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Egocentric vision is an emerging field of computer vision that is characterized by the acquisition of images and video from the first person perspective. In this paper we address the challenge of egocentric human action recognition by…

Computer Vision and Pattern Recognition · Computer Science 2019-05-03 Georgios Kapidis , Ronald Poppe , Elsbeth van Dam , Lucas P. J. J. Noldus , Remco C. Veltkamp

As airborne vehicles are becoming more autonomous and ubiquitous, it has become vital to develop the capability to detect the objects in their surroundings. This paper attempts to address the problem of drones detection from other flying…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Muhammad Waseem Ashraf , Waqas Sultani , Mubarak Shah

Automatic detection of weapons is significant for improving security and well being of individuals, nonetheless, it is a difficult task due to large variety of size, shape and appearance of weapons. View point variations and occlusion also…

Computer Vision and Pattern Recognition · Computer Science 2022-09-22 Nazeef Ul Haq , Muhammad Moazam Fraz , Tufail Sajjad Shah Hashmi , Muhammad Shahzad

Camera model identification refers to the problem of linking a picture to the camera model used to shoot it. As this might be an enabling factor in different forensic applications to single out possible suspects (e.g., detecting the author…

Computer Vision and Pattern Recognition · Computer Science 2019-11-15 Pedro Ribeiro Mendes Júnior , Luca Bondi , Paolo Bestagini , Stefano Tubaro , Anderson Rocha

This paper addresses the gaze target detection problem in single images captured from the third-person perspective. We present a multimodal deep architecture to infer where a person in a scene is looking. This spatial model is trained on…

Computer Vision and Pattern Recognition · Computer Science 2022-08-24 Francesco Tonini , Cigdem Beyan , Elisa Ricci

In the face of growing needs for water and energy, a fundamental understanding of the environmental impacts of human activities becomes critical for managing water and energy resources, remedying water pollution, and making regulatory…

Signal Processing · Electrical Eng. & Systems 2019-08-30 Guanjie Zheng , Mengqi Liu , Tao Wen , Hongjian Wang , Huaxiu Yao , Susan L. Brantley , Zhenhui Li

Visual events are usually accompanied by sounds in our daily lives. However, can the machines learn to correlate the visual scene and sound, as well as localize the sound source only by observing them like humans? To investigate its…

Computer Vision and Pattern Recognition · Computer Science 2019-11-22 Arda Senocak , Tae-Hyun Oh , Junsik Kim , Ming-Hsuan Yang , In So Kweon

The source detection problem in network analysis involves identifying the origins of diffusion processes, such as disease outbreaks or misinformation propagation. Traditional methods often focus on single sources, whereas real-world…

Social and Information Networks · Computer Science 2025-07-14 Haomin Li , Daniel K. Sewell

Image stabilization performed during imaging and/or post-processing poses one of the most significant challenges to photo-response non-uniformity based source camera attribution from videos. When performed digitally, stabilization involves…

Image and Video Processing · Electrical Eng. & Systems 2020-11-25 Enes Altinisik , Husrev Taha Sencar

This tutorial aims to cover the state-of-the-art on stance detection and address open research avenues for interested researchers and practitioners. Stance detection is a recent research topic where the stance towards a given target or…

Computation and Language · Computer Science 2022-10-25 Dilek Küçük , Fazli Can

We introduce the active audio-visual source separation problem, where an agent must move intelligently in order to better isolate the sounds coming from an object of interest in its environment. The agent hears multiple audio sources…

Computer Vision and Pattern Recognition · Computer Science 2021-08-27 Sagnik Majumder , Ziad Al-Halah , Kristen Grauman

Recognising in what type of environment one is located is an important perception task. For instance, for a robot operating in indoors it is helpful to be aware whether it is in a kitchen, a hallway or a bedroom. Existing approaches attempt…

Computer Vision and Pattern Recognition · Computer Science 2020-07-06 Shengyu Huang , Mikhail Usvyatsov , Konrad Schindler

Deep learning-based object detection has demonstrated a significant presence in the practical applications of artificial intelligence. However, objects such as fire and smoke, pose challenges to object detection because of their non-solid…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Zeyu Shangguan , Bocheng Hu , Guohua Dai , Yuyu Liu , Darun Tang , Xingqun Jiang

In a world of pervasive cameras, public spaces are often captured from multiple perspectives by cameras of different types, both fixed and mobile. An important problem is to organize these heterogeneous collections of videos by finding…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Mingze Xu , Chenyou Fan , Yuchen Wang , Michael S Ryoo , David J Crandall

News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on mental health or gun regulation, while others may emphasize…

Autonomous driving is regarded as one of the most promising remedies to shield human beings from severe crashes. To this end, 3D object detection serves as the core basis of perception stack especially for the sake of path planning, motion…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Rui Qian , Xin Lai , Xirong Li

With security threats increasing in frequency and severity, it is critical that we consider the important role of threat hunters. These highly-trained security professionals learn to see, identify, and intercept security threats. Many…

Driving safety has drawn much public attention in recent years due to the fast-growing number of cars. Smoking is one of the threats to driving safety but is often ignored by drivers. Existing works on smoking detection either work in…

Sound · Computer Science 2025-04-01 Yadong Xie , Fan Li , Yue Wu , Song Yang , Yu Wang

The increasing global crime rate, coupled with substantial human and property losses, highlights the limitations of traditional surveillance methods in promptly detecting diverse and unexpected acts of violence. Addressing this pressing…

Computer Vision and Pattern Recognition · Computer Science 2025-06-18 Aritra Dutta , Pushpita Boral , G Suseela

The ill-posed projectile problem of finding the source height from spattered droplets of viscous fluid is a longstanding obstacle to accident reconstruction and crime scene analysis. It is widely known how to infer the impact angle of…

Popular Physics · Physics 2015-05-27 Christopher R. Varney , Fred Gittes