【今日CS 视觉论文速览】Wed, 16 Jan 2019
今日CS.CV计算机视觉论文速览
Wed, 16 Jan 2019
Totally 26 papers
Interesting:
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预测太阳辐射强度,利用安装在屋顶的时差广角摄像来直接估计和预测太阳辐射,在提高精度的同时实现了提前4小时的短时预报。(from CMU)
装置图:
两个数据集下的一些结果,热力图是网络捕获的流场:
天空数据集:
Golden, Colorado Dataset from 太阳辐射研究实验室
Tuscan, Arizona Dataset from 亚利桑那大学 MMT观测站 -
解释时尚推荐系统背后的原理分析,提出了一种定量化的方法来分析每一种特征对于推荐分数的影响,利用了人类理解的特征组合来表示每一种图中的特征,提出了个体特征影响值的定量评定手段。(from 日本东北大学)
抽取出纹理和主要色系:
系统得到的最好(上)和最坏的(下)搭配:
时尚搭配数据集:Polyvore -
基于关键帧抽取和特征融合的快速手势识别,(from 特伦托大学 意大利)
code:https://github.com/Ha0Tang/HandGestureRecognition
dataset:
Northwestern University Hand Gesture
Cambridge Hand Gesture Data set
Kinect Gesture Data Set
Microsoft Kinect and Leap Motion Dataset<—http://lttm.dei.unipd.it/downloads/gesture/
Creative Senz3D Dataset
LaRED
IBM DVS128 Gesture Dataset
Marcel
脸手数据集
帝国理工计算机视觉学习实验室数据集汇总
手势识别研究
一个相关比赛
以及额外的数据集 paper
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微表情数据集:from paper
Polikovskys dataset [21], USF-HD [22], SMIC [23], CASME [24], CASME II [19], CASME2 [25] and SAMM [26])
FER+ 表情数据库
国际表情识别大赛, AFEW 数据集, ref code, 2018一些相关挑战赛
cv数据集汇总 -
基于FPGA的深度学习加速综述,(from 中科大)
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预测体积与表面积,基于掩膜的方法利用当个相机椭圆柱型的火腿进行体积和表面积的测量。(厦门大学马来西亚分校)
Daily Computer Vision Papers
[1] Title: Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
Authors:Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen
[2] Title: Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning
Authors:Y.S. Gan, Sze-Teng Liong, Yen-Chang Huang
[3] Title: Early Salient Region Selection Does Not Drive Rapid Visual Categorization
Authors:John K. Tsotsos, Iuliia Kotseruba, Calden Wloka
[4] Title: A deep learning approach to solar-irradiance forecasting in sky-videos
Authors:Talha A. Siddiqui, Samarth Bharadwaj, Shivkumar Kalyanaraman
[5] Title: Feature Boosting Network For 3D Pose Estimation
Authors:Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot
[6] Title: Toward Explainable Fashion Recommendation
Authors:Pongsate Tangseng, Takayuki Okatani
[7] Title: Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
Authors:Felix M. Riese, Sina Keller
[8] Title: DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Authors:Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
[9] Title: URNet : User-Resizable Residual Networks with Conditional Gating Module
Authors:Simyung Chang, Sang-ho Lee, Nojun Kwak
[10] Title: Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
Authors:Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao, Xiaoyi Feng, Guoying Zhao
[11] Title: SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells
Authors:Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong
[12] Title: Resampling detection of recompressed images via dual-stream convolutional neural network
Authors:Antao Zhou, Gang Cao, Xianglin Huang, Gege Song, Lifang Yang
[13] Title: Multi-modal Ensemble Classification for Generalized Zero Shot Learning
Authors:Rafael Felix, Michele Sasdelli, Ian Reid, Gustavo Carneiro
[14] Title: Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Authors:Hao Tang, Hong Liu, Wei Xiao, Nicu Sebe
[15] Title: Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
Authors:Timo Kohlberger, Yun Liu, Melissa Moran, Po-Hsuan (Cameron)Chen, Trissia Brown, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe
[16] Title: Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Authors:Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe
[17] Title: AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
Authors:Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo
[18] Title: Self-Supervised Deep Active Accelerated MRI
Authors:Kyong Hwan Jin, Michael Unser, Kwang Moo Yi
[19] Title: Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning
Authors:Yi Zhen, Hang Chen, Xu Zhang, Meng Liu, Xin Meng, Jian Zhang, Jiantao Pu
[20] Title: A Survey of FPGA Based Deep Learning Accelerators: Challenges and Opportunities
Authors:Teng Wang, Chao Wang, Xuehai Zhou, Huaping Chen
[21] Title: Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
Authors:Yuanyuan Zhang, Zi-Rui Wang, Jun Du
[22] Title: Electrical Impedance Tomography based on Genetic Algorithm
Authors:Mingyong Zhou
[23] Title: The Limitations of Adversarial Training and the Blind-Spot Attack
Authors:Huan Zhang, Hongge Chen, Zhao Song, Duane Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
[24] Title: Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
Authors:Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomas E. Ward
[25] Title: Towards Personalized Management of Type B Aortic Dissection Using STENT: a STandard cta database with annotation of the ENtire aorta and True-false lumen
Authors:Jianning Li
[26] Title: XNet: GAN Latent Space Constraints
Authors:Omry Sendik, Dani Lischinski, Daniel CohenOr