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03/11/2022
Deep Class Incremental Learning from Decentralized Data
In this paper, we focus on a new and challenging decentralized machine l...
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12/31/2021
Scene-Adaptive Attention Network for Crowd Counting
In recent years, significant progress has been made on the research of c...
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11/04/2021
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay – 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual
Online continual learning in the wild is a very difficult task in machin...
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07/21/2021
Anomaly Detection via Self-organizing Map
Anomaly detection plays a key role in industrial manufacturing for produ...
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07/04/2021
Direct Measure Matching for Crowd Counting
Traditional crowd counting approaches usually use Gaussian assumption to...
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05/31/2021
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
In this paper, we focus on the multi-object tracking (MOT) problem of au...
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04/23/2020
Few-Shot Class-Incremental Learning
The ability to incrementally learn new classes is crucial to the develop...
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10/30/2019
Universal Adversarial Perturbations Against Person Re-Identification
Person re-identification (re-ID) has made great progress and achieved hi...
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08/10/2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
In crowd counting datasets, each person is annotated by a point, which i...
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07/04/2018
Discriminative Feature Learning with Foreground Attention for Person Re-Identification
The performance of person re-identification (Re-ID) seriously depends on...
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10/07/2017
Deep Self-Paced Learning for Person Re-Identification
Person re-identification (Re-ID) usually suffers from noisy samples with...
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10/05/2017
Tracking Persons-of-Interest via Unsupervised Representation Adaptation
Multi-face tracking in unconstrained videos is a challenging problem as ...
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08/18/2017
Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification
Person re-identification (Re-ID) aims at matching images of the same per...
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07/25/2017
Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification
Learning the distance metric between pairs of examples is of great impor...
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03/31/2017
Single Image Super Resolution - When Model Adaptation Matters
In the recent years impressive advances were made for single image super...
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05/20/2016
Superpixel Hierarchy
Superpixel segmentation is becoming ubiquitous in computer vision. In pr...
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03/23/2016
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
Single modality action recognition on RGB or depth sequences has been ex...
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10/22/2014