Search Results for author:
Found 19 papers, 4 papers with code
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification
To address this, we introduce AG-ReID. v2, a dataset specifically designed for person Re-ID in mixed aerial and ground scenarios.
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
We present a thorough review of the literature on incorporating physics information, as known as physics priors, in reinforcement learning approaches, commonly referred to as physics-informed reinforcement learning (PIRL).
General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation
In this work, we investigate the performance of PerceiverIO, one in the general-purpose multimodal family, in the remote sensing semantic segmentation domain.
Physics-Informed Computer Vision: A Review and Perspectives
We present a systematic literature review of formulation and approaches to computer vision tasks guided by physical laws.
Physical Adversarial Attacks for Surveillance: A Survey
In particular, we propose a framework to analyze physical adversarial attacks and provide a comprehensive survey of physical adversarial attacks on four key surveillance tasks: detection, identification, tracking, and action recognition under this framework.
Aerial-Ground Person Re-ID
Our dataset presents a novel elevated-viewpoint challenge for person re-ID due to the significant difference in person appearance across these cameras.
Deep Learning for Iris Recognition: A Survey
In this survey, we provide a comprehensive review of more than 200 papers, technical reports, and GitHub repositories published over the last 10 years on the recent developments of deep learning techniques for iris recognition, covering broad topics on algorithm designs, open-source tools, open challenges, and emerging research.
Reliable Geofence Activation with Sparse and Sporadic Location Measurements: Extended Version
Complicating this prediction approach is the fact that another location measurement could appear at any time, making the prediction redundant and wasteful.
The State of Aerial Surveillance: A Survey
The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and covert observation capabilities.
Gaussian Process for Trajectories
The Gaussian process is a powerful and flexible technique for interpolating spatiotemporal data, especially with its ability to capture complex trends and uncertainty from the input signal.
In Defense of Scene Graphs for Image Captioning
Several studies have noted that the naive use of scene graphs from a black-box scene graph generator harms image captioning performance and that scene graph-based captioning models have to incur the overhead of explicit use of image features to generate decent captions.
Adversarial Attack on Facial Recognition using Visible Light
This paper presents a final report for an adversarial attack using visible light on facial recognition systems.
Complex-valued Iris Recognition Network
Unlike the problem of general object recognition, where real-valued neural networks can be used to extract pertinent features, iris recognition depends on the extraction of both phase and magnitude information from the input iris texture in order to better represent its biometric content.
Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces
Users concerned about privacy may want to charge more for data that pinpoints their location accurately, but may charge less for data that is more vague.
Constrained Design of Deep Iris Networks
On the other hand, it allows us to investigate the optimality of the classic IrisCode and recent iris networks.
Semantic Correspondence: A Hierarchical Approach
Localizing the search space by semantically matching object-level correspondence, our method robustly handles large deformations of objects.
Sparse Over-complete Patch Matching
State -of-the-art patch matching techniques take image patches as input to a convolutional neural network to extract the patch features and evaluate their similarity.
Meta Transfer Learning for Facial Emotion Recognition
The use of deep learning techniques for automatic facial expression recognition has recently attracted great interest but developed models are still unable to generalize well due to the lack of large emotion datasets for deep learning.
Deep Classification of Epileptic Signals
Electrophysiological observation plays a major role in epilepsy evaluation.
