【今日CS 视觉论文速览】 9 Jan 2019

今日CS.CV计算机视觉论文速览
Wed, 9 Jan 2019
Totally 28 papers

【今日CS 视觉论文速览】 9 Jan 2019

Interesting:


Daily Computer Vision Papers

[1] Title: Panoptic Feature Pyramid Networks
Authors:Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár
[2] Title: Unseen Object Segmentation in Videos via Transferable Representations
Authors:Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang
[3] Title: Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks
Authors:Joseph L. Betthauser, John T. Krall, Rahul R. Kaliki, Matthew S. Fifer, Nitish V. Thakor
[4] Title: Richer and Deeper Supervision Network for Salient Object Detection
Authors:Sen Jia, Neil D. B. Bruce
[5] Title: Morphological Networks for Image De-raining
Authors:Ranjan Mondal, Pulak Purkait, Sanchayan Santra, Bhabatosh Chanda
[6] Title: GILT: Generating Images from Long Text
Authors:Ori Bar El, Ori Licht, Netanel Yosephian
[7] Title: Robust and High Performance Face Detector
Authors:Yundong Zhang, Xiang Xu, Xiaotao Liu
[8] Title: Unpaired Pose Guided Human Image Generation
Authors:Xu Chen, Jie Song, Otmar Hilliges
[9] Title: 3D Object Detection Using Scale Invariant and Feature Reweighting Networks
Authors:Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang
[10] Title: Interpretable BoW Networks for Adversarial Example Detection
Authors:Krishna Kanth Nakka, Mathieu Salzmann
[11] Title: FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
Authors:Umur Aybars Ciftci, Ilke Demir
[12] Title: Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
Authors:Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang
[13] Title: Ensembles of feedforward-designed convolutional neural networks
Authors:Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo
[14] Title: Spatial-Winograd Pruning Enabling Sparse Winograd Convolution
Authors:Jiecao Yu, Jongsoo Park, Maxim Naumov
[15] Title: Dynamics are Important for the Recognition of Equine Pain in Video
Authors:Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström
[16] Title: All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks
Authors:Stephen Phillips, Kostas Daniilidis
[17] Title: Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
Authors:Chiyu “Max” Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner
[18] Title: Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols
Authors:Yunxi Xiong, Yuankai Huo, Jiachen Wang, L. Taylor Davis, Maureen McHugo, Bennett A. Landman
[19] Title: Spherical CNNs on Unstructured Grids
Authors:Chiyu “Max” Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Niessner
[20] Title: Self-Supervised Learning from Web Data for Multimodal Retrieval
Authors:Raul Gomez, Lluis Gomez, Jaume Gibert, Dimosthenis Karatzas
[21] Title: Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
Authors:Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso
[22] Title: Truncated nuclear norm regularization for low-rank tensor completion
Authors:Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin
[23] Title: Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network
Authors:Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan
[24] Title: Learning with Collaborative Neural Network Group by Reflection
Authors:Zehua Cheng, Liyao Gao
[25] Title: Interpretable CNNs
Authors:Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu
[26] Title: Sparse One-Time Grab Sampling of Inliers
Authors:Maryam Jaberi, Marianna Pensky, Hassan Foroosh
[27] Title: FIGR: Few-shot Image Generation with Reptile
Authors:Louis Clouâtre, Marc Demers
[28] Title: On the Dimensionality of Embeddings for Sparse Features and Data
Authors:Maxim Naumov

Papers from arxiv.org

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【今日CS 视觉论文速览】 9 Jan 2019
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