Papers Human Detection
“Human Detection” 태그가 달린 논문 307편 · 필터 해제
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
As large language models (LLMs) become integrated into sensitive workflows, concerns grow over their potential to leak confidential information. We propose TrojanStego, a novel threat model in which an adversary fine-tun…
Human DetectionLanguage ModelingLanguage ModellingLinguistic steganographyR3GS: Gaussian Splatting for Robust Reconstruction and Relocalization in Unconstrained Image Collections
We propose R3GS, a robust reconstruction and relocalization framework tailored for unconstrained datasets. Our method uses a hybrid representation during training. Each anchor combines a global feature from a convolution…
3DGSHuman DetectionDetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
Person reidentification (ReID) technology has been considered to perform relatively well under controlled, ground-level conditions, but it breaks down when deployed in challenging real-world settings. Evidently, this is …
Action RecognitionFederated Lifelong Person ReIDHuman DetectionPerson RecognitionPerson detection and re-identification in open-world settings of retail stores and public spaces
Practical applications of computer vision in smart cities usually assume system integration and operation in challenging open-world environments. In the case of person re-identification task the main goal is to retrieve …
Human DetectionMarketingPerson Re-IdentificationHardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs
The customizability of RISC-V makes it an attractive choice for accelerating deep neural networks (DNNs). It can be achieved through instruction set extensions and corresponding custom functional units. Yet, efficiently …
Human Detectionimage-classificationImage ClassificationKeyword SpottingFinding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning
In this paper, we address a novel image restoration problem relevant to machine learning dataset curation: the detection and removal of noisy mirrored padding artifacts. While data augmentation techniques like padding ar…
Data AugmentationHuman DetectionImage Restorationobject-detection+2MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition
Action recognition from multi-modal and multi-view observations holds significant potential for applications in surveillance, robotics, and smart environments. However, existing methods often fall short of addressing rea…
Action RecognitionHuman DetectionSensor FusionMultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion
Multi-modal multi-view action recognition is a rapidly growing field in computer vision, offering significant potential for applications in surveillance. However, current datasets often fail to address real-world challen…
Action RecognitionHuman DetectionSensor FusionUAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting
We present UAVTwin, a method for creating digital twins from real-world environments and facilitating data augmentation for training downstream models embedded in unmanned aerial vehicles (UAVs). Specifically, our approa…
3DGSData AugmentationHuman DetectionNeural RenderingAnomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics
This paper showcases an experimental study on anomaly detection using computer vision. The study focuses on class distinction and performance evaluation, combining OpenCV with deep learning techniques while employing a T…
Anomaly DetectionComputational EfficiencyData AugmentationDeep Learning+5Panoramic Distortion-Aware Tokenization for Person Detection and Localization Using Transformers in Overhead Fisheye Images
Person detection methods are used widely in applications including visual surveillance, pedestrian detection, and robotics. However, accurate detection of persons from overhead fisheye images remains an open challenge be…
Human DetectionPedestrian DetectionCharacterizing Photorealism and Artifacts in Diffusion Model-Generated Images
Diffusion model-generated images can appear indistinguishable from authentic photographs, but these images often contain artifacts and implausibilities that reveal their AI-generated provenance. Given the challenge to pu…
Human DetectionIs Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
Prior studies have shown that distinguishing text generated by large language models (LLMs) from human-written one is highly challenging, and often no better than random guessing. To verify the generalizability of this f…
DiversityHuman DetectionUV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping
In recent research, adversarial attacks on person detectors using patches or static 3D model-based texture modifications have struggled with low success rates due to the flexible nature of human movement. Modeling the 3D…
Human DetectionNeRFMixture of Submodules for Domain Adaptive Person Search
Existing technique on domain adaptive person search commonly utilizes the unified framework for jointly localizing and identifying the person across domains. This framework, however, inevitably results in the gradien…
Human DetectionPerson Re-IdentificationPerson SearchTransfer LearningChimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection
Event-based cameras are sensors that simulate the human eye, offering advantages such as high-speed robustness and low power consumption. Established Deep Learning techniques have shown effectiveness in processing event …
Human DetectionNeural Architecture Searchobject-detectionObject Detection+1ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
Existing works on human-centric video understanding typically focus on analyzing specific moment or entire videos. However, many applications require higher precision at the frame level. In this work, we propose a novel …
Human Detectionimage-classificationImage ClassificationPose Estimation+3Traversing the Subspace of Adversarial Patches
Despite ongoing research on the topic of adversarial examples in deep learning for computer vision, some fundamentals of the nature of these attacks remain unclear. As the manifold hypothesis posits, high-dimensional dat…
Dimensionality ReductionHuman DetectionIntelligent Video Recording Optimization using Activity Detection for Surveillance Systems
Surveillance systems often struggle with managing vast amounts of footage, much of which is irrelevant, leading to inefficient storage and challenges in event retrieval. This paper addresses these issues by proposing an …
Action DetectionActivity DetectionHuman DetectionMotion Detection+2Love in Action: Gamifying Public Video Cameras for Fostering Social Relationships in Real World
In this paper, we create "Love in Action" (LIA), a body language-based social game utilizing video cameras installed in public spaces to enhance social relationships in real-world. In the game, participants assume dual r…
Action RecognitionAttributeHuman Detection