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Machine Vision
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Vision
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journal:(Machine Vision and Applications)
Getting to know low-light images with the Exclusively Dark dataset
Dynamic topology and relevance learning SOM-based algorithm for image clustering tasks
Unsupervised learning from videos using temporal coherency deep networks
Fitting line projections in non-central catadioptric cameras with revolution symmetry
Structured deep hashing with convolutional neural networks for fast person re-identification
Generic spatial-color metric for scale-space processing of catadioptric images
Generic spatial-color metric for scale-space processing of catadioptric images
Sparse weakly supervised models for object localization in road environment
Sparse weakly supervised models for object localization in road environment
Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data
Exploiting deep residual networks for human action recognition from skeletal data
Optimized sampling for view interpolation in light fields using local dictionaries
On illumination-invariant variational optical flow for weakly textured scenes
Heterogeneous hand gesture recognition using 3D dynamic skeletal data
Diffusion and inpainting of reflectance and height LiDAR orthoimages
Toward analyzing mutual interference on infrared-enabled depth cameras
Encoding pairwise Hamming distances of Local Binary Patterns for visual smoke recognition
Image Understanding using vision and reasoning through Scene Description Graph
CNN-based features for retrieval and classification of food images
CNN-based features for retrieval and classification of food images
A resample strategy and artificial bee colony optimization-based 3d range imaging registration
CuDi3D: Curvilinear displacement based approach for online 3D action detection
Hierarchical semantic image matching using CNN feature pyramid
A differential geometry approach to camera-independent image correspondence
VideoLSTM convolves, attends and flows for action recognition
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs
Ordinal space projection learning via neighbor classes representation
Robust visual data segmentation: Sampling from distribution of model parameters
Looking beyond appearances: Synthetic training data for deep CNNs in re-identification
Biometric recognition by gait: A survey of modalities and features
Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations
Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations