418 citations · 3.5k across the 221 of their papers we have counts for
16 papers · 1 filter
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…
The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek +6
The 3rd annual installment of the ActivityNet Large- Scale Activity Recognition Challenge, held as a full-day workshop in CVPR 2018, focused on the recognition of daily life, high-…
Diagnosing Error in Temporal Action Detectors
Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia +1
Despite the recent progress in video understanding and the continuous rate of improvement in temporal action localization throughout the years, it is still unclear how far (or clos…
A Generalized Matrix Splitting Algorithm
Ganzhao Yuan, Wei-Shi Zheng, Li Shen +1
Composite function minimization captures a wide spectrum of applications in both computer vision and machine learning. It includes bound constrained optimization, norm reg…
Improving SAGA via a Probabilistic Interpolation with Gradient Descent
Adel Bibi, Alibek Sailanbayev, Bernard Ghanem +2
We develop and analyze a new algorithm for empirical risk minimization, which is the key paradigm for training supervised machine learning models. Our method---SAGD---is based on a…
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
Silvio Giancola, Mohieddine Amine, Tarek Dghaily +1
In this paper, we introduce SoccerNet, a benchmark for action spotting in soccer videos. The dataset is composed of 500 complete soccer games from six main European leagues, coveri…
Supervised Convolutional Sparse Coding
Lama Affara, Bernard Ghanem, Peter Wonka
Convolutional Sparse Coding (CSC) is a well-established image representation model especially suited for image restoration tasks. In this work, we extend the applicability of this…
Guess Where? Actor-Supervision for Spatiotemporal Action Localization
Victor Escorcia, Cuong D. Dao, Mihir Jain +2
This paper addresses the problem of spatiotemporal localization of actions in videos. Compared to leading approaches, which all learn to localize based on carefully annotated boxes…
Driving Policy Transfer via Modularity and Abstraction
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem +1
End-to-end approaches to autonomous driving have high sample complexity and are difficult to scale to realistic urban driving. Simulation can help end-to-end driving systems by pro…
Multi-label Learning with Missing Labels using Mixed Dependency Graphs
Baoyuan Wu, Fan Jia, Wei Liu +2
This work focuses on the problem of multi-label learning with missing labels (MLML), which aims to label each test instance with multiple class labels given training instances that…
Tagging like Humans: Diverse and Distinct Image Annotation
Baoyuan Wu, Weidong Chen, Peng Sun +3
In this work we propose a new automatic image annotation model, dubbed {\bf diverse and distinct image annotation} (D2IA). The generative model D2IA is inspired by the ensemble of…
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…
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…
L0TV: A Sparse Optimization Method for Impulse Noise Image Restoration
Ganzhao Yuan, Bernard Ghanem
Total Variation (TV) is an effective and popular prior model in the field of regularization-based image processing. This paper focuses on total variation for removing impulse noise…
Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction pipeline
Silvio Giancola, Jens Schneider, Peter Wonka +1
In this paper, we show how absolute orientation measurements provided by low-cost but high-fidelity IMU sensors can be integrated into the KinectFusion pipeline. We show that integ…
Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
Yancheng Bai, Huijuan Xu, Kate Saenko +1
Activity detection is a fundamental problem in computer vision. Detecting activities of different temporal scales is particularly challenging. In this paper, we propose the context…