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One for More: Selecting Generalizable Samples for Generalizable ReID Model
Current training objectives of existing person Re-IDentification (ReID) ...
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Contextual Heterogeneous Graph Network for Human-Object Interaction Detection
Human-object interaction(HOI) detection is an important task for underst...
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Devil's in the Detail: Graph-based Key-point Alignment and Embedding for Person Re-ID
Although Person Re-Identification has made impressive progress, difficul...
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Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
In the conventional person Re-ID setting, it is widely assumed that crop...
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Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
The objective of action quality assessment is to score sports videos. Ho...
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MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection
We address the weakly supervised video highlight detection problem for l...
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Adaptive Interaction Modeling via Graph Operations Search
Interaction modeling is important for video action analysis. Recently, s...
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Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
Important people detection is to automatically detect the individuals wh...
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Weakly supervised discriminative feature learning with state information for person identification
Unsupervised learning of identity-discriminative visual feature is appea...
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Person Re-identification by Contour Sketch under Moderate Clothing Change
Person re-identification (re-id), the process of matching pedestrian ima...
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Weakly Supervised Tracklet Person Re-Identification by Deep Feature-wise Mutual Learning
The scalability problem caused by the difficulty in annotating Person Re...
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Dual Illumination Estimation for Robust Exposure Correction
Exposure correction is one of the fundamental tasks in image processing ...
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Batch Face Alignment using a Low-rank GAN
This paper studies the problem of aligning a set of face images of the s...
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DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision
We focus on explicitly learning disentangled representation for natural ...
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Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM
Most of current Convolution Neural Network (CNN) based methods for optic...
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Enhancing Underexposed Photos using Perceptually Bidirectional Similarity
This paper addresses the problem of enhancing underexposed photos. Exist...
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Cross-view Relation Networks for Mammogram Mass Detection
Mammogram is the most effective imaging modality for the mass lesion det...
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Deep Dual Relation Modeling for Egocentric Interaction Recognition
Egocentric interaction recognition aims to recognize the camera wearer's...
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Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
Visible watermark plays an important role in image copyright protection ...
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A Block Decomposition Algorithm for Sparse Optimization
Sparse optimization is a central problem in machine learning and compute...
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Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
In conventional domain adaptation, a critical assumption is that there e...
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A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition
Current researches of action recognition mainly focus on single-view and...
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Weakly Supervised Person Re-Identification
In the conventional person re-id setting, it is assumed that the labeled...
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Learning to Learn Relation for Important People Detection in Still Images
Humans can easily recognize the importance of people in social event ima...
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Unsupervised Person Re-identification by Soft Multilabel Learning
Although unsupervised person re-identification (RE-ID) has drawn increas...
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Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding
Person re-identification (Re-ID) aims to match identities across non-ove...
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Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images
Early diagnosis of pulmonary nodules (PNs) can improve the survival rate...
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Improving Fast Segmentation With Teacher-student Learning
Recently, segmentation neural networks have been significantly improved ...
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Adversarial Open-World Person Re-Identification
In a typical real-world application of re-id, a watch-list (gallery set)...
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MIXGAN: Learning Concepts from Different Domains for Mixture Generation
In this work, we present an interesting attempt on mixture generation: a...
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A Generalized Matrix Splitting Algorithm
Composite function minimization captures a wide spectrum of applications...
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A Decomposition Algorithm for Sparse Generalized Eigenvalue Problem
Sparse generalized eigenvalue problem arises in a number of standard and...
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Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images
White matter hyperintensities (WMH) are commonly found in the brains of ...
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Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification
Attribute based person re-identification (Re-ID) aims to search persons ...
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A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection
Sparse inverse covariance selection is a fundamental problem for analyzi...
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One-pass Person Re-identification by Sketch Online Discriminant Analysis
Person re-identification (re-id) is to match people across disjoint came...
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PersonRank: Detecting Important People in Images
Always, some individuals in images are more important/attractive than ot...
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Latent Embeddings for Collective Activity Recognition
Rather than simply recognizing the action of a person individually, coll...
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Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification
While metric learning is important for Person re-identification (RE-ID),...
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Online Hashing
Although hash function learning algorithms have achieved great success i...
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Robust Depth-based Person Re-identification
Person re-identification (re-id) aims to match people across non-overlap...
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Person Re-Identification by Camera Correlation Aware Feature Augmentation
The challenge of person re-identification (re-id) is to match individual...
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An Enhanced Deep Feature Representation for Person Re-identification
Feature representation and metric learning are two critical components i...
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Human Re-identification by Matching Compositional Template with Cluster Sampling
This paper aims at a newly raising task in visual surveillance: re-ident...
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