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07/31/2021
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
The target representation learned by convolutional neural networks plays...
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04/28/2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
GANs largely increases the potential impact of generative models. Theref...
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03/30/2020
Semi-supervised Learning for Few-shot Image-to-Image Translation
In the last few years, unpaired image-to-image translation has witnessed...
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12/11/2019
MineGAN: effective knowledge transfer from GANs to target domains with few images
One of the attractive characteristics of deep neural networks is their a...
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11/22/2019
Orderless Recurrent Models for Multi-label Classification
Recurrent neural networks (RNN) are popular for many computer vision tas...
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11/20/2019
Active Learning for Deep Detection Neural Networks
The cost of drawing object bounding boxes (i.e. labeling) for millions o...
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08/30/2019
Temporal Coherence for Active Learning in Videos
Autonomous driving systems require huge amounts of data to train. Manual...
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08/30/2019
Multi-Modal Fusion for End-to-End RGB-T Tracking
We propose an end-to-end tracking framework for fusing the RGB and TIR m...
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08/19/2019
SDIT: Scalable and Diverse Cross-domain Image Translation
Recently, image-to-image translation research has witnessed remarkable p...
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08/02/2019
Learning the Model Update for Siamese Trackers
Siamese approaches address the visual tracking problem by extracting an ...
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07/23/2019
Controlling biases and diversity in diverse image-to-image translation
The task of unpaired image-to-image translation is highly challenging du...
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08/01/2018
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
This paper investigates the role of saliency to improve the classificati...
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06/04/2018
Synthetic data generation for end-to-end thermal infrared tracking
The usage of both off-the-shelf and end-to-end trained deep networks hav...
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05/24/2018
Image-to-image translation for cross-domain disentanglement
Deep image translation methods have recently shown excellent results, ou...
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05/04/2018
Transferring GANs: generating images from limited data
Transferring the knowledge of pretrained networks to new domains by mean...
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03/28/2017
Objects as context for detecting their semantic parts
We present a semantic part detection approach that effectively leverages...
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07/13/2016
Do semantic parts emerge in Convolutional Neural Networks?
Semantic object parts can be useful for several visual recognition tasks...
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12/11/2014