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07/18/2022
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
Optical flow is an easily conceived and precious cue for advancing unsup...
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07/13/2022
Rapid Person Re-Identification via Sub-space Consistency Regularization
Person Re-Identification (ReID) matches pedestrians across disjoint came...
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03/26/2021
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Semantic segmentation aims to classify every pixel of an input image. Co...
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03/24/2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
Due to the memorization effect in Deep Neural Networks (DNNs), training ...
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02/22/2021
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
One-shot semantic image segmentation aims to segment the object regions ...
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01/23/2021
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
Labeling objects at a subordinate level typically requires expert knowle...
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08/06/2020
Data-driven Meta-set Based Fine-Grained Visual Classification
Constructing fine-grained image datasets typically requires domain-speci...
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06/07/2019
Extracting Visual Knowledge from the Internet: Making Sense of Image Data
Recent successes in visual recognition can be primarily attributed to fe...
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06/04/2019
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification
Person re-identification aims to establish the correct identity correspo...
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05/26/2019
Road Segmentation with Image-LiDAR Data Fusion
Robust road segmentation is a key challenge in self-driving research. Th...
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05/16/2018
Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification
Person re-identification aims to match a person's identity across multip...
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11/20/2017
Let Features Decide for Themselves: Feature Mask Network for Person Re-identification
Person re-identification aims at establishing the identity of a pedestri...
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08/22/2017
Towards Automatic Construction of Diverse, High-quality Image Dataset
The availability of labeled image datasets has been shown critical for h...
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03/16/2017
Refining Image Categorization by Exploiting Web Images and General Corpus
Studies show that refining real-world categories into semantic subcatego...
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11/22/2016
Exploiting Web Images for Dataset Construction: A Domain Robust Approach
Labelled image datasets have played a critical role in high-level image ...
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12/02/2014
Hashing on Nonlinear Manifolds
Learning based hashing methods have attracted considerable attention due...
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04/04/2013