418 citations · 3.5k across the 221 of their papers we have counts for
11 papers · 1 filter
A Novel Framework for Robustness Analysis of Visual QA Models
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly +1
Deep neural networks have been playing an essential role in many computer vision tasks including Visual Question Answering (VQA). Until recently, the study of their accuracy was th…
ActivityNet Challenge 2017 Summary
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek +6
The ActivityNet Large Scale Activity Recognition Challenge 2017 Summary: results and challenge participants papers.
Fast Convolutional Sparse Coding in the Dual Domain
Lama Affara, Bernard Ghanem, Peter Wonka
Convolutional sparse coding (CSC) is an important building block of many computer vision applications ranging from image and video compression to deep learning. We present two cont…
Robustness Analysis of Visual QA Models by Basic Questions
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly +2
Visual Question Answering (VQA) models should have both high robustness and accuracy. Unfortunately, most of the current VQA research only focuses on accuracy because there is a la…
Learning Rotation for Kernel Correlation Filter
Abdullah Hamdi, Bernard Ghanem
Kernel Correlation Filters have shown a very promising scheme for visual tracking in terms of speed and accuracy on several benchmarks. However it suffers from problems that affect…
Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation
Matthias Müller, Vincent Casser, Neil Smith +2
Automating the navigation of unmanned aerial vehicles (UAVs) in diverse scenarios has gained much attention in recent years. However, teaching UAVs to fly in challenging environmen…
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…
Multi-Branch Fully Convolutional Network for Face Detection
Yancheng Bai, Bernard Ghanem
Face detection is a fundamental problem in computer vision. It is still a challenging task in unconstrained conditions due to significant variations in scale, pose, expressions, an…
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
Jian Zhang, Bernard Ghanem
With the aim of developing a fast yet accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine in this paper the merits of two existing categori…
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
Humam Alwassel, Fabian Caba Heilbron, Bernard Ghanem
State-of-the-art temporal action detectors inefficiently search the entire video for specific actions. Despite the encouraging progress these methods achieve, it is crucial to desi…
VQABQ: Visual Question Answering by Basic Questions
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem
Taking an image and question as the input of our method, it can output the text-based answer of the query question about the given image, so called Visual Question Answering (VQA).…