Deep Learning Publication Navigator - subtopic: vision

Year TitleAuthor
2017   Fully Convolutional Network and Region Proposal for Instance Identification with egocentric vision  M Portaz, M Kohl, G Quénot, JP Chevallet
2017   Mapping Sub-Saharan African Agriculture in High-Resolution Satellite Imagery with Computer Vision & Machine Learning  SR Debats
2017   Learning Robust Tractable Models for Vision  R Gens
2017   Machine Vision: Vision Heroes  M Mueller
2017   Vision based Autonomous Landing of an Unmanned Aerial Vehicle on a Stationary Target  V Sudevan, A Shukla, H Karki 
2017   A Review of Gesture Recognition Based on Computer Vision  B Li, G Li, Y Sun, G Jiang, J Kong, Z Ju, D Jiang
2017   Discriminative Optimization: Theory and Applications to Computer Vision Problems  J Vongkulbhisal, F De la Torre, JP Costeira
2017   An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning  M Veres, M Moussa, GW Taylor
2017   What led computer vision to deep learning?: technical perspective  J Malik
2017   Automatic Illumination Planning for Robot Vision Inspection System  H Wang, J Wang, W Chen, L Xu
2017   Semantic Web-Mining and Deep Vision for Lifelong Object Discovery  J Young, V Basile, E Cabrio, N Hawes, B Caputo
2017   ChainerCV: a Library for Deep Learning in Computer Vision  Y Niitani, T Ogawa, S Saito, M Saito
2017   Handcrafted vs Non-Handcrafted Features for computer vision classification  L Nanni, S Ghidoni, S Brahnam
2017   Domain Adaptive Computational Models for Computer Vision  HKD Venkateswara
2017   When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach  D Liu, B Wen, X Liu, TS Huang
2017   A Fast Foveated Fully Convolutional Network Model for Human Peripheral Vision  L Fridman, B Jenik, S Keshvari, B Reimer, C Zetzsche
2017   Controlled comparison of machine vision algorithms for Rumex and Urtica detection in grassland  A Binch, CW Fox
2017   Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster  V Campos, F Sastre, M Yagües, M Bellver
2017   The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective  N Kato, ZM Fadlullah, B Mao, F Tang, O Akashi
2017   Biologically inspired vision systems in robotics  A Fernández
2017   Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks  X Chen, J Yu, S Kong, Z Wu, X Fang, L Wen 
2017   Deep Learning for Computer Vision  R Girshick, I Kokkinos, I Laptev, J Malik, G Papandreou
2017   DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications  LN Huynh, Y Lee, RK Balan
2017   DeepMon: Building Mobile GPU Deep Learning Models for Continuous Vision Applications  LN Huynh, RK Balan, Y Lee
2017   Augmenting diagnostic vision with AI  G Quer, ED Muse, N Nikzad, EJ Topol, SR Steinhubl
2017   An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data  E Stromatias, M Soto, T Serrano
2017   An End-to-End Computer Vision Pipeline for Automated Cardiac Function Assessment by Echocardiography  RC Deo, J Zhang, LA Hallock, S Gajjala, L Nelson
2017   An event-based classifier for Dynamic Vision Sensor and synthetic data  E Stromatias, M Soto, T Serrano
2017   Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision  FX Chen, G Roig, L Isik, X Boix, T Poggio
2017   Deep learning-based artificial vision for grasp classification in myoelectric hands  G Ghazaei, A Alameer, P Degenaar, G Morgan
2017   Neural Computation of Statistical Image Properties in Peripheral Vision  C Zetzsche, R Rosenholtz, N Cheema, K Gadzicki
2017   Deep Learning Advances in Computer Vision with 3D Data: A Survey  A Ioannidou, E Chatzilari, S Nikolopoulos
2017   An Overreaction to the Broken Machine Learning Abstraction: The ease. ml Vision  C Zhang, W Wu, T Li
2017   Machine Learning, deep learning and optimization in computer vision  S Canu
2016   Computer Vision for Assistive Technologies  M Leo, G Medioni, M Trivedi, T Kanade, GM Farinella
2016   Atoms of recognition in human and computer vision  S Ullman, L Assif, E Fetaya, D Harari
2016   Understanding the statistics of the natural environment and their implications for vision  JH Elder, J Victor, SW Zucker
2016   Knowledge Transfer between Computer Vision and Text Mining: Similarity-based Learning Approaches  RT Ionescu, M Popescu
2016   Deep Learning in Computer Vision  X Wang
2016   gvnn: Neural Network Library for Geometric Computer Vision  A Handa, M Bloesch, V Patraucean, S Stent
2016   Human physical activity recognition based on computer vision with deep learning model  L Mo, F Li, Y Zhu, A Huang
2016   Machine learning for computer vision  M Vanrell Martorell, D Vázquez, A López, O Pujol
2016   A CRF that Combines Tactile Sensing and Vision for Haptic Mapping  AK Shenoi, A Kumar
2016   A flexible ensemble-SVM for computer vision tasks  R Trichet, NE O'Connor
2016   Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results  M Fornaciali, M Carvalho, FV Bittencourt, S Avila
2016   Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)  A Bruhn, A Imiya, A Leonardis, T Pajdla
2016   A Vision for All-Spin Neural Networks: A Device to System Perspective  A Sengupta, K Roy
2016   The Changing Fortunes of Pattern Recognition and Computer Vision  R Chellappa
2016   Evaluating Programmable Architectures for Imaging and Vision Applications  A Vasilyev, N Bhagdikar, A Pedram, S Richardson
2016   A Vision Enriched Intelligent Agent with Image Description Generation  L Zhang, B Fielding, P Kinghorn, K Mistry
2016   Computer vision for high content screening  OZ Kraus, BJ Frey
2016   Machine learning and computer vision approaches for phenotypic profiling  BT Grys, DS Lo, N Sahin, OZ Kraus, Q Morris, C Boone
2016   THE PERSONALISED'DIGITAL ATHLETE': An evolving vision for the capture, modelling and simulation, of on-field athletic performance  J Alderson, W Johnson
2016   Computational Methods for Integrating Vision and Language  K Barnard
2016   ResearchDoom and CocoDoom: Learning Computer Vision with Games  A Mahendran, H Bilen, JF Henriques, A Vedaldi
2016   Computer Vision Metrics  S Krig
2016   Traffic Signal Synchronization Using Computer Vision and Wireless Sensor Networks  S Desai, P Trivedi
2016   Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques  K Sun, Z Wang, K Tu, S Wang, L Pan
2016   Robust tracking via monocular active vision for an intelligent teaching system  R Wang, H Dong, TX Han, L Mei
2016   Is Image Super-resolution Helpful for Other Vision Tasks?  D Dai, Y Wang, Y Chen, L Van Gool
2016   Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016  B Raman, S Kumar, PP Roy, D Sen
2016   CloudCV: Deep Learning and Computer Vision on the Cloud  H Agrawal
2016   Vision and Language Integration Meets Multimedia Fusion: Proceedings of ACM Multimedia 2016 Workshop  MF Moens, K Pastra, K Saenko, T Tuytelaars
2016   Binary representation learning in computer vision  F Shen, H Zhang, Y Yang, C Shen
2016   Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision  B Zhong, S Pan, H Zhang, T Wang, J Du, D Chen
2016   A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning  M Poggi, S Mattoccia
2016   Superior vision: Always on human-like vision for intelligent devices  V Mureşan
2016   Bio-Inspired Computer Vision: Towards a Synergistic Approach of Artificial and Biological Vision  NVK Medathati, H Neumann, GS Masson, P Kornprobst
2016   Play and Learn: Using Video Games to Train Computer Vision Models  A Shafaei, JJ Little, M Schmidt
2016   Enhancing computer vision to detect face spoofing attack utilizing a single frame from a replay video attack using deep learning  A Alotaibi, A Mahmood
2016   The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision  M Peemen, R Shi, S Lal, B Juurlink, B Mesman
2016   Automated analysis of retinal imaging using machine learning techniques for computer vision  J De Fauw, P Keane, N Tomasev, D Visentin
2016   Revealing the Hidden Patterns of News Photos: Analysis of Millions of News Photos Using GDELT and Deep Learning-based Vision APIs  H Kwak, J An
2016   Automated vision system for fabric defect inspection using Gabor filters and PCNN  Y Li, C Zhang
2016   RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision  R LiKamWa, Y Hou, J Gao, M Polansky, L Zhong
2016   Fashion Meets Computer Vision and NLP at e-Commerce Search  S Zoghbi, G Heyman, JC Gomez, MF Moens
2016   Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision  H Wen, J Shi, Y Zhang, KH Lu, Z Liu
2015   Metric imitation by manifold transfer for efficient vision applications  D Dai, T Kroeger, R Timofte, L Van Gool
2015   On Available Corpora for Empirical Methods in Vision & Language  F Ferraro, N Mostafazadeh, TH Huang, L Vanderwende
2015   Deconstructing Binary Classifiers in Computer Vision  M Ali, J Ho
2015   Assisting the training of deep neural networks with applications to computer vision  A Romero
2015   A closed-loop system for rapid face retrieval by combining EEG and computer vision  Y Wang, L Jiang, B Cai, Y Wang, S Zhang, X Zheng
2015   Special Issue on Bio-inspired Vision Systems  M Zillich, N Krüger
2015   Orange GSoC: Computer vision add-on for Orange  GSCM Summit
2015   A Ultra-Low-Energy Convolution Engine for Fast Brain-Inspired Vision in Multicore Clusters  F Conti, L Benini
2015   Visual Turing test for computer vision systems  D Geman, S Geman, N Hallonquist, L Younes
2015   How Useful Is Image Super-resolution to Other Vision Tasks?  D Dai, Y Wang, Y Chen, L Van Gool
2015   Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition  T Hachaj, MR Ogiela, K Koptyra
2015   Towards an Embodied Developing Vision System  İ Atıl, S Kalkan
2015   Preparing Students for Life Beyond College: A Meaning-Centered Vision for Holistic Teaching and Learning  RJ Nash
2015   A taxonomy of Deep Convolutional Neural Nets for Computer Vision  S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu
2015   Unsupervised Feature Learning in Computer Vision  R Goroshin
2015   A Survey of Computer Vision Research for Automotive Systems  CY Fu, CK Wang, E Park
2015   Rethinking the Inception Architecture for Computer Vision  C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
2015   An Overview of Color Name Applications in Computer Vision  J van de Weijer, FS Khan
2015   Deep learning of representations and its application to computer vision  I Goodfellow
2015   The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs  H Cai, Q Wu, T Corradi, P Hall
2015   Grasp Type Revisited: A Modern Perspective on A Classical Feature for Vision  Y Yang, C Fermüller, Y Li, Y Aloimonos
2015   ShiDianNao: shifting vision processing closer to the sensor  Z Du, R Fasthuber, T Chen, P Ienne, L Li, T Luo
2015   A New Vision for Testing  AM Paul
2015   Deep Convolutional Neural Networks for efficient vision based tunnel inspection  K Makantasis, E Protopapadakis, A Doulamis
2015   2014 Canadian Conference on Computer and Robot Vision (CRV)  R Gouiaa, J Meunier
2015   High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision  G Bertasius, J Shi, L Torresani
2015   Generic Feature Learning in Computer Vision  DK Nithin, PB Sivakumar
2015   Improving Active Vision System Categorization Capability Through Histogram of Oriented Gradients  O Lanihun, B Tiddeman, E Tuci, P Shaw
2015   I2. 4: Invited Paper: Rethinking the Imaging Pipeline for Energy‐Efficient Privacy‐Preserving Continuous Mobile Vision  R LiKamWa, Y Hou, PY Washington, L Zhong
2014   Defect Detecting Technology Based on Machine Vision of Industrial Parts  XJ He, ZD Yi, J Liu, YZ Wang
2014   On Vectorization of Deep Convolutional Neural Networks for Vision Tasks  JSJ Ren, L Xu
2014   Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework  R Xu, C Xiong, W Chen, JJ Corso
2014   Foundations and Trends® in Computer Graphics and Vision  J Mairal, F Bach, J Ponce
2014   7 Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization, with Applications in Computer Vision  G Papandreou, A Yuille
2014   Neural Networks and Neuroscience-Inspired Computer Vision  DD Cox, T Dean