output
20122026
most citedLearning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 4 cited

Neural Outlier Rejection for Self-Supervised Keypoint Learning

Jiexiong Tang, Hanme Kim, Vitor Guizilini +2

Identifying salient points in images is a crucial component for visual odometry, Structure-from-Motion or SLAM algorithms. Recently, several learned keypoint methods have demonstra…

cs.CV2019

Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core

Wadim Kehl, Federico Tombari, Slobodan Ilic +1

We present a novel method to track 3D models in color and depth data. To this end, we introduce approximations that accelerate the state-of-the-art in region-based tracking by an o…

cs.CV2019

Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors

Sergey Zakharov, Wadim Kehl, Arjun Bhargava +1

We present an automatic annotation pipeline to recover 9D cuboids and 3D shapes from pre-trained off-the-shelf 2D detectors and sparse LIDAR data. Our autolabeling method solves an…

cs.LG2019★ 226 cited

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Kaidi Cao, Colin Wei, Adrien Gaidon +2

Deep learning algorithms can fare poorly when the training dataset suffers from heavy class-imbalance but the testing criterion requires good generalization on less frequent classe…

cs.LG2019★ 12 cited

Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction

Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru +1

Deep Neural Networks (DNNs) have tremendous potential in advancing the vision for self-driving cars. However, the security of DNN models in this context leads to major safety impli…