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20172024
most citedLearning High-Speed Flight in the Wild

351 citations · 1.1k across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2024★ 2 cited

GIM: Learning Generalizable Image Matcher From Internet Videos

Xuelun Shen, Zhipeng Cai, Wei Yin +5

Image matching is a fundamental computer vision problem. While learning-based methods achieve state-of-the-art performance on existing benchmarks, they generalize poorly to in-the-…

cs.CV2019★ 216 cited

DeepGCNs: Making GCNs Go as Deep as CNNs

Guohao Li, Matthias Müller, Guocheng Qian +4

Convolutional Neural Networks (CNNs) have been very successful at solving a variety of computer vision tasks such as object classification and detection, semantic segmentation, act…

cs.CV2019★ 107 cited

DeepGCNs: Can GCNs Go as Deep as CNNs?

Guohao Li, Matthias Müller, Ali Thabet +1

Convolutional Neural Networks (CNNs) achieve impressive performance in a wide variety of fields. Their success benefited from a massive boost when very deep CNN models were able to…

cs.CV2018★ 14 cited

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

Abdullah Hamdi, Matthias Müller, Bernard Ghanem

One major factor impeding more widespread adoption of deep neural networks (DNNs) is their lack of robustness, which is essential for safety-critical applications such as autonomou…

cs.CV2018★ 49 cited

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

Matthias Müller, Adel Bibi, Silvio Giancola +2

Despite the numerous developments in object tracking, further development of current tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, dat…

cs.CV2018★ 5 cited

OIL: Observational Imitation Learning

Guohao Li, Matthias Müller, Vincent Casser +3

Recent work has explored the problem of autonomous navigation by imitating a teacher and learning an end-to-end policy, which directly predicts controls from raw images. However, t…

cs.CV2017★ 183 cited

Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications

Matthias Müller, Vincent Casser, Jean Lahoud +2

We present a photo-realistic training and evaluation simulator (Sim4CV) with extensive applications across various fields of computer vision. Built on top of the Unreal Engine, the…