Tang Xiao'ou Chinese computer scientist
Tang, Xiaoou
Tang, Xiaoou, 1968-2023
VIAF ID: 272120494 (Personal)
Permalink: http://viaf.org/viaf/272120494
Preferred Forms
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100 0 _
‡a
Tang Xiao'ou
‡c
Chinese computer scientist
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100 1 _
‡a
Tang, Xiaoou
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100 1 _
‡a
Tang, Xiaoou
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100 1 _ ‡a Tang, Xiaoou
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100 1 _ ‡a Tang, Xiaoou
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100 1 _ ‡a Tang, Xiaoou
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100 1 _ ‡a Tang, Xiaoou, ‡d 1968-2023
4xx's: Alternate Name Forms (4)
Works
| Title | Sources |
|---|---|
| 2D shape matching by contour flexibility |
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| 3-D modeling from a single view of a symmetric object |
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| AMFG 2005 |
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| Analysis and modelling of faces and gestures, c2005: |
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| Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval. |
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| Bilinear analysis for kernel selection and nonlinear feature extraction. |
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| Cat Head Detection - How to Effectively Exploit Shape and Texture Features |
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| Correspondence propagation with weak priors. |
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| Cyclizing Clusters via Zeta Function of a Graph |
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| Deep Imbalanced Learning for Face Recognition and Attribute Prediction |
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| Deep Learning Markov Random Field for Semantic Segmentation |
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| Depth from water reflection |
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| Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm |
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| Discriminative Sparse Neighbor Approximation for Imbalanced Learning |
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| Evolutionary search for faces from line drawings |
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| Face photo-sketch synthesis and recognition |
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| Face verification with balanced thresholds. |
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| Faceness-Net: Face Detection through Deep Facial Part Responses |
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| Formulating face verification with semidefinite programming |
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| From tiger to panda: animal head detection. |
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| Full-frame video stabilization with motion inpainting |
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| Guest editorial special issue on underwater image and video processing |
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| Guided image filtering |
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| Image segmentation by MAP-ML estimations. |
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| Image Super-Resolution Using Deep Convolutional Networks |
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| Image transformation based on learning dictionaries across image spaces |
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| Insignificant shadow detection for video segmentation |
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| IntentSearch: Capturing User Intention for One-Click Internet Image Search |
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| InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs |
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| Latent Hierarchical Model of Temporal Structure for Complex Activity Classification |
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| Learning Deep Representation for Face Alignment with Auxiliary Attributes |
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| Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction |
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| Learning to detect a salient object. |
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| A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization |
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| Local Similarity-Aware Deep Feature Embedding |
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| Measuring Crowd Collectiveness |
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| Mode-kn Factor Analysis for image ensembles. |
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| Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations |
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| Nonparametric discriminant analysis for face recognition. |
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| Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern |
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| Path-Restore: Learning Network Path Selection for Image Restoration |
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| Rank-one projections with adaptive margins for face recognition |
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| A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors |
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| Robust 3D Face Recognition by Local Shape Difference Boosting |
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| Single Image Haze Removal Using Dark Channel Prior |
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| A spatial-temporal approach for video caption detection and recognition |
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| Stereo correspondence with occlusion handling in a symmetric patch-based graph-cuts model. |
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| Temporal Segment Networks for Action Recognition in Videos |
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| A theory of phase singularities for image representation and its applications to object tracking and image matching |
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| Trace ratio vs. ratio trace for dimensionality reduction |
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| A unified framework for subspace face recognition |
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| Unsupervised object segmentation with a hybrid graph model (HGM). |
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| Web Image Re-Ranking UsingQuery-Specific Semantic Signatures |
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| What the back of the object looks like: 3D reconstruction from line drawings without hidden lines |
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| Which Components are Important for Interactive Image Searching? |
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| Zeta Hull Pursuits: Learning Nonconvex Data Hulls |
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