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Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime
Dengxin Dai, Luc Van Gool
This work addresses the problem of semantic image segmentation of nighttime scenes. Although considerable progress has been made in semantic image segmentation, it is mainly relate…
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
Christos Sakaridis, Dengxin Dai, Simon Hecker +1
This work addresses the problem of semantic scene understanding under dense fog. Although considerable progress has been made in semantic scene understanding, it is mainly related…
Unified Hypersphere Embedding for Speaker Recognition
Mahdi Hajibabaei, Dengxin Dai
Incremental improvements in accuracy of Convolutional Neural Networks are usually achieved through use of deeper and more complex models trained on larger datasets. However, enlarg…
Failure Prediction for Autonomous Driving
Simon Hecker, Dengxin Dai, Luc Van Gool
The primary focus of autonomous driving research is to improve driving accuracy. While great progress has been made, state-of-the-art algorithms still fail at times. Such failures…
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning
Dengxin Dai, Wen Li, Till Kroeger +1
Manifold theory has been the central concept of many learning methods. However, learning modern CNNs with manifold structures has not raised due attention, mainly because of the in…
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis +2
Object detection typically assumes that training and test data are drawn from an identical distribution, which, however, does not always hold in practice. Such a distribution misma…
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
Simon Hecker, Dengxin Dai, Luc Van Gool
For human drivers, having rear and side-view mirrors is vital for safe driving. They deliver a more complete view of what is happening around the car. Human drivers also heavily ex…
Learning the Synthesizability of Dynamic Texture Samples
Feng Yang, Gui-Song Xia, Dengxin Dai +1
A dynamic texture (DT) refers to a sequence of images that exhibit temporal regularities and has many applications in computer vision and graphics. Given an exemplar of dynamic tex…
Object Referring in Videos with Language and Human Gaze
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
We investigate the problem of object referring (OR) i.e. to localize a target object in a visual scene coming with a language description. Humans perceive the world more as continu…