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Related papers: Versailles-FP dataset: Wall Detection in Ancient

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Recent advances in AIGC have exacerbated the misuse of malicious deepfake content, making the development of reliable deepfake detection methods an essential means to address this challenge. Although existing deepfake detection models…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Changtao Miao , Yi Zhang , Weize Gao , Zhiya Tan , Weiwei Feng , Man Luo , Jianshu Li , Ajian Liu , Yunfeng Diao , Qi Chu , Tao Gong , Zhe Li , Weibin Yao , Joey Tianyi Zhou

A master face is a face image that passes face-based identity authentication for a high percentage of the population. These faces can be used to impersonate, with a high probability of success, any user, without having access to any user…

Cryptography and Security · Computer Science 2022-11-29 Tomer Friedlander , Ron Shmelkin , Lior Wolf

The evolution of digital image manipulation, particularly with the advancement of deep generative models, significantly challenges existing deepfake detection methods, especially when the origin of the deepfake is obscure. To tackle the…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Lalith Bharadwaj Baru , Rohit Boddeda , Shilhora Akshay Patel , Sai Mohan Gajapaka

Automated floor plan generation has recently gained momentum with several methods that have been proposed. The CVAAD Floor Plan Auto-Completion workshop challenge introduced MSD, a new dataset that includes existing structural walls of the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Emanuel Kuhn

Recent deep learning approaches in table detection achieved outstanding performance and proved to be effective in identifying document layouts. Currently, available table detection benchmarks have many limitations, including the lack of…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Mrinal Haloi , Shashank Shekhar , Nikhil Fande , Siddhant Swaroop Dash , Sanjay G

In this paper, we tackle the challenge of predicting the unseen walls of a partially observed environment as a set of 2D line segments, conditioned on occupancy grids integrated along the trajectory of a 360{\deg} LIDAR sensor. A dataset of…

Robotics · Computer Science 2024-06-14 Ludvig Ericson , Patric Jensfelt

In three-dimensional models obtained by photogrammetry of existing structures, all of the shapes that the eye can select cannot always find their equivalents in the geometric components of the model. However, the matching of meaningful…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Demircan Tas , Mine Özkar

The digitization of historical maps enables the study of ancient, fragile, unique, and hardly accessible information sources. Main map features can be retrieved and tracked through the time for subsequent thematic analysis. The goal of this…

Computer Vision and Pattern Recognition · Computer Science 2021-01-07 Yizi Chen , Edwin Carlinet , Joseph Chazalon , Clément Mallet , Bertrand Duménieu , Julien Perret

We present two methods for detecting patterns and clusters in high dimensional time-dependent functional data. Our methods are based on wavelet-based similarity measures, since wavelets are well suited for identifying highly discriminant…

Methodology · Statistics 2013-02-15 Anestis Antoniadis , Xavier Brossat , Jairo Cugliari , Jean-Michel Poggi

Viewpoint planning is critical for efficient 3D data acquisition in applications such as 3D reconstruction, building life-cycle management, navigation, and interior decoration. However, existing methods often neglect key optimization…

Robotics · Computer Science 2025-09-23 Biao Xiong , Longjun Zhang , Ruiqi Huang , Junwei Zhou , S. R. U. N. Jafri , Bojian Wu , Fashuai Li

Manipulated videos, especially those where the identity of an individual has been modified using deep neural networks, are becoming an increasingly relevant threat in the modern day. In this paper, we seek to develop a generalizable,…

Computer Vision and Pattern Recognition · Computer Science 2021-09-23 Steven Schwarcz , Rama Chellappa

This paper tackles a 2D architecture vectorization problem, whose task is to infer an outdoor building architecture as a 2D planar graph from a single RGB image. We provide a new benchmark with ground-truth annotations for 2,001 complex…

Computer Vision and Pattern Recognition · Computer Science 2020-03-17 Nelson Nauata , Yasutaka Furukawa

Deepfake detection remains highly challenging, particularly in cross-dataset scenarios and complex real-world settings. This challenge mainly arises because artifact patterns vary substantially across different forgery methods, whereas…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Xiang Zhang , Wenliang Weng , Daoyong Fu , Beijing Chen , Ziqiang Li , Ziwen He , Zhangjie Fu

Due to the epidemic of the coronavirus (Covid-19) and its rapid spread around the world, the world has faced an enormous crisis. To prevent the spread of the coronavirus, the World Health Organization (WHO) has introduced the use of masks…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Abolfazl Younesi , Reza Afrouzian , Yousef Seyfari

The study of ancient documents provides a glimpse into our past. However, the low image quality and intricate details commonly found in these documents present significant challenges for accurate object detection. The objective of this…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Zahra Ziran , Francesco Leotta , Massimo Mecella

The rapid progress in deep generative models has led to the creation of incredibly realistic synthetic images that are becoming increasingly difficult to distinguish from real-world data. The widespread use of Variational Models, Diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 Anant Mehta , Bryant McArthur , Nagarjuna Kolloju , Zhengzhong Tu

We introduce Scan2Plan, a novel approach for accurate estimation of a floorplan from a 3D scan of the structural elements of indoor environments. The proposed method incorporates a two-stage approach where the initial stage clusters an…

Computer Vision and Pattern Recognition · Computer Science 2020-03-17 Ameya Phalak , Vijay Badrinarayanan , Andrew Rabinovich

With the increasing adoption of digitization, more and more historical visualizations created hundreds of years ago are accessible in digital libraries online. It provides a unique opportunity for visualization and history research.…

Human-Computer Interaction · Computer Science 2025-07-24 Yu Zhang , Ruike Jiang , Liwenhan Xie , Yuheng Zhao , Can Liu , Tianhong Ding , Siming Chen , Xiaoru Yuan

Over the last few decades, image-based building surface reconstruction has garnered substantial research interest and has been applied across various fields, such as heritage preservation, architectural planning, etc. Compared to the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Tengfei Wang , Zongqian Zhan , Rui Xia , Linxia Ji , Xin Wang

Face recognition is a widely accepted biometric verification tool, as the face contains a lot of information about the identity of a person. In this study, a 2-step neural-based pipeline is presented for matching 3D facial shape to multiple…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Soha Sadat Mahdi , Nele Nauwelaers , Philip Joris , Giorgos Bouritsas , Shunwang Gong , Sergiy Bokhnyak , Susan Walsh , Mark D. Shriver , Michael Bronstein , Peter Claes , .