risk Analysis of Heavy Metal Contamination Open

Yanjun Ou, Shuhua Ma, Xiao Zhou, Xiaohui Wang, Jianping Shi , et al. · 2020

The utilization of coal fly ash (CFA) as a soil conditioner has been a research hotspot in recent years. In this paper, the continuity and stability of the yield-increasing effect of a fly ash-based soil conditioner were investigated throu…

Understanding the wiring evolution in differentiable neural architecture search Open

Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi , et al. · 2020

Controversy exists on whether differentiable neural architecture search methods discover wiring topology effectively. To understand how wiring topology evolves, we study the underlying mechanism of several existing differentiable NAS frame…

Understanding the wiring evolution in differentiable neural architecture\n search Open

Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi , et al. · 2020

Controversy exists on whether differentiable neural architecture search\nmethods discover wiring topology effectively. To understand how wiring topology\nevolves, we study the underlying mechanism of several existing differentiable\nNAS fr…

TSIT: A Simple and Versatile Framework for Image-to-Image Translation Open

Liming Jiang, Changxu Zhang, Ming-Yang Huang, Chunxiao Liu, Jianping Shi , et al. · 2020

We introduce a simple and versatile framework for image-to-image translation. We unearth the importance of normalization layers, and provide a carefully designed two-stream generative model with newly proposed feature transformations in a …

Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization Open

Haibao Yu, Qi Han, Jianbo Li, Jianping Shi, Guangliang Cheng , et al. · 2020

Emergent hardwares can support mixed precision CNN models inference that assign different bitwidths for different layers. Learning to find an optimal mixed precision model that can preserve accuracy and satisfy the specific constraints on …

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