Search Results for author: Jiayuan Fan

Found 12 papers, 5 papers with code

A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction

no code implementations17 Jan 2023 Chongshan Lu, Fukun Yin, Xin Chen, Tao Chen, Gang Yu, Jiayuan Fan

Meanwhile, a new benchmark for several outdoor NeRF-based tasks is established, such as novel view synthesis, surface reconstruction, and multi-modal NeRF.

Novel View Synthesis Surface Reconstruction

Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation

no code implementations15 Nov 2022 Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li

To enhance the model, adaptability between domains and reduce the computational cost when deploying the ensemble model, we propose a novel framework, namely Instance aware Model Ensemble With Distillation, IMED, which fuses multiple UDA component models adaptively according to different instances and distills these components into a small model.

Knowledge Distillation Unsupervised Domain Adaptation

Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification

1 code implementation2 Jul 2022 Bo Zhang, Jiakang Yuan, Baopu Li, Tao Chen, Jiayuan Fan, Botian Shi

Few-shot fine-grained learning aims to classify a query image into one of a set of support categories with fine-grained differences.

Fine-Grained Image Classification

$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search

1 code implementation3 Mar 2022 Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang

Neural Architecture Search~(NAS) has attracted increasingly more attention in recent years because of its capability to design deep neural networks automatically.

Neural Architecture Search

b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search

1 code implementation CVPR 2022 Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang

Neural Architecture Search (NAS) has attracted increasingly more attention in recent years because of its capability to design deep neural network automatically.

Neural Architecture Search

Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining

1 code implementation30 Nov 2021 Yongbin Liao, Hongyuan Zhu, Yanggang Zhang, Chuangguan Ye, Tao Chen, Jiayuan Fan

For stage two, the bounding box proposals with SPCR are grouped into some subsets, and the instance masks are mined inside each subset with a novel semantic propagation module and a property consistency graph module.

Instance Segmentation Semantic Segmentation

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

no code implementations30 Aug 2021 Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan

The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.

Fine-Grained Image Classification Semantic correspondence +2

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

no code implementations30 Aug 2021 Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

object-detection Object Detection +1

EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation

no code implementations16 Mar 2021 Qihang Yang, Tao Chen, Jiayuan Fan, Ye Lu, Chongyan Zuo, Qinghua Chi

Due to real-time image semantic segmentation needs on power constrained edge devices, there has been an increasing desire to design lightweight semantic segmentation neural network, to simultaneously reduce computational cost and increase inference speed.

Semantic Segmentation

PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection

no code implementations1 Sep 2020 Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He

Vision-based dynamic pedestrian intrusion detection (PID), judging whether pedestrians intrude an area-of-interest (AoI) by a moving camera, is an important task in mobile surveillance.

Intrusion Detection

Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance

1 code implementation7 Apr 2020 Jingjing Chen, Jichao Zhang, Enver Sangineto, Jiayuan Fan, Tao Chen, Nicu Sebe

In this paper, we propose to alleviate these problems by means of a novel gaze redirection framework which exploits both a numerical and a pictorial direction guidance, jointly with a coarse-to-fine learning strategy.

gaze redirection Image Generation

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