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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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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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Orderless Recurrent Models for Multi-label Classification
Recurrent neural networks (RNN) are popular for many computer vision tas...
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Active Learning for Deep Detection Neural Networks
The cost of drawing object bounding boxes (i.e. labeling) for millions o...
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Temporal Coherence for Active Learning in Videos
Autonomous driving systems require huge amounts of data to train. Manual...
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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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SDIT: Scalable and Diverse Cross-domain Image Translation
Recently, image-to-image translation research has witnessed remarkable p...
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Learning the Model Update for Siamese Trackers
Siamese approaches address the visual tracking problem by extracting an ...
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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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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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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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Image-to-image translation for cross-domain disentanglement
Deep image translation methods have recently shown excellent results, ou...
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Transferring GANs: generating images from limited data
Transferring the knowledge of pretrained networks to new domains by mean...
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Objects as context for detecting their semantic parts
We present a semantic part detection approach that effectively leverages...
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Do semantic parts emerge in Convolutional Neural Networks?
Semantic object parts can be useful for several visual recognition tasks...
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An active search strategy for efficient object class detection
Object class detectors typically apply a window classifier to all the wi...
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