Deep Learning Publication Navigator - subtopic: visual


Year TitleAuthor
2017   SalGAN: Visual Saliency Prediction with Generative Adversarial Networks  J Pan, C Canton, K McGuinness, NE O'Connor
2017   Visual Classification of Furniture Styles  Z Hu, Y Wen, L Liu, J Jiang, R Hong, M Wang, S Yan
2017   Visual Forecasting by Imitating Dynamics in Natural Sequences  KH Zeng, WB Shen, DA Huang, M Sun, JC Niebles
2017   Deep Reinforcement Learning for Visual Object Tracking in Videos  D Zhang, H Maei, X Wang, YF Wang
2017   Adaptive Depth Computational Policies for Efficient Visual Tracking  C Ying, K Fragkiadaki
2017   Motion Estimation Using Visual Odometry and Deep Learning Localization  S Bag, V Venkatachalapathy, RW Ptucha
2017   Hierarchical Compression of Deep Convolutional Neural Networks on Large Scale Visual Recognition for Mobile Applications  B Kim, M Lee, J Kim, J Kim, J Lee
2017   Deep Multi-label Hashing for Large-Scale Visual Search Based on Semantic Graph  C Zhong, Y Yu, S Tang, S Satoh, K Xing
2017   Visual object recognition using deep convolutional neural network  S Ahmed
2017   Visual vehicle tracking based on deep representation and semi-supervised learning  Y CAI, H WANG, X SUN, L CHEN
2017   Structured Deep Learning for Fine-grained Visual Classification  Y Qian
2017   The role of architectural and learning constraints in neural network models: a case study on visual space coding  A Testolin, M De Filippo De Grazia, M Zorzi
2017   Learning Temporal Features with CNNs for Monocular Visual Ego Motion Estimation  M Weber, C Rist, JM Zöllner
2017   Variant PID Controller Design for Autonomous Visual Tracking of Oil and Gas Pipelines via an Unmanned Aerial Vehicle  H Xiaoqian, H Karki, A Shukla, Z Xiaoxiong 
2017   Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons  C Zhuang, Y Wang, D Yamins, X Hu 
2017   Convolutional neural network-based encoding and decoding of visual object recognition in space and time  K Seeliger, M Fritsche, U Güçlü, S Schoenmakers
2017   Attentional Network for Visual Object Detection  K Hara, MY Liu, O Tuzel, A Farahmand
2017   Realistic Visual Simulation of Water Effects in Response to Human Motion using a Depth Camera  JH Kim, J Lee, CH Kim, SJ Kim
2017   Deep learning to frame objects for visual target tracking  S Pang, JJ del Coz, Z Yu, O Luaces, J Díez
2017   Sketch-based Image Retrieval with Deep Visual Semantic Descriptor  F Huang, C Jin, Y Zhang, K Weng, T Zhang, W Fan 
2017   Deep Learning Based Visual Tracking: A Review  C LI, Y Bo, C LI
2017   Visual Servoing from Deep Neural Networks  Q Bateux, E Marchand, J Leitner, F Chaumette
2017   First-spike based visual categorization using reward-modulated STDP  M Mozafari, SR Kheradpisheh, T Masquelier
2017   UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning  R Li, S Wang, Z Long, D Gu
2017   Deep learning assisted robust visual tracking with adaptive particle filtering  X Qian, LHY Wang, M Ding
2017   Deep Learning Features at Scale for Visual Place Recognition  Z Chen, A Jacobson, N Sunderhauf, B Upcroft, L Liu
2017   Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction  AM Obeso, MSG Vázquez, AAR Acosta
2017   Facial Expression Recognition using Visual Saliency and Deep Learning  V Mavani, S Raman, KP Miyapuram
2017   Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation  Z Wang, J Yang
2017   Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks  B Hu, Y Tang, EI Chang, Y Fan, M Lai, Y Xu 
2017   Visual Tracking using Siamese Convolutional Neural Network with Region Proposal and Domain Specific Updating  H Zhang, W Ni, W Yan, J Wu, H Bian, D Xiang 
2017   Robust Visual Tracking Using Oriented Gradient Convolution Networks  Q Xu, H Wang, J Zhou, L Tao 
2017   An artificial neural network architecture for non-parametric visual odometry in wireless capsule endoscopy  G Dimas, DK Iakovidis, A Karargyris, GC Ciuti
2017   Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model  J Lu, A Kannan, J Yang, D Parikh, D Batra
2017   Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors  M Jiang, Z Pan, Z Tang
2017   Multi-task Learning Of Deep Neural Networks For Audio Visual Automatic Speech Recognition  A Thanda, SM Venkatesan
2017   Implicit Visual Learning: Image Recognition via Dissipative Learning Model  Y Liu, Y Liu, S Zhong, S Wu
2017   Person Identification Using Discriminative Visual Aesthetic  S Azam, M Gavrilova
2017   Learning Visual Reasoning Without Strong Priors  E Perez, H de Vries, F Strub, V Dumoulin, A Courville
2017   Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots  M Turan, Y Almalioglu, H Araujo, E Konukoglu, M Sitti
2017   Generating Visual Representations for Zero-Shot Classification  M Bucher, S Herbin, F Jurie
2017   Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments  D Barnes, W Maddern, G Pascoe, I Posner 
2017   Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning  Q Wu, P Wang, C Shen, I Reid, A Hengel 
2017   Using Mise-En-Sc\ene Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation  Y Deldjoo, M Quadrana, M Elahi, P Cremonesi
2017   Robust visual tracking via multiscale deep sparse networks  X Wang, Z Hou, W Yu, Y Xue, Z Jin, B Dai
2017   Deep learning features exception for cross-season visual place recognition  C Kenshimov, L Bampis, B Amirgaliyev, M Arslanov 
2017   Learning the Frame-2-Frame Ego-Motion for Visual Odometry with Convolutional Neural Network  M Qiao, Z Wang 
2017   Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning  MM Srivastava, S Kant 
2017   Deep learning in visual computing and signal processing  D Xie, L Zhang, L Bai
2017   Generative-Discriminative Variational Model for Visual Recognition  CK Yeh, YHH Tsai, YCF Wang
2017   Estimating the Information Gap between Textual and Visual Representations  CA Henning, R Ewerth
2017   Visual Tracking Utilizing Object Concept From Deep Learning Network.  C Xiao, A Yilmaz, S Li
2017   Learning Visual N-Grams from Web Data  A Li, A Jabri, A Joulin, L van der Maaten
2017   Efficient and compact visual feature descriptors hashing using hierarchical multiple assignment k-means  S Ercoli, M Bertini, A Del Bimbo
2017   Exploring Convolutional Networks for End-to-End Visual Servoing  A Saxena, H Pandya, G Kumar, KM Krishna
2017   Deep learning hashing for mobile visual search  W Liu, H Ma, H Qi, D Zhao, Z Chen
2017   HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition  J Fan, T Zhao, Z Kuang, Y Zheng, J Zhang, J Yu
2017   Distributed learning of deep feature embeddings for visual recognition tasks  B Bhattacharjee, ML Hill, H Wu, PS Chandakkar
2017   Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments  R Gomez
2017   Deep learning for fine-grained visual recognition  T Li
2017   Stochastic Decorrelation Constraint Regularized Auto-Encoder for Visual Recognition  F Mao, W Xiong, B Du, L Zhang
2017   A Visual Approach to Data Fusion in Sensor Networks  M Zsifkovits, M Moll, TS Pham, SW Pickl
2017   An efficient deep learning hashing neural network for mobile visual search  H Qi, W Liu, L Liu 
2017   Protecting Visual Secrets using Adversarial Nets  N Raval, A Machanavajjhala, LP Cox
2017   Are we underestimating the richness of visual experience?  AM Haun, G Tononi, C Koch, N Tsuchiya
2017   Multimodal Learning and Reasoning for Visual Question Answering  I Ilievski, J Feng 
2017   Scene Physics Acquisition via Visual De-animation  J Wu, E Lu, P Kohli, B Freeman, J Tenenbaum 
2017   Data augmentation-assisted deep learning of hand-drawn partially colored sketches for visual search  J Ahmad, K Muhammad, SW Baik
2017   How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis  MJM Chuquicusma, S Hussein, J Burt, U Bagci 
2017   Separating Self-Expression and Visual Content in Hashtag Supervision  A Veit, M Nickel, S Belongie, L van der Maaten 
2017   Machine Learning and Visual Computing  L Zhang, Y Cao, F Yang, Q Zhao
2017   Deep Learning for Visual Understanding [From the Guest Editors]  F Porikli, S Shan, C Snoek, R Sukthankar, X Wang 
2017   Learning Compositional Visual Concepts with Mutual Consistency  Y Gong, S Karanam, Z Wu, KC Peng, J Ernst 
2017   A deep learning/neuroevolution hybrid for visual control  AP Poulsen, M Thorhauge, MH Funch, S Risi
2017   Quadruplet Network with One-Shot Learning for Visual Tracking  X Dong, J Shen, F Porikli
2017   Ensemble learning on visual and textual data for social image emotion classification  S Corchs, E Fersini, F Gasparini
2017   Deep learning-based fine-grained car make/model classification for visual surveillance  E Gundogdu, ES Parıldı, B Solmaz, V Yücesoy, A Koç
2017   Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework  J Kim, S Lee
2017   Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks  T Kim, B Kim, M Cha, J Kim
2017   Capacity limitations of visual search in deep convolutional neural network  E Poder
2017   Using deep learning to reveal the neural code for images in primary visual cortex  WF Kindel, ED Christensen, J Zylberberg
2017   Fast Conceptor Classifier in Pre-trained Neural Networks for Visual Recognition  G Qian, L Zhang, Q Zhang
2017   Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis  SE Reed
2017   Efficient visual code localization with neural networks  P Bodnár, T Grósz, L Tóth, LG Nyúl
2017   DeepVO: towards end-to-end visual odometry with deep recurrent convolutional neural networks  S Wang, R Clark, H Wen, N Trigoni
2017   CSMCCVA: Framework of cross-modal semantic mapping based on cognitive computing of visual and auditory sensations  刘扬
2017   Rotation Adaptive Visual Object Tracking with Motion Consistency  L Rout, GR Manyam, D Mishra
2017   Deep Semantic Indexing Using Convolutional Localization Network with Region-Based Visual Attention for Image Database  M Zhang, Y Yang, H Zhang, Y Ji, N Xie, HT Shen
2017   Visual Flow Analysis and Saliency Prediction  KSS Srinivas
2017   Deep Learning Networks For Visual Sentiment Analysis: CaffeNet and TensorFlow  SS Shaikh, PM Tayade, SN Deshmukh
2017   Online Learning for Visual Navigation of UAVs  B Grelsson, M Felsberg
2017   Transitive Invariance for Self-supervised Visual Representation Learning  X Wang, K He, A Gupta
2017   Generative Adversarial Networks for Visual Object Detection  D Kislyuk
2017   ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models  M Kahng, P Andrews, A Kalro, DH Chau
2017   Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce  D Shankar, S Narumanchi, HA Ananya, P Kompalli
2017   Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System  M Zimmermann, M Mehdipour Ghazi, HK Ekenel
2017   Effective Visual Tracking Using Multi-Block and Scale Space Based on Kernelized Correlation Filters  S Jeong, G Kim, S Lee
2017   Deep learning for rapid serial visual presentation event from electroencephalography signal  Z Mao
2017   Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning  Z Sadeghi, A Testolin
2017   Inferring and Executing Programs for Visual Reasoning  J Johnson, B Hariharan, L van der Maaten, J Hoffman
2017   Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia  S Chaabouni, J Benois
2017   Towards Visual Training Set Generation Framework  J Hůla, I Perfilieva, AAM Muzaheed
2017   Improving Efficiency in Deep Learning for Large Scale Visual Recognition  B Liu
2017   Biasing Restricted Boltzmann Machines using Gaussian Filters to Learn Invariant Visual Features  A Yogeswaran, P Payeur
2017   VPPAW penetration monitoring based on fusion of visual and acoustic signals using t-SNE and DBN model  D Wu, Y Huang, H Chen, Y He, S Chen
2017   A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions  S Dodge, L Karam
2017   A study on visual interpretation of network in network  S Suzuki, H Shouno
2017   Robust Mobile Visual Recognition System: From Bag of Visual Words to Deep Learning  D Li
2017   Understanding Scenery Quality: A Visual Attention Measure and Its Computational Model  YP Loh, S Tong, X Liang, T Kumada, CS Chan
2017   Visual Attention-Based Target Detection and Discrimination for High-Resolution SAR Images in Complex Scenes  Z Wang, L Du, P Zhang, L Li, F Wang, S Xu, H Su 
2017   WebVision Challenge: Visual Learning and Understanding With Web Data  W Li, L Wang, W Li, E Agustsson, J Berent, A Gupta
2017   Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry  P Muller, A Savakis
2017   Visual affective classification by combining visual and text features  N Liu, K Wang, X Jin, B Gao, E Dellandréa, L Chen
2016   Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach  YWYHS Kambhampati, B Li
2016   Visual object tracking via deep neural network  T Xu, X Wu
2016   Part Recognition Method Based on Visual Selective Attention Mechanism and Deep Learning  D Zhou, N Xiao
2016   Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition  RM Cichy, A Khosla, D Pantazis, A Torralba, A Oliva
2016   Visual Script and Language Identification  A Nicolaou, A Bagdanov, L Gomez
2016   A performance-optimized model of neural responses across the ventral visual stream  D Seibert, DL Yamins, D Ardila, H Hong, JJ DiCarlo
2016   DeepVO: A Deep Learning approach for Monocular Visual Odometry  V Mohanty, S Agrawal, S Datta, A Ghosh, VD Sharma
2016   A computational exploration of complementary learning mechanisms in the primate ventral visual pathway  CJ Spoerer, A Eguchi, SM Stringer
2016   Discriminative Shape Feature Pooling in Deep Convolutional Networks for Visual Classification  C Dixit
2016   Inferring Visual Persuasion via Body Language, Setting, and Deep Features  X Huang, A Kovashka
2016   Visual domain adaptation via transfer feature learning  J Tahmoresnezhad, S Hashemi
2016   Open-ended visual question answering  I Masuda Mora
2016   Visual Navigation for UAV with Map References Using ConvNets  F Aznar, M Pujol, R Rizo
2016   Visual Representations and Models: From Latent SVM to Deep Learning  H Azizpour
2016   Applying Visual User Interest Profiles for Recommendation and Personalisation  J Zhou, R Albatal, C Gurrin
2016   Visual Tracking with Online Incremental Deep Learning and Particle Filter  S Cheng, Y Cao, J Sun, G Liu
2016   Deep multi-context Network for FINE-GRAINED VISUAL RECOGNITION  X Ou, Z Wei, H Ling, S Liu, X Cao
2016   Visual Tracking via Shallow and Deep Collaborative Model  B Zhuang, L Wang, H Lu
2016   Visual Representations for Fine-grained Categorization  N Zhang
2016   Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator  N Lee, X Weng, VN Boddeti, Y Zhang, F Beainy
2016   Deep learning models of biological visual information processing  D Turcsány
2016   Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity  A Tavanaei, T Masquelier, AS Maida
2016   Visual Sentiment Analysis for Social Images Using Transfer Learning Approach  J Islam, Y Zhang
2016   Unsupervised Feature Learning Assisted Visual Sentiment Analysis  Z Li, Y Fan, F Wang, W Liu
2016   Bi-modal First Impressions Recognition using Temporally Ordered Deep Audio and Stochastic Visual Features  A Subramaniam, V Patel, A Mishra
2016   Benchmarking spike-based visual recognition: a dataset and evaluation  Q Liu, G Pineda
2016   Modeling and Propagating CNNs in a Tree Structure for Visual Tracking  H Nam, M Baek, B Han
2016   Ambient sound provides supervision for visual learning  A Owens, J Wu, JH McDermott, WT Freeman
2016   Learning Deep Representations of Fine-Grained Visual Descriptions  S Reed, Z Akata, H Lee, B Schiele
2016   Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex  Q Liao, T Poggio
2016   Part-Stacked CNN for Fine-Grained Visual Categorization  S Huang, Z Xu, D Tao, Y Zhang
2016   A Comparative Study of Data Fusion for RGB-D Based Visual Recognition  J Sanchez
2016   Robust visual tracking through deep learning-based confidence evaluation  E Hong, J Bae, J Lim
2016   Probabilistic visual search for masses within mammography images using deep learning  MG Ertosun, DL Rubin
2016   Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions  F Carrara, A Esuli, T Fagni, F Falchi, AM Fernández
2016   A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data  D Triantafyllidou, A Tefas
2016   Seeing it all: Convolutional network layers map the function of the human visual system  M Eickenberg, A Gramfort, G Varoquaux, B Thirion
2016   Master's Thesis: Deep Learning for Visual Recognition  R Cadène, N Thome, M Cord
2016   Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning  Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei
2016   What You Get Is What You See: A Visual Markup Decompiler  Y Deng, A Kanervisto, AM Rush
2016   Reducing Drift in Visual Odometry by Inferring Sun Direction using a Bayesian Convolutional Neural Network  V Peretroukhin, L Clement, J Kelly
2016   Convolutional Regression for Visual Tracking  K Chen, W Tao
2016   Deep Cross Residual Learning for Multitask Visual Recognition  B Jou, SF Chang
2016   Deep Complementary Bottleneck Features For Visual Speech Recognition  S Petridis, M Pantic
2016   The Curious Robot: Learning Visual Representations via Physical Interactions  L Pinto, D Gandhi, Y Han, YL Park, A Gupta
2016   Visual Speech Feature Representations: Recent Advances  C Sui, M Bennamoun, R Togneri
2016   Finetuning Convolutional Neural Networks for Visual Aesthetics  Y Wang, Y Li, F Porikli
2016   Visual Saliency Detection: From Space To Frequency  D Chen, T Jia, C Wu
2016   Learned filters for object detection in multi-object visual tracking  V Stamatescu, S Wong, MD McDonnell, D Kearney
2016   From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction  V Campos, B Jou, X Giro
2016   Deep Learning Driven Visual Path Prediction from a Single Image  S Huang, X Li, Z Zhang, Z He, F Wu, W Liu, J Tang
2016   Recurrent Mixture Density Network for Spatiotemporal Visual Attention  L Bazzani, H Larochelle, L Torresani
2016   How useful is photo-realistic rendering for visual learning?  Y Movshovitz
2016   A Novel Biologically Mechanism-Based Visual Cognition Model--Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for …  P Yin, H Qiao, W Wu, L Qi, YL Li, S Zhong, B Zhang
2016   Environment Exploration for Object-Based Visual Saliency Learning  C Craye, D Filliat, JF Goudou
2016   Convolutional Network Representation for Visual Recognition  A Sharif Razavian
2016   What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?  J Hao, J Dong, W Wang, T Tan
2016   NeRD: a Neural Response Divergence Approach to Visual Salience Detection  MJ Shafiee, P Siva, C Scharfenberger, P Fieguth
2016   Enhancing suicide risk assessment: a novel visual metaphor learning tool  M Alyami, H Alyami, F Sundram, G Cheung
2016   Scene classification using multi-scale deeply described visual words  W Zhao, S Du
2016   [Paper] Visual Instance Retrieval with Deep Convolutional Networks  AS Razavian, J Sullivan, S Carlsson, A Maki
2016   Object Classification and Grasp Planning Using Visual and Tactile Sensing  F Sun, C Liu, W Huang, J Zhang
2016   Pretraining Convolutional Neural Networks for Visual Recognition  M Haavisto
2016   Introduction to Large-Scale Visual Geo-localization  AR Zamir, A Hakeem, L Van Gool, M Shah, R Szeliski
2016   Towards ontology driven learning of visual concept detectors  S Arora, C Cho, P Fitzpatrick, F Scharffe
2016   Spatial encoding of visual words for image classification  D Liu, S Wang, F Porikli
2016   Learning from Maps: Visual Common Sense for Autonomous Driving  A Seff, J Xiao
2016   Visual Cortex and Deep Networks: Learning Invariant Representations  TA Poggio, F Anselmi
2016   Virtual Manipulation: An On-Screen Interactive Visual Design for Science Learning  S Saha, S Halder
2016   Visual Question: Predicting If a Crowd Will Agree on the Answer  D Gurari, K Grauman
2016   Deep Learning Techniques for RGB-D Visual Recognition System  YS Hsiao
2016   Multimodal learning from visual and remotely sensed data  D Rao
2016   Optical Flow and Deep Learning Based Approach to Visual Odometry  PM Muller
2016   Visual localization based on sequence matching using ConvNet features  Y Qiao, C Cappelle, Y Ruichek, F Dornaika
2016   Real-time target detection and recognition with deep convolutional networks for intelligent visual surveillance  W Xu, J He, HL Zhang, B Mao, J Cao
2016   An Environment Visual Awareness Approach in Cognitive Model ABGP  G Ma, X Yang, B Zhang, B Qi, Z Shi
2016   Ask Your Neurons: A Deep Learning Approach to Visual Question Answering  M Malinowski, M Rohrbach, M Fritz
2016   Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks  Y Yu, H Lin, J Meng, Z Zhao
2016   Early Visual Concept Learning with Unsupervised Deep Learning  I Higgins, L Matthey, X Glorot, A Pal, B Uria, C Blundell
2016   Vehicle detection based on visual saliency and deep sparse convolution hierarchical model  Y Cai, H Wang, X Chen, L Gao, L Chen
2016   Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks  T Kaneko, K Hiramatsu, K Kashino
2016   Seeing into Darkness: Scotopic Visual Recognition  B Chen, P Perona
2016   Revisiting Visual Question Answering Baselines  A Jabri, A Joulin, L van der Maaten
2016   Visual object tracking with autoencoder representations  B Beşbınar, AA Alatan
2016   Unsupervised Deep Hashing for Large-scale Visual Search  Z Xia, X Feng, J Peng, A Hadid
2016   When Underwater Imagery Analysis Meets Deep Learning: a Solution at the Age of Big Visual Data  H Qin, X Li, Z Yang, M Shang, C Shenzhen
2016   Learning the Roots of Visual Domain Shift  T Tommasi, M Lanzi, P Russo, B Caputo
2016   Visual Question Answering: A Survey of Methods and Datasets  Q Wu, D Teney, P Wang, C Shen, A Dick, A Hengel
2016   Visual hand gesture recognition with convolution neural network  M Han, J Chen, L Li, Y Chang
2016   Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking  G Ning, Z Zhang, C Huang, Z He, X Ren, H Wang
2016   Visual Aesthetic Quality Assessment with Multi-task Deep Learning  Y Kao, R He, K Huang
2016   Part-based clothing image annotation by visual neighbor retrieval  GL Sun, X Wu, Q Peng
2016   Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases  S Chaabouni, F Tison, J Benois
2016   Bounded Activation Functions for Enhanced Training Stability of Deep Neural Networks on Visual Pattern Recognition Problems  SS Liew, M Khalil
2016   Open-Ended Visual Question-Answering  IM Mora
2016   Biologically inspired model simulating visual pathways and cerebellum function in human-Achieving visuomotor coordination and high precision movement with …  W Wu, H Qiao, J Chen, P Yin, Y Li
2016   Low level visual feature extraction by learning of multiple tasks for Convolutional Neural Networks  H Ide, T Kurita
2016   Deep self-organizing reservoir computing model for visual object recognition  Z Deng, C Mao, X Chen
2016   Understanding Visual Concepts with Continuation Learning  WF Whitney, M Chang, T Kulkarni, JB Tenenbaum
2016   Joint visual denoising and classification using deep learning  G Chen, Y Li, SN Srihari
2016   Deep cross-layer activation features for visual recognition  GT Papadopoulos, E Machairidou, P Daras
2016   Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks  T Xue, J Wu, KL Bouman, WT Freeman
2016   How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System?  S Sharma, B Tripp
2016   Once for All: a Two-flow Convolutional Neural Network for Visual Tracking  K Chen, W Tao
2016   Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning  L Lin, G Wang, W Zuo, X Feng, L Zhang
2016   A traffic sign recognition method based on deep visual feature  F Lin, Y Lai, L Lin, Y Yuan
2016   Deep Learning Human Mind for Automated Visual Classification  C Spampinato, S Palazzo, I Kavasidis, D Giordano
2016   Self-supervised Visual Descriptor Learning for Dense Correspondence  T Schmidt, R Newcombe, D Fox
2016   Ordering of Visual Descriptors in a Classifier Cascade Towards Improved Video Concept Detection  F Markatopoulou, V Mezaris, I Patras
2016   End-to-end Learning of Deep Visual Representations for Image Retrieval  A Gordo, J Almazan, J Revaud, D Larlus
2016   Night time vehicle detection algorithm based on visual saliency and deep learning  Y Cai, HW Xiaoqiang Sun, LCH Jiang
2016   Regularizing Deep Models for Visual Recognition  E Barshan Tashnizi
2016   Smart Citizen Sensing: A Proposed Computational System with Visual Sentiment Analysis and Big Data Architecture  KB Ahmed, M Bouhorma, MB Ahmed
2016   Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles  M Noroozi, P Favaro
2016   Guest Editorial Special Section on Visual Saliency Computing and Learning  J Han, L Shao, N Vasconcelos, J Han, D Xu
2016   Heterogeneous Visual Features Integration for Image Recognition Optimization in Internet of Things  F Zhong, Z Chen, Z Ning, G Min, Y Hu
2016   Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation  A Mansoor, J Cerrolaza, R Idrees, E Biggs, M Alsharid
2016   Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking  V Vukotic, C Raymond, G Gravier
2016   Visual Sentiment Analysis with Network in Network  Z Li, Y Fan, F Wang
2015   Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations  MA Giese, G Rizzolatti
2015   A scalable architecture for multi-class visual object detection  S Advani, Y Tanabe, K Irick, J Sampson, V Narayanan
2015   Modeling object recognition in visual cortex using multiple firing K-means and Non-negative Sparse Coding  Y Wang, L Deng
2015   Two-Stage Learning to Robust Visual Track via CNNs  D Hu, X Zhou, X Yu, Z Hou
2015   From Deep Learning to Episodic Memories: Creating Categories of Visual Experiences  J Doshi, Z Kira, A Wagner
2015   Navigating a Robot through Big Visual Sensory Data  A Altahhan
2015   On Robust Image Spam Filtering via Comprehensive Visual Modeling  J Shen, RH Deng, Z Cheng, L Nie, S Yan
2015   Network in Network based Weakly Supervised Learning for Visual Tracking  Y Chen, X Yang, B Zhong, H Zhang, C Lin
2015   Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps  D Eigen
2015   Building a Large-scale Multimodal Knowledge Base for Visual Question Answering  Y Zhu, C Zhang, C Ré, L Fei
2015   A novel method based on data visual autoencoding for time series similarity matching  C Qian, Y Wang, G Hu, L Guo
2015   Show, Attend and Tell: Neural Image Caption Generation with Visual Attention  K Xu, J Ba, R Kiros, A Courville, R Salakhutdinov
2015   A HMAX with LLC for visual recognition  KH Lau, YH Tay, FL Lo
2015   Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books  Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun
2015   Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition  SR Kheradpisheh, M Ganjtabesh, T Masquelier
2015   A developmental where-what neural net for concurrent and interactive visual attention and recognition  Z Ji, J Weng
2015   VISALOGY: Answering Visual Analogy Questions  F Sadeghi, CL Zitnick, A Farhadi
2015   Visual Quality Assessment by Machine Learning  L Xu, W Lin, CCJ Kuo
2015   A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization  G Lihua, G Chenggan
2015   Learning Visual Classifiers using Human-centric Annotations  I Misra, CL Zitnick, M Mitchell, R Girshick
2015   Unsupervised Visual Representation Learning by Context Prediction  C Doersch, A Gupta, AA Efros
2015   Socio-cognitive profiles for visual learning in young and older adults  J Christian, A Goldstone, S Kuai, W Chin, D Abrams
2015   What We Can Learn From the Primate's Visual System  N Krüger, M Zillich, P Janssen, AG Buch
2015   Visual Saliency Prediction using Deep learning Techniques  J Pan
2015   Scotopic Visual Recognition  B Chen, P Perona
2015   Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines  C Sui, M Bennamoun, R Togneri
2015   A Novel Visual Attention Framework using Unsupervised Feature Learning for Road Scene Understanding  Y Mao, Q Meng, M Chen
2015   Indexing Images for Visual Memory by Using DNN Descriptors–Preliminary Experiments  E Derner, T Svoboda
2015   Transferring Rich Feature Hierarchies for Robust Visual Tracking  N Wang, S Li, A Gupta, DY Yeung
2015   Multiple level visual semantic fusion method for image re-ranking  S Qi, F Wang, X Wang, Y Guan, J Wei, J Guan
2015   Tiny ImageNet Visual Recognition Challenge  Y Le, X Yang
2015   Implications of Multimodal Deep Learning for Textual and Visual Data  H Pham
2015   Learning visual odometry with a convolutional network  K Konda, R Memisevic
2015   Domain Adaptation for Visual Recognition  R Gopalan, R Li, VM Patel, R Chellappa
2015   Visual Turing test for computer vision systems  D Geman, S Geman, N Hallonquist, L Younes
2015   Extracting Visual Patterns from Deep Learning Representations  D Garcia
2015   Cross-Domain and Within-Domain Synaptic Maintenance for Autonomous Development of Visual Areas  Q Guo, X Wu, J Weng
2015   A Real-Time Visual Tracking Approach Using Sparse Autoencoder and Extreme Learning Machine  L Dai, Y Zhu, G Luo, C He, H Lin
2015   Regional Deep Learning Model for Visual Tracking  G Wu, W Lu, G Gao, C Zhao, J Liu
2015   Learning Shared, Discriminative, and Compact Representations for Visual Recognition  H Lobel, R Vidal, A Soto
2015   A Novel Method Based on Data Visual Autoencoding for Time-Series Classification  C Qian, Y Wang, L Guo
2015   Deep Learning for Surface Material Classification Using Haptic And Visual Information  H Zheng, L Fang, M Ji, M Strese, Y Ozer, E Steinbach
2015   Visual Search at Pinterest  Y Jing, D Liu, D Kislyuk, A Zhai, J Xu, J Donahue
2015   Two Dimensional Hashing for Visual Tracking  C Ma, C Liu
2015   Visual Saliency Based on Multiscale Deep Features  G Li, Y Yu
2015   Visual Coding in a Semantic Hierarchy  Y Yang, H Zhang, M Zhang, F Shen, X Li
2015   Learning Socially Embedded Visual Representation from Scratch  S Liu, P Cui, W Zhu, S Yang
2015   Video captioning with recurrent networks based on frame-and video-level features and visual content classification  R Shetty, J Laaksonen
2015   Simple Baseline for Visual Question Answering  B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus
2015   Visual complexity in orthographic learning: Modeling learning across writing system variations  LY Chang, DC Plaut, CA Perfetti
2015   Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders  C Finn, XY Tan, Y Duan, T Darrell, S Levine, P Abbeel
2015   Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action Sequences  M Jung, J Hwang, J Tani
2015   Quad-Tree based Image Encoding Methods for Data-Adaptive Visual Feature Learning  C Zhang, X Liang, T Matsuyama
2015   Local Visual Feature Fusion via Maximum Margin Multimodal Deep Neural Network  Z Ren, Y Deng, Q Dai
2015   Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI  R Manor, A Geva
2015   Deep learning for visual understanding: A review  Y Guo, Y Liu, A Oerlemans, S Lao, S Wu, MS Lew
2015   Learning visual similarity for product design with convolutional neural networks  S Bell, K Bala
2015   Deep Visual Analogy-Making  S Reed, Y Zhang, Y Zhang, H Lee
2015   Attribute2Image: Conditional Image Generation from Visual Attributes  X Yan, J Yang, K Sohn, H Lee
2015   Robust visual tracking via CAMShift and structural local sparse appearance model  H Zhao, K Xiang, S Cao, X Wang
2015   LIP movement generation using restricted Boltzmann machines for visual speech synthesis  ZC Liu, ZH Ling, LR Dai
2015   A Picture Tells a Thousand Words--About You! User Interest Profiling from User Generated Visual Content  Q You, S Bhatia, J Luo
2015   Visual Recognition Using Directional Distribution Distance  J Wu, BB Gao, G Liu
2015   DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets  S Shankar, VK Garg, R Cipolla
2015   Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection  Y Hou, H Zhang, S Zhou
2015   Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words  O Surinta, MF Karaaba, TK Mishra, LRB Schomaker
2015   The Neural-SIFT Feature Descriptor for Visual Vocabulary Object Recognition  S Jansen
2015   Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle  J Kuen, KM Lim, CP Lee
2015   Unsupervised Learning of Visual Structure using Predictive Generative Networks  W Lotter, G Kreiman, D Cox
2015   Exploring co-learning behavior of conference participants with visual network analysis of Twitter data  H Aramo
2015   Vehicle license plate recognition using visual attention model and deep learning  D Zang, Z Chai, J Zhang, D Zhang, J Cheng
2015   Unsupervised Learning of Visual Representations using Videos  X Wang, A Gupta
2015   Modeling prediction and pattern recognition in the early visual and olfactory systems  B Kaplan
2015   Learning Discriminative Feature Representations for Visual Categorization  L Liu
2015   I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions  WY Wang, M Wen
2015   Accurately decoding visual information from fMRI data obtained in a realistic virtual environment  A Floren, B Naylor, R Mikkulainen, D Ress
2015   Basic Level Categorizatiandon is Important: Modelling the Facilitation in Visual Object Recognition  P Wang, GW Cottrell
2015   DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking  H Li, Y Li, F Porikli
2015   Understanding Objects in the Visual World  E Ahmed
2015   Development and Assessment of Visual Articulatory Biofeedback Systems for Speech Therapy  D Fabre, T Hueber, M Canault, N Bedoin, P Badin
2015   Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction  V Campos, A Salvador, B Jou, X Giró
2015   Visual descriptors for scene categorization: experimental evaluation  X Wei, SL Phung, A Bouzerdoum
2015   Visual Question Answering using Deep Learning  S Agrawal, A Mukherjee
2015   Deep Learning for Tactile Understanding From Visual and Haptic Data  Y Gao, LA Hendricks, KJ Kuchenbecker, T Darrell
2015   A Deep Visual Correspondence Embedding Model for Stereo Matching Costs  Z Chen, X Sun, Y Yu, L Wang, C Huang
2015   Visual Language Modeling on CNN Image Representations  H Kato, T Harada
2015   A Century of Portraits: A Visual Historical Record of American High School Yearbooks  S Ginosar, K Rakelly, S Sachs, B Yin, AA Efros
2015   Understanding and Diagnosing Visual Tracking Systems  N Wang, J Shi, DY Yeung, J Jia
2015   On Combining Multiple Instance Linear SVM and Bag Splitting for High Performance Visual Object Localization  K Huang, W Ren, D Tao, T Tan
2015   Learning Mid-Level Representations for Visual Recognition  A Eigenstetter
2015   An Embodied Approach for Evolving Robust Visual Classifiers  K Zieba, J Bongard
2015   Beyond explicit codebook generation: Visual Representation Using Implicitly Transferred codebooks  C Zhang, J Cheng, J Liu, J Pang, Q Huang, Q Tian
2015   Visual Tracking Based on Convolutional Deep Belief Network  D Hu, X Zhou, J Wu
2015   Data driven visual tracking via representation learning and online multi-class LPBoost learning  X Yang, S Wang
2015   Loop closure detection for visual SLAM systems using deep neural networks  X Gao, T Zhang
2015   Multimedia Event Detection using Visual Features  D Gupta, R Goutam, A Ng
2014   Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures  S Soatto, J Dong, N Karianakis
2014   From Captions to Visual Concepts and Back  H Fang, S Gupta, F Iandola, R Srivastava, L Deng
2014   Long-term Recurrent Convolutional Networks for Visual Recognition and Description  J Donahue, LA Hendricks, S Guadarrama, M Rohrbach
2014   Visual Domain Adaptation: A Survey of Recent Advances  R Chellappa
2014   Unsupervised generation of context-relevant training-sets for visual object recognition employing multilinguality  M Schoeler, F Wörgötter, J Papon, T Kulvicius
2014   DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks  T Chen, D Borth, T Darrell, SF Chang
2014   Fused one-vs-all mid-level features for fine-grained visual categorization  X Zhang, H Xiong, W Zhou, Q Tian
2014   Multiple Spatio-Temporal Scales Neural Network for Contextual Visual Recognition of Human Actions  M Jung, J Hwang, J Tani
2014   Learning Local Receptive Fields in Deep Belief Networks for Visual Feature Detection  D Turcsany, A Bargiela
2014   Deep Adaptive Networks for Visual Data Classification  S Zhou, Q Chen, X Wang
2014   Localization of Visual Codes in the DCT Domain Using Deep Rectifier Neural Networks  P Bodnár, T Grósz, L Tóth, LG Nyúl
2014   Semantics of Visual Discrimination  JR Smith
2014   Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment  H Qiao, X Xi, Y Li, W Wu, F Li
2014   Visual Sentiment Prediction with Deep Convolutional Neural Networks  C Xu, S Cetintas, KC Lee, LJ Li
2014   Visual literacy for all teachers and learners  J Beaudry
2014   Towards a Visual Turing Challenge  M Malinowski, M Fritz
2014   Learning a Recurrent Visual Representation for Image Caption Generation  X Chen, CL Zitnick
2014   Learning Generative Models with Visual Attention-Supplementary Materials  CN Network
2014   Learning Deep Visual Representations  ADERV PROFONDES
2014   Multimodal Transfer Deep Learning for Audio Visual Recognition  S Moon, S Kim, H Wang
2014   Visual Scene Representations: Sufficiency, Minimality, Invariance and Approximations  S Soatto
2014   Nonlinear Supervised Locality Preserving Projections for Visual Pattern Discrimination  EM Rehn, H Sprekeler
2014   Adaptive learning in a compartmental model of visual cortex-how feedback enables stable category learning and refinement  G Layher, F Schrodt, MV Butz, H Neumann
2014   Deep Learning for Visual Scene Understanding: A Proposal  HFBM Zaki
2014   Extracting Deep Bottleneck Features For Visual Speech Recognition  C Sui, R Togneri, M Bennamoun
2014   Visual Causal Feature Learning  K Chalupka, P Perona, F Eberhardt
2014   Theano-based Large-Scale Visual Recognition with Multiple GPUs  W Ding, R Wang, F Mao, G Taylor
2014   HAck: A system for the recognition of human actions by kernels of visual strings  L Brun, G Percannella, A Saggese, M Vento
2014   Multiple Object Recognition with Visual Attention  J Ba, V Mnih, K Kavukcuoglu