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CSC-GAN: Cycle and Semantic Consistency for Dataset Augmentation
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Large Scale Multi-view Stereopsis Evaluation
The seminal multiple view stereo benchmark evaluations from Middlebury and by Strecha et al. have played a major role in propelling the development of multi-view stereopsis methodology. Although seminal, these benchmark datasets are limited in scope with few reference scenes.…
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A Deep Reinforcement Learning Agent for Traffic Intersection Control Optimization
The efficiency of traffic flows in urban areas largely depends on signal operation. The state-of-the-art traffic signal control strategies are not able to efficiently deal with varying or over-saturated conditions. To optimize the performance of existing traffic signal infrastructure, we…
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Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
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Domain Adaptation for Reinforcement Learning on the Atari
Deep Reinforcement learning is a powerful machine learning paradigm that has had significant success across a wide range of control problems. This success often requires long training times to achieve. Observing that many problems share similarities, it is likely that…
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Traffic3D: A New Traffic Simulation Paradigm
The field of Deep Reinforcement Learning has evolved significantly over the last few years. However, an important and not yet fully-attained goal is to produce intelligent agents which can be successfully taken out of the laboratory and employed in the…
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Dress Like a Star: Retrieving Fashion Products from Videos
This work proposes a system for retrieving clothing and fashion products from video content. Although films and television are the perfect showcase for fashion brands to promote their products, spectators are not always aware of where to buy the latest…
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rcGAN: Learning a Generative Model for Arbitrary Size Image Generation
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Using frontier points to recover shape, reflectance and illumination
We describe a method to recover the surface reflectance and the 3D shape of a non-Lambertian object as well as illumination, from a collection of images. It is based on the so-called frontier points, which are extracted from the outlines…
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Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration
