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08/24/2023
Label Budget Allocation in Multi-Task Learning
The cost of labeling data often limits the performance of machine learni...
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10/19/2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Recent advances in semi-supervised learning (SSL) demonstrate that a com...
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08/09/2020
Feature Space Augmentation for Long-Tailed Data
Real-world data often follow a long-tailed distribution as the frequency...
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01/16/2020
Vision Meets Drones: Past, Present and Future
Drones, or general UAVs, equipped with cameras have been fast deployed w...
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12/10/2018
Learning Non-Uniform Hypergraph for Multi-Object Tracking
The majority of Multi-Object Tracking (MOT) algorithms based on the trac...
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11/06/2018
Evolvement Constrained Adversarial Learning for Video Style Transfer
Video style transfer is a useful component for applications such as augm...
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09/16/2018
Robust Adversarial Perturbation on Deep Proposal-based Models
Adversarial noises are useful tools to probe the weakness of deep learni...
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07/23/2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Pedestrian detection in crowded scenes is a challenging problem since th...
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04/20/2018
Vision Meets Drones: A Challenge
In this paper we present a large-scale visual object detection and track...
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11/18/2017
