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2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
Bajcsy, Růžena [szerk.]
;
Li, Fei-Fei [szerk.]
;
Tuytelaars, Tinne [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok
2016
Konferencia:
29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 2016-06-26 [Las Vegas, Amerikai Egyesült Államok]
Azonosítók
MTMT: 30246223
ISBN:
9781467388511
ISBN:
9781509014378
ISBN:
9781467388504
Fejezetek
Xian Yongqin et al. Latent Embeddings for Zero-shot Classification. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 69-77
Guo et al. Background Subtraction Using Local SVD Binary Pattern. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 86-94
Tran Du et al. Deep End2End Voxel2Voxel Prediction. (2016) Megjelent: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) pp. 402-409
Gaisser Floris et al. Image Registration for Placenta Reconstruction. (2016) Megjelent: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) pp. 473-480
Prokopetc Kristina et al. Reducing Drift in Mosaicing Slit-Lamp Retinal Images. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 533-540
Mu Zhiping. A Fast DRR Generation Scheme for 3D-2D Image Registration Based on the Block Projection Method. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 609-617
Lee Gayoung et al. Deep Saliency with Encoded Low level Distance Map and High Level Features. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 660-668
Kovács L A. Visual Monocular Obstacle Avoidance for Small Unmanned Vehicles. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 877-884
Xiao Fanyi et al. Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 933-942
Liu Ziwei et al. DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 1096-1104
Zhang Xiaofan et al. Embedding Label Structures for Fine-Grained Feature Representation. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 1114-1123
Shi Hailin et al. Learning Discriminative Features with Class Encoder. (2016) Megjelent: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) pp. 1119-1125
Cheng De et al. Person Re-Identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 1335-1344
Lapin Maksim et al. Loss Functions for Top-k Error: Analysis and Insights. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 1468-1477
Motiian Saeid et al. Information Bottleneck Learning Using Privileged Information for Visual Recognition. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 1496-1505
Mollahosseini Ali et al. Facial Expression Recognition from World Wild Web. (2016) Megjelent: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) pp. 1509-1516
Feichtenhofer Christoph et al. Convolutional Two-Stream Network Fusion for Video Action Recognition. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 1933-1941
Zhu Zhe et al. Traffic-Sign Detection and Classification in the Wild. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2110-2118
Wang Keze et al. Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2138-2146
Liu Hongye et al. Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2167-2175
Shankar Sukrit et al. Refining Architectures of Deep Convolutional Neural Networks. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2212-2220
Murthy Venkatesh N. et al. Deep Decision Network for Multi-Class Image Classification. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2240-2248
Moosavi-Dezfooli Seyed-Mohsen et al. DeepFool: a simple and accurate method to fool deep neural networks. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2574-2582
Iandola Forrest N. et al. FireCaffe: near-linear acceleration of deep neural network training on compute clusters. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2592-2600
Jacobsen Jorn-Henrik et al. Structured Receptive Fields in CNNs. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2610-2619
Zhang Hanwang et al. Online Collaborative Learning for Open-Vocabulary Visual Classifiers. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2809-2817
Szegedy C. et al. Rethinking the Inception Architecture for Computer Vision. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2818-2826
Trung T Pham et al. Efficient Point Process Inference for Large-Scale Object Detection. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2837-2845
Bilen Hakan et al. Weakly Supervised Deep Detection Networks. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2846-2854
Zhou Bolei et al. Learning Deep Features for Discriminative Localization. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2921-2929
Wei Zijun et al. Region Ranking SVM for Image Classification. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 2987-2996
Yang Wei et al. End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 3073-3082
Bláha M et al. Large-scale semantic 3D reconstruction: An adaptive multi-resolution model for multi-class volumetric labeling. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 3176-3184
Johannsen O et al. What sparse light field coding reveals about scene structure. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 3262-3270
Sun Chen et al. ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 3485-3493
Máttyus Gellért Sándor et al. HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. (2016) Megjelent: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) pp. 3611-3619
Chen Liang-Chieh et al. Attention to Scale: Scale-aware Semantic Image Segmentation. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 3640-3649
Littwin Etai et al. The Multiverse Loss for Robust Transfer Learning. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 3957-3966
Wang Wencheng et al. Constructing Canonical Regions for Fast and Effective View Selection. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 4114-4122
Natola F et al. Single image object modeling based on BRDF and r-surfaces learning. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 4414-4423
Johnson Justin et al. DenseCap: Fully Convolutional Localization Networks for Dense Captioning. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 4565-4574
Tapaswi Makarand et al. MovieQA: Understanding Stories in Movies through Question-Answering. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 4631-4640
Wei Shih-En et al. Convolutional Pose Machines. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 4724-4732
Carreira Joao et al. Human Pose Estimation with Iterative Error Feedback. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 4733-4742
Peng Zhang et al. Yin and Yang: Balancing and Answering Binary Visual Questions. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5014-5022
Marcos D et al. Geospatial correspondences for multimodal registration. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5091-5100
Canévet O et al. Large scale hard sample mining with Monte Carlo Tree Search. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5128-5137
Changpinyo Soravit et al. Synthesized Classifiers for Zero-Shot Learning. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5327-5336
Flynn John et al. DeepStereo: Learning to Predict New Views from the World's Imagery. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5515-5524
Sikka Karan et al. LOMo: Latent Ordinal Model for Facial Analysis in Videos. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5580-5589
Zhang Jianming et al. Unconstrained Salient Object Detection via Proposal Subset Optimization. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5733-5742
Kruthiventi Srinivas S. et al. Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5781-5790
Shah Sohil et al. Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5906-5915
Al-Halah Ziad et al. Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 5975-5984
Jan D Wegner et al. Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 6014-6023
Massa Francisco et al. Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. (2016) Megjelent: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 pp. 6024-6033
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