When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach

T Ma, B Bai, H Lin, H Wang, Y Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Visual grounding refers to the process of associating natural language expressions with
corresponding regions within an image. Existing benchmarks for visual grounding primarily …

GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes

H Lin, C Wei, L He, Y Guo, Y Zhao… - Proceedings of the …, 2024 - openaccess.thecvf.com
Pedestrian trajectory prediction is a well-established task with significant recent
advancements. However existing datasets are unable to fulfill the demand for studying …

ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing

K Thakral, S Prasad, S Aswani… - Proceedings of the …, 2024 - openaccess.thecvf.com
The rapid evolution of automatic facial indexing tech-nologies increases the risk of
compromising personal and sensitive information. To address the issue we propose cre …

Privacy-preserving Optics for Enhancing Protection in Face De-identification

J Lopez, C Hinojosa, H Arguello… - Proceedings of the …, 2024 - openaccess.thecvf.com
The modern surge in camera usage alongside widespread computer vision technology
applications poses significant privacy and security concerns. Current artificial intelligence …

Latent Representation Reorganization for Face Privacy Protection

Z Kuang, J Lu, C Hong, H Huang, S Zhu… - Proceedings of the …, 2024 - dl.acm.org
The issue of face privacy protection has aroused wide social concern along with the
increasing applications of face images. The latest methods focus on achieving a good …

Face De-identification: State-of-the-art Methods and Comparative Studies

J Cao, X Chen, B Liu, M Ding, R Xie, L Song… - arXiv preprint arXiv …, 2024 - arxiv.org
The widespread use of image acquisition technologies, along with advances in facial
recognition, has raised serious privacy concerns. Face de-identification usually refers to the …

Identity-Obscured Neural Radiance Fields: Privacy-Preserving 3D Facial Reconstruction

J Kong, B Xu, X Song, C Qian, J Luo, Y He - arXiv preprint arXiv …, 2023 - arxiv.org
Neural radiance fields (NeRF) typically require a complete set of images taken from multiple
camera perspectives to accurately reconstruct geometric details. However, this approach …

Image Privacy Protection: A Survey

W Wen, Z Yuan, Y Zhang, T Wang, X Xiao… - arXiv preprint arXiv …, 2024 - arxiv.org
Images serve as a crucial medium for communication, presenting information in a visually
engaging format that facilitates rapid comprehension of key points. Meanwhile, during …

Detect People's Faces and Protect Them by Providing High Privacy Based on Deep Learning

M Haider AbdAlkreem, R Sadoon Salman… - Tehnički …, 2024 - hrcak.srce.hr
Sažetak Facial privacy is essential in our time due to the violations that occur due to the
proliferation of social media and people's primary dependence on it. Facial features can be …

[PDF][PDF] Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images

J Kong, X Song, S Huai, B Xu, J Luo, Y He - 2025 - researchgate.net
While 3D head reconstruction is widely used for modeling, existing neural reconstruction
approaches rely on highresolution multi-view images, posing notable privacy issues …