Search Results - "Cheng, Ming Ming"

STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation by Wei, Yunchao, Liang, Xiaodan, Chen, Yunpeng, Shen, Xiaohui, Cheng, Ming-Ming, Feng, Jiashi, Zhao, Yao, Yan, Shuicheng

“…Recently, significant improvement has been made on semantic object segmentation due to the development of deep convolutional neural networks (DCNNs). Training…”
Get full text

Richer Convolutional Features for Edge Detection by Liu, Yun, Cheng, Ming-Ming, Hu, Xiaowei, Bian, Jia-Wang, Zhang, Le, Bai, Xiang, Tang, Jinhui

“…Edge detection is a fundamental problem in computer vision. Recently, convolutional neural networks (CNNs) have pushed forward this field significantly…”
Get full text

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization by Jiang, Peng-Tao, Zhang, Chang-Bin, Hou, Qibin, Cheng, Ming-Ming, Wei, Yunchao

“…The class activation maps are generated from the final convolutional layer of CNN. They can highlight discriminative object regions for the class of interest…”
Get full text

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition by Hou, Qibin, Jiang, Zihang, Yuan, Li, Cheng, Ming-Ming, Yan, Shuicheng, Feng, Jiashi

“…In this paper, we present Vision Permutator, a conceptually simple and data efficient MLP-like architecture for visual recognition. By realizing the importance…”
Get full text

Struck: Structured Output Tracking with Kernels by Hare, Sam, Golodetz, Stuart, Saffari, Amir, Vineet, Vibhav, Ming-Ming Cheng, Hicks, Stephen L., Torr, Philip H. S.

“…Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a…”
Get full text

Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image by Xu, Jun, Huang, Yuan, Cheng, Ming-Ming, Liu, Li, Zhu, Fan, Xu, Zhou, Shao, Ling

“…Supervised deep networks have achieved promising performance on image denoising, by learning image priors and noise statistics on plenty pairs of noisy and…”
Get full text

Salient Object Detection: A Benchmark by Borji, Ali, Ming-Ming Cheng, Huaizu Jiang, Jia Li

“…We extensively compare, qualitatively and quantitatively, 41 state-of-the-art models (29 salient object detection, 10 fixation prediction, 1 objectness, and 1…”
Get full text

Review of Visual Saliency Detection With Comprehensive Information by Cong, Runmin, Lei, Jianjun, Fu, Huazhu, Cheng, Ming-Ming, Lin, Weisi, Huang, Qingming

“…The visual saliency detection model simulates the human visual system to perceive the scene and has been widely used in many vision tasks. With the development…”
Get full text

Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions by Yang, Jufeng, She, Dongyu, Sun, Ming, Cheng, Ming-Ming, Rosin, Paul L., Wang, Liang

“…Automatic assessment of sentiment from visual content has gained considerable attention with the increasing tendency of expressing opinions via images and…”
Get full text

Revisiting Video Saliency Prediction in the Deep Learning Era by Wang, Wenguan, Shen, Jianbing, Xie, Jianwen, Cheng, Ming-Ming, Ling, Haibin, Borji, Ali

“…Predicting where people look in static scenes, a.k.a visual saliency, has received significant research interest recently. However, relatively less effort has…”
Get full text

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks by Fan, Deng-Ping, Lin, Zheng, Zhang, Zhao, Zhu, Menglong, Cheng, Ming-Ming

“…The use of RGB-D information for salient object detection (SOD) has been extensively explored in recent years. However, relatively few efforts have been put…”
Get full text

Low-Light Image and Video Enhancement Using Deep Learning: A Survey by Li, Chongyi, Guo, Chunle, Han, Linghao, Jiang, Jun, Cheng, Ming-Ming, Gu, Jinwei, Loy, Chen Change

“…Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. Recent…”
Get full text

Salient object detection: A survey by Borji, Ali, Cheng, Ming-Ming, Hou, Qibin, Jiang, Huaizu, Li, Jia

“…Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision…”
Get full text

Attention mechanisms in computer vision: A survey by Guo, Meng-Hao, Xu, Tian-Xing, Liu, Jiang-Jiang, Liu, Zheng-Ning, Jiang, Peng-Tao, Mu, Tai-Jiang, Zhang, Song-Hai, Martin, Ralph R., Cheng, Ming-Ming, Hu, Shi-Min

“…Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer…”
Get full text

Deeply Supervised Salient Object Detection with Short Connections by Hou, Qibin, Cheng, Ming-Ming, Hu, Xiaowei, Borji, Ali, Tu, Zhuowen, Torr, Philip H. S.

“…Recent progress on salient object detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs). Semantic…”
Get full text

Unsupervised Scale-Consistent Depth Learning from Video by Bian, Jia-Wang, Zhan, Huangying, Wang, Naiyan, Li, Zhichao, Zhang, Le, Shen, Chunhua, Cheng, Ming-Ming, Reid, Ian

“…We propose a monocular depth estimation method  SC-Depth , which requires only unlabelled videos for training and enables the scale-consistent prediction at…”
Get full text

RGB-D salient object detection: A survey by Zhou, Tao, Fan, Deng-Ping, Cheng, Ming-Ming, Shen, Jianbing, Shao, Ling

“…Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various…”
Get full text

Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition by Hui, Le, Cheng, Mingmei, Xie, Jin, Yang, Jian, Cheng, Ming-Ming

“…Point cloud based retrieval for place recognition is still a challenging problem since the drastic appearance changes of scenes due to seasonal or artificial…”
Get full text

Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation by Chen, Lin-Zhuo, Lin, Zheng, Wang, Ziqin, Yang, Yong-Liang, Cheng, Ming-Ming

“…3D spatial information is known to be beneficial to the semantic segmentation task. Most existing methods take 3D spatial data as an additional input, leading…”
Get full text

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images by Zhang, Qijian, Cong, Runmin, Li, Chongyi, Cheng, Ming-Ming, Fang, Yuming, Cao, Xiaochun, Zhao, Yao, Kwong, Sam

“…Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images…”
Get full text