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Deep Learning Face Attributes in the Wild
TLDR
We propose a novel deep learning framework for attribute prediction in the wild, which outperforms the state-of-the-art with a large margin. Expand
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Pyramid Scene Parsing Network
TLDR
We exploit the capability of global context information by different-region-based context aggregation through pyramid pooling module together with the proposed pyramid scene parsing network (PSPNet). Expand
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DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
TLDR
We propose a novel filter pairing neural network (FPNN) to jointly handle misalignment, photometric and geometric transforms, occlusions and background clutter. Expand
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DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
TLDR
We introduce DeepFashion, a comprehensively annotated clothes dataset that contains massive attributes, clothing landmarks, as well as cross-pose/cross-domain correspondences of clothing pairs. Expand
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StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks
TLDR
We propose Stacked Generative Adversarial Networks (StackGAN) to generate 256.256 photo-realistic images conditioned on text descriptions. Expand
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Deep Learning Face Representation by Joint Identification-Verification
TLDR
The key challenge of face recognition is to develop effective feature representations for reducing intra-personal variations while enlarging inter-personal differences. Expand
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Human Reidentification with Transferred Metric Learning
Human reidentification is to match persons observed in non-overlapping camera views with visual features for inter-camera tracking. The ambiguity increases with the number of candidates to beExpand
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Residual Attention Network for Image Classification
TLDR
In this work, we propose Residual Attention Network, a convolutional neural network using attention mechanism which can incorporate with state-of-the-art feed forward network architecture in an end-to-end training fashion. Expand
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Unsupervised Salience Learning for Person Re-identification
TLDR
We apply adjacency constrained patch matching to build dense correspondence between image pairs, which shows effectiveness in handling misalignment caused by large viewpoint and pose variations. Expand
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Deep Learning Face Representation from Predicting 10,000 Classes
TLDR
This paper proposes to learn a set of high-level feature representations through deep learning, referred to as Deep hidden IDentity features (DeepID), for face verification. Expand
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