Search Results for author:
Found 9 papers, 2 papers with code
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
In this paper, we carry out in-depth analysis to understand to what degree the state-of-the-art disentangled representation learning methods truly separate the appearance information from the pose one.
Learning Transferable Adversarial Perturbations
While effective, deep neural networks (DNNs) are vulnerable to adversarial attacks.
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
While these methods were shown to be vulnerable to adversarial attacks, as most deep networks for visual recognition tasks, the existing attacks for VOT trackers all require perturbing the search region of every input frame to be effective, which comes at a non-negligible cost, considering that VOT is a real-time task.
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features
In this paper, we identify the proximity of the latent representations of different classes in fine-grained recognition networks as a key factor to the success of adversarial attacks.
Indirect Local Attacks for Context-aware Semantic Segmentation Networks
Recently, deep networks have achieved impressive semantic segmentation performance, in particular thanks to their use of larger contextual information.
Interpretable BoW Networks for Adversarial Example Detection
The reason behind the prediction for a new sample can then be interpreted by looking at the visual representation of the most highly activated codeword.
My camera can see through fences: A deep learning approach for image de-fencing
In recent times, the availability of inexpensive image capturing devices such as smartphones/tablets has led to an exponential increase in the number of images/videos captured.
Deep Attentional Structured Representation Learning for Visual Recognition
Structured representations, such as Bags of Words, VLAD and Fisher Vectors, have proven highly effective to tackle complex visual recognition tasks.
Automatic Image De-fencing System
Tourists and Wild-life photographers are often hindered in capturing their cherished images or videos by a fence that limits accessibility to the scene of interest.
