【今日CV 视觉论文速览】20 Nov 2018

今日CS.CV计算机视觉论文速览
Tue, 20 Nov 2018
Totally 114 papers

Daily Computer Vision Papers

[1] Title: OrthoSeg: A Deep Multimodal Convolutional Neural Network for Semantic Segmentation of Orthoimagery
Authors:Pankaj Bodani, Kumar Shreshtha, Shashikant Sharma
[2] Title: Event-Based Features Selection and Tracking from Intertwined Estimation of Velocity and Generative Contours
Authors:Laurent Dardelet, Sio-Hoi Ieng, Ryad Benosman
[3] Title: Novel approach to locate region of interest in mammograms for Breast cancer
Authors:BV Divyashree, Amarnath R, Naveen M, G Hemantha Kumar
[4] Title: Deeper Interpretability of Deep Networks
Authors:Tian Xu, Jiayu Zhan, Oliver G.B. Garrod, Philip H.S. Torr, Song-Chun Zhu, Robin A.A. Ince, Philippe G. Schyns
[5] Title: Event-based Gesture Recognition with Dynamic Background Suppression using Smartphone Computational Capabilities
Authors:Jean-Matthieu Maro, Ryad Benosman
[6] Title: DeepIR: A Deep Semantics Driven Framework for Image Retargeting
Authors:Jianxin Lin, Tiankuang Zhou, Zhibo Chen
[7] Title: Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
Authors:David Fuentes Jiménez, David Casillas Pérez, Daniel Pizarro Pérez, Toby Collins, Adrien Bartoli
[8] Title: Explicit Bias Discovery in Visual Question Answering Models
Authors:Varun Manjunatha, Nirat Saini, Larry S. Davis
[9] Title: Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Authors:Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis
[10] Title: A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions
Authors:Dimitrios Kollias, Stefanos Zafeiriou
[11] Title: Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
Authors:Dimitrios Kollias, Stefanos Zafeiriou
[12] Title: Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning
Authors:Ilke Demir, Ramesh Raskar
[13] Title: Handwriting Recognition of Historical Documents with few labeled data
Authors:Edgard Chammas, Chafic Mokbel, Laurence Likforman-Sulem
[14] Title: Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks
Authors:Anton S. Becker, Lukas Jendele, Ondrej Skopek, Nicole Berger, Soleen Ghafoor, Magda Marcon, Ender Konukoglu
[15] Title: Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model
Authors:Daniel C. Castro, Sebastian Nowozin
[16] Title: Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data
Authors:Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer
[17] Title: M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments
Authors:Tim Laibacher, Tillman Weyde, Sepehr Jalali
[18] Title: Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Authors:Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang
[19] Title: FD-GAN: Face-demorphing generative adversarial network for restoring accomplice’s facial image
Authors:Fei Peng, Le-bing Zhang, Min Long
[20] Title: Intention Oriented Image Captions with Guiding Objects
Authors:Yue Zheng, Yali Li, Shengjin Wang
[21] Title: Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks
Authors:Xin Zhang, Qian Wang, Toby Breckon, Ioannis Ivrissimtzis
[22] Title: Collaborative Dense SLAM
Authors:Louis Gallagher, John B. McDonald
[23] Title: SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint
Authors:Pavel Ostyakov, Roman Suvorov, Elizaveta Logacheva, Oleg Khomenko, Sergey I. Nikolenko
[24] Title: ATOM: Accurate Tracking by Overlap Maximization
Authors:Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
[25] Title: Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning
Authors:Xiao-Bo Jin, Guo-Sen Xie, Kai-Zhu Huang, Fang Zhao, Jianyu Miao
[26] Title: Weakly Supervised Soft-detection-based Aggregation Method for Image Retrieval
Authors:Jian Xu
[27] Title: Self-Referenced Deep Learning
Authors:Xu Lan, Xiatian Zhu, Shaogang Gong
[28] Title: Localisation via Deep Imagination: learn the features not the map
Authors:Jaime Spencer, Oscar Mendez, Richard Bowden, Simon Hadfield
[29] Title: Fine-grained Classification using Heterogeneous Web Data and Auxiliary Categories
Authors:Li Niu, Ashok Veeraraghavan, Ashu Sabharwal
[30] Title: iQIYI-VID: A Large Dataset for Multi-modal Person Identification
Authors:Yuanliu Liu, Peipei Shi, Bo Peng, He Yan, Yong Zhou, Bing Han, Yi Zheng, Chao Lin, Jianbin Jiang, Yin Fan, Tingwei Gao, Ganwen Wang, Jian Liu, Xiangju Lu, Danming Xie
[31] Title: CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification
Authors:Jiawei Liu, Zheng-Jun Zha, Hongtao Xie, Zhiwei Xiong, Yongdong Zhang
[32] Title: A Pretrained DenseNet Encoder for Brain Tumor Segmentation
Authors:Jean Stawiaski
[33] Title: High Order Neural Networks for Video Classification
Authors:Jie Shao, Kai Hu, Yixin Bao, Yining Lin, Xiangyang Xue
[34] Title: Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition
Authors:Rahma Fourati, Boudour Ammar, Javier Sanchez-Medina, Adel M. Alimi
[35] Title: Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Authors:Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
[36] Title: Fast Efficient Object Detection Using Selective Attention
Authors:Shivanthan Yohanandan, Andy Song, Adrian G. Dyer, Angela Faragasso, Subhrajit Roy, Dacheng Tao
[37] Title: Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling
Authors:Peng Zhang, Shujian Yu, Jiamiao Xu, Xinge You, Xiubao Jiang, Xiao-Yuan Jing, Dacheng Tao
[38] Title: FotonNet: A HW-Efficient Object Detection System Using 3D-Depth Segmentation and 2D-DNN Classifier
Authors:Gurjeet Singh, Sun Miao, Shi Shi, Patrick Chiang
[39] Title: DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Authors:Yifan Peng, Shazia Dharssi, Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu
[40] Title: A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols
Authors:Yushan Feng, Huitong Pan, Craig Meyer, Xue Feng
[41] Title: Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video
Authors:Seunghwan Cha, James Ainooson, Maithilee Kunda
[42] Title: Re-Identification with Consistent Attentive Siamese Networks
Authors:Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke
[43] Title: Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks
Authors:Chenchen Li, Jialin Wang, Hongwei Wang, Miao Zhao, Wenjie Li, Xiaotie Deng
[44] Title: Reducing Visual Confusion with Discriminative Attention
Authors:Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh
[45] Title: Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
Authors:Honglun Zhang, Wenqing Chen, Jidong Tian, Yongkun Wang, Yaohui Jin
[46] Title: Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection
Authors:Ziqi Zhou, Zheng Wang, Huchuan Lu, Song Wang, Meijun Sun
[47] Title: Multi-scale 3D Convolution Network for Video Based Person Re-Identification
Authors:Jianing Li, Shiliang Zhang, Tiejun Huang
[48] Title: Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation
Authors:Amirreza Farnoosh, Sarah Ostadabbas
[49] Title: Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
Authors:Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
[50] Title: An Efficient Transfer Learning Technique by Using Final Fully-Connected Layer Output Features of Deep Networks
Authors:Tasfia Shermin, Manzur Murshed, Guojun Lu, Shyh Wei Teng

Papers from arxiv.org

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Daily Computer Vision Papers

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