Search Results for author: Kuiyuan Yang

Found 19 papers, 12 papers with code

Global Aggregation then Local Distribution for Scene Parsing

1 code implementation28 Jul 2021 Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang

Modelling long-range contextual relationships is critical for pixel-wise prediction tasks such as semantic segmentation.

Scene Parsing Semantic Segmentation

BoundarySqueeze: Image Segmentation as Boundary Squeezing

1 code implementation25 May 2021 Hao He, Xiangtai Li, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong, ZhengJun Zha, Lubin Weng

From this perspective, we propose \textbf{Boundary Squeeze} module: a novel and efficient module that squeezes the object boundary from both inner and outer directions which leads to precise mask representation.

Instance Segmentation Semantic Segmentation

Towards Efficient Scene Understanding via Squeeze Reasoning

1 code implementation6 Nov 2020 Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin

Instead of propagating information on the spatial map, we first learn to squeeze the input feature into a channel-wise global vector and perform reasoning within the single vector where the computation cost can be significantly reduced.

Instance Segmentation Object Detection +2

Global Aggregation then Local Distribution in Fully Convolutional Networks

2 code implementations16 Sep 2019 Xiangtai Li, Li Zhang, Ansheng You, Maoke Yang, Kuiyuan Yang, Yunhai Tong

GALD is end-to-end trainable and can be easily plugged into existing FCNs with various global aggregation modules for a wide range of vision tasks, and consistently improves the performance of state-of-the-art object detection and instance segmentation approaches.

Instance Segmentation Object Detection +2

Dual Graph Convolutional Network for Semantic Segmentation

2 code implementations13 Sep 2019 Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr

Exploiting long-range contextual information is key for pixel-wise prediction tasks such as semantic segmentation.

Semantic Segmentation

Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

2 code implementations9 Sep 2019 Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang

However, disparity is just a byproduct of a matching process modeled by cost volume, while indirectly learning cost volume driven by disparity regression is prone to overfitting since the cost volume is under constrained.

Disparity Estimation Stereo Matching +1

GFF: Gated Fully Fusion for Semantic Segmentation

2 code implementations3 Apr 2019 Xiangtai Li, Houlong Zhao, Lei Han, Yunhai Tong, Kuiyuan Yang

Semantic segmentation generates comprehensive understanding of scenes through densely predicting the category for each pixel.

Scene Understanding Semantic Segmentation

DenseASPP for Semantic Segmentation in Street Scenes

1 code implementation CVPR 2018 Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang

To this end, we propose Densely connected Atrous Spatial Pyramid Pooling (DenseASPP), which connects a set of atrous convolutional layers in a dense way, such that it generates multi-scale features that not only cover a larger scale range, but also cover that scale range densely, without significantly increasing the model size.

Autonomous Driving Scene Understanding +1

Automatic Dataset Augmentation

no code implementations28 Aug 2017 Yalong Bai, Kuiyuan Yang, Tao Mei, Wei-Ying Ma, Tiejun Zhao

Large scale image dataset and deep convolutional neural network (DCNN) are two primary driving forces for the rapid progress made in generic object recognition tasks in recent years.

Object Recognition

Feature Incay for Representation Regularization

no code implementations ICLR 2018 Yuhui Yuan, Kuiyuan Yang, Chao Zhang

Thus, we propose feature incay to also regularize representation learning, which favors feature vectors with large norm when the samples can be correctly classified.

Multi-class Classification Representation Learning

Hard-Aware Deeply Cascaded Embedding

1 code implementation ICCV 2017 Yuhui Yuan, Kuiyuan Yang, Chao Zhang

This motivates us to ensemble a set of models with different complexities in cascaded manner and mine hard examples adaptively, a sample is judged by a series of models with increasing complexities and only updates models that consider the sample as a hard case.

Metric Learning

You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images

no code implementations CVPR 2016 Chuang Gan, Ting Yao, Kuiyuan Yang, Yi Yang, Tao Mei

The Web images are then filtered by the learnt network and the selected images are additionally fed into the network to enhance the architecture and further trim the videos.

Action Recognition Event Detection

Visualizing and Comparing Convolutional Neural Networks

no code implementations20 Dec 2014 Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao, Yong Rui

Convolutional Neural Networks (CNNs) have achieved comparable error rates to well-trained human on ILSVRC2014 image classification task.

Classification General Classification +1

The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

no code implementations CVPR 2015 Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang

Our pipeline integrates three types of attention: the bottom-up attention that propose candidate patches, the object-level top-down attention that selects relevant patches to a certain object, and the part-level top-down attention that localizes discriminative parts.

Classification Fine-Grained Image Classification +1

Scale-Invariant Convolutional Neural Networks

no code implementations24 Nov 2014 Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang

Even though convolutional neural networks (CNN) has achieved near-human performance in various computer vision tasks, its ability to tolerate scale variations is limited.

Classification Data Augmentation +1

Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data

no code implementations17 Dec 2013 Yalong Bai, Kuiyuan Yang, Wei Yu, Wei-Ying Ma, Tiejun Zhao

Image retrieval refers to finding relevant images from an image database for a query, which is considered difficult for the gap between low-level representation of images and high-level representation of queries.

Image Retrieval

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