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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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Latest Published Articles:
Computer Vision and Pattern Recognition
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πŸ—’ Learning Human Optical Flow
πŸ‘₯ Anurag Ranjan, Javier Romero, Michael J. Black
πŸ“— PDF


πŸ—’ GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
πŸ‘₯ Zhilin Yang, Jake, Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
πŸ“— PDF


πŸ—’ Interactive Classification for Deep Learning Interpretation
πŸ‘₯ Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
πŸ“— PDF


πŸ—’ HGR-Net: A Two-stage Convolutional Neural Network for Hand Gesture Segmentation and Recognition
πŸ‘₯ Amirhossein Dadashzadeh, Alireza Tavakoli Targhi, Maryam Tahmasbi
πŸ“— PDF


πŸ—’ Grounded Textual Entailment
πŸ‘₯ Hoa Trong Vu, Claudio Greco, Aliia Erofeeva, Somayeh Jafaritazehjan, Guido Linders, Marc Tanti, Alberto Testoni, Raffaella Bernardi, Albert Gatt
πŸ“— PDF


πŸ—’ VoxCeleb2: Deep Speaker Recognition
πŸ‘₯ Joon Son Chung, Arsha Nagrani, Andrew Zisserman
πŸ“— PDF


πŸ—’ DynSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
πŸ‘₯ Berta BescΓ³s, JosΓ© M. FΓ‘cil, Javier Civera, JosΓ© Neira
πŸ“— PDF


πŸ—’ From Self-ception to Image Self-ception: A method to represent an image with its own approximations
πŸ‘₯ Hamed Shah-Hosseini
πŸ“— PDF


πŸ—’ Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
πŸ‘₯ Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
πŸ“— PDF


πŸ—’ Tract orientation mapping for bundle-specific tractography
πŸ‘₯ Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein
πŸ“— PDF


πŸ—’ Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
πŸ‘₯ Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy
πŸ“— PDF


πŸ—’ Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
πŸ‘₯ Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li
πŸ“— PDF


πŸ—’ Cardiac Motion Scoring with Segment- and Subject-level Non-Local Modeling
πŸ‘₯ Wufeng Xue, Gary Brahm, Stephanie Leung, Ogla Shmuilovich, Shuo Li
πŸ“— PDF


πŸ—’ Correlation Tracking via Robust Region Proposals
πŸ‘₯ Yuqi Han, Jinghong Nan, Zengshuo Zhang, Jingjing Wang, Baojun Zhao
πŸ“— PDF


πŸ—’ EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
πŸ‘₯ Mohsen Ghafoorian, Cedric Nugteren, NΓ³ra Baka, Olaf Booij, Michael Hofmann
πŸ“— PDF


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πŸ—’ Learning Instance Segmentation by Interaction
πŸ‘₯ Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
πŸ“— PDF


πŸ—’ Quantizing deep convolutional networks for efficient inference: A whitepaper
πŸ‘₯ Raghuraman Krishnamoorthi
πŸ“— PDF


πŸ—’ Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?
πŸ‘₯ Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh
πŸ“— PDF


πŸ—’ Are good local minima wide in sparse recovery?
πŸ‘₯ Michael Moeller, Otmar Loffeld, Juergen Gall, Felix Krahmer
πŸ“— PDF


πŸ—’ Layouts from Panoramic Images with Geometry and Deep Learning
πŸ‘₯ Clara Fernandez-Labrador, Alejandro Perez-Yus, Gonzalo Lopez-Nicolas, Jose J. Guerrero
πŸ“— PDF


πŸ—’ Don't only Feel Read: Using Scene text to understand advertisements
πŸ‘₯ Arka Ujjwal dey, Suman K. Ghosh, Ernest Valveny
πŸ“— PDF


πŸ—’ Learning Shared Multimodal Embeddings with Unpaired Data
πŸ‘₯ AJ Piergiovanni, Michael S. Ryoo
πŸ“— PDF


πŸ—’ Finding Person Relations in Image Data of the Internet Archive
πŸ‘₯ Eric MΓΌller-Budack, Kader Pustu-Iren, Sebastian Diering, Ralph Ewerth
πŸ“— PDF


πŸ—’ Sampling Clustering
πŸ‘₯ Ching Tarn, Yinan Zhang, Ye Feng
πŸ“— PDF


πŸ—’ Synaptic partner prediction from point annotations in insect brains
πŸ‘₯ Julia Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas Turaga, Jan Funke
πŸ“— PDF


πŸ—’ DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
πŸ‘₯ Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
πŸ“— PDF


πŸ—’ Characterizing multiple instance datasets
πŸ‘₯ Veronika Cheplygina, David M. J. Tax
πŸ“— PDF


πŸ—’ Crowd disagreement of medical images is informative
πŸ‘₯ Veronika Cheplygina, Josien P. W. Pluim
πŸ“— PDF


πŸ—’ A convex method for classification of groups of examples
πŸ‘₯ Dori Peleg
πŸ“— PDF


πŸ—’ CaloriNet: From silhouettes to calorie estimation in private environments
πŸ‘₯ Alessandro Masullo, Tilo Burghardt, Dima Damen, Sion Hannuna, Victor Ponce-LΓ³pez, Majid Mirmehdi
πŸ“— PDF


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πŸ—’ Leveraging Disease Progression Learning for Medical Image Recognition
πŸ‘₯ Qicheng Lao, Thomas Fevens
πŸ“— PDF


πŸ—’ Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
πŸ‘₯ Xiaoming Yu, Zhenqiang Ying, Ge Li, Wen Gao
πŸ“— PDF


πŸ—’ Crowd Counting with Density Adaption Networks
πŸ‘₯ Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng
πŸ“— PDF


πŸ—’ Coupled Dictionary Learning for Multi-contrast MRI Reconstruction
πŸ‘₯ Pingfan Song, Lior Weizman, Joao F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues
πŸ“— PDF


πŸ—’ AirLab: Autograd Image Registration Laboratory
πŸ‘₯ Robin SandkΓΌhler, Christoph Jud, Simon Andermatt, Philippe C. Cattin
πŸ“— PDF


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πŸ—’ Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
πŸ‘₯ Dan Hendrycks, Thomas G. Dietterich
πŸ“— PDF


πŸ—’ Localization Recall Precision (LRP): A New Performance Metric for Object Detection
πŸ‘₯ Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
πŸ“— PDF


πŸ—’ Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery
πŸ‘₯ Quoc Dung Cao, Youngjun Choe
πŸ“— PDF


πŸ—’ Encoding Spatial Relations from Natural Language
πŸ‘₯ Tiago Ramalho, TomΓ‘Ε‘ KociskΓ½, Frederic Besse, S. M. Ali Eslami, GΓ‘bor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
πŸ“— PDF


πŸ—’ AND: Autoregressive Novelty Detectors
πŸ‘₯ Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
πŸ“— PDF


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πŸ—’ CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
πŸ‘₯ Xiaodan Liang, Tairui Wang, Luona Yang, Eric Xing
πŸ“— PDF


πŸ—’ Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks
πŸ‘₯ Robert Rudolph, Katja Herzog, Reinhard TΓΆpfer, Volker Steinhage
πŸ“— PDF


πŸ—’ Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks
πŸ‘₯ Omer Rajput, Nils Gessert, Martin Gromniak, Lars MatthΓ€us, Alexander Schlaefer
πŸ“— PDF


πŸ—’ Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images
πŸ‘₯ Shenghua He, Jie Zheng, Akiko Maehara, Gary Mintz, Dalin Tang, Mark Anastasio, Hua Li
πŸ“— PDF


πŸ—’ Essential Tensor Learning for Multi-view Spectral Clustering
πŸ‘₯ Jianlong Wu, Zhouchen Lin, Hongbin Zha
πŸ“— PDF


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πŸ‘‰ #CryptographyandSecurity πŸ‘ˆ

πŸ“— Computer Vision and Pattern Recognition
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πŸ—’ PS-FCN: A Flexible Learning Framework for Photometric Stereo
πŸ‘₯ Guanying Chen, Kai Han, Kwan-Yee K. Wong
πŸ“— PDF


πŸ—’ Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
πŸ‘₯ Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum
πŸ“— PDF


πŸ—’ Dual Refinement Network for Single-Shot Object Detection
πŸ‘₯ Xingyu Chen, Zhengxing Wu, Junzhi Yu
πŸ“— PDF


πŸ—’ Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval
πŸ‘₯ Weixun Zhou, Xueqing Deng, Zhenfeng Shao
πŸ“— PDF


πŸ—’ From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition
πŸ‘₯ Zhengyu Zhao, Martha Larson
πŸ“— PDF


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πŸ‘‰ #ComputationandLanguage πŸ‘ˆ

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πŸ—’ Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
πŸ‘₯ Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
πŸ“— PDF


πŸ—’ Navigation by Imitation in a Pedestrian-Rich Environment
πŸ‘₯ Jing Bi, Tianyou Xiao, Qiuyue Sun, Chenliang Xu
πŸ“— PDF


πŸ—’ Improving CNN Training using Disentanglement for Liver Lesion Classification in CT
πŸ‘₯ Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan
πŸ“— PDF


πŸ—’ A Corpus for Reasoning About Natural Language Grounded in Photographs
πŸ‘₯ Alane Suhr, Stephanie Zhou, Iris Zhang, Huajun Bai, Yoav Artzi
πŸ“— PDF


πŸ—’ Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
πŸ‘₯ Xiaofan Xu, Mi Sun Park, Cormac Brick
πŸ“— PDF


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πŸ“— Emerging Technologies
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πŸ‘‰ #MultiagentSystems πŸ‘ˆ

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πŸ‘‰ #Multimedia πŸ‘ˆ

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πŸ‘‰ #MathematicalSoftware πŸ‘ˆ

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πŸ‘‰ #NumericalAnalysis πŸ‘ˆ

πŸ“— Neural and Evolutionary Computing
πŸ‘‰ #NeuralandEvolutionaryComputing πŸ‘ˆ

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