FaceForensics++: Learning to Detect Manipulated Facial Images
Rossler, Andreas, Cozzolino, Davide, Verdoliva, Luisa, Riess, Christian, Thies, Justus, Niessner, Matthias·2019·2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Cited by (241)
Items 101–200 of 241
- OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-WildLe, Trung-Nghia, Nguyen, Huy H., Yamagishi, Junichi, Echizen, Isao · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
- A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion MethodsGupta, Gourav, Raja, Kiran, Gupta, Manish, Jan, Tony, Whiteside, Scott Thompson, Prasad, Mukesh · 2023 · Electronics
- TALL: Thumbnail Layout for Deepfake Video DetectionXu, Yuting, Liang, Jian, Jia, Gengyun, Yang, Ziming, Zhang, Yanhao, He, Ran · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
- Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery LocalizationCai, Zhixi, Stefanov, Kalin, Dhall, Abhinav, Hayat, Munawar · 2022 · 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
- DeepfakeBench: A Comprehensive Benchmark of Deepfake DetectionYan, Zhiyuan, Zhang, Yong, Yuan, Xinhang, Lyu, Siwei, Wu, Baoyuan · 2023 · arXiv
- LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake DetectionNGUYEN, Dat, MEJRI, Nesryne, SINGH, Inder Pal, KULESHOVA, Polina, ASTRID, Marcella, KACEM, Anis, GHORBEL, Enjie, AOUADA, Djamila · 2024 · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Exploring Frequency Adversarial Attacks for Face Forgery DetectionJia, Shuai, Ma, Chao, Yao, Taiping, Yin, Bangjie, Ding, Shouhong, Yang, Xiaokang · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- A Robust Approach to Multimodal Deepfake DetectionSalvi, Davide, Liu, Honggu, Mandelli, Sara, Bestagini, Paolo, Zhou, Wenbo, Zhang, Weiming, Tubaro, Stefano · 2023 · Journal of Imaging
- Noise Based Deepfake Detection via Multi-Head Relative-InteractionWang, Tianyi, Chow, Kam Pui · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
- One Detector to Rule Them All: Towards a General Deepfake Attack Detection FrameworkTariq, Shahroz, Lee, Sangyup, Woo, Simon · 2021 · Proceedings of the Web Conference 2021
- Warning: Humans cannot reliably detect speech deepfakesMai, Kimberly T., Bray, Sergi, Davies, Toby, Griffin, Lewis D. · 2023 · PLOS ONE
- Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video DetectionGu, Zhihao, Chen, Yang, Yao, Taiping, Ding, Shouhong, Li, Jilin, Ma, Lizhuang · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
- DFDT: An End-to-End DeepFake Detection Framework Using Vision TransformerKhormali, Aminollah, Yuan, Jiann-Shiun · 2022 · Applied Sciences
- Detecting fake images by identifying potential texture differenceYang, Jiachen, Xiao, Shuai, Li, Aiyun, Lan, Guipeng, Wang, Huihui · 2021 · Future Generation Computer Systems
- A Comprehensive Survey on Passive Techniques for Digital Video Forgery DetectionShelke, Nitin Arvind, Kasana, Singara Singh · 2021 · Multimedia Tools and Applications
- Detecting DeepFake, FaceSwap and Face2Face facial forgeries using frequency CNNKohli, Aditi, Gupta, Abhinav · 2021 · Multimedia Tools and Applications
- The face deepfake detection challengeGuarnera, Luca, Giudice, Oliver, Guarnera, Francesco, Ortis, Alessandro, Puglisi, Giovanni, Paratore, Antonino, Bui, Linh M. Q., Fontani, Marco, Coccomini, Davide Alessandro, Caldelli, Roberto et al. · 2022 · Journal of Imaging
- Seeing is Believing: Exploring Perceptual Differences in DeepFake VideosTahir, Rashid, Batool, Brishna, Jamshed, Hira, Jameel, Mahnoor, Anwar, Mubashir, Ahmed, Faizan, Zaffar, Muhammad Adeel, Zaffar, Muhammad Fareed · 2021 · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
- Detecting Deepfake Videos with Temporal Dropout 3DCNNZhang, Daichi, Li, Chenyu, Lin, Fanzhao, Zeng, Dan, Ge, Shiming · 2021 · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
- Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional InconsistenciesHosler, Brian, Salvi, Davide, Murray, Anthony, Antonacci, Fabio, Bestagini, Paolo, Tubaro, Stefano, Stamm, Matthew C. · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Fighting Fake News: Two Stream Network for Deepfake Detection via Learnable SRMHan, Bing, Han, Xiaoguang, Zhang, Hua, Li, Jingzhi, Cao, Xiaochun · 2021 · IEEE Transactions on Biometrics, Behavior, and Identity Science
- Mastering Deepfake Detection: A Cutting-Edge Approach to Distinguish GAN and Diffusion-Model ImagesGuarnera, Luca, Giudice, Oliver, Battiato, Sebastiano · 2024 · ACM Transactions on Multimedia Computing, Communications, and Applications
- An efficient deepfake video detection using robust deep learningQadir, Abdul, Mahum, Rabbia, El-Meligy, Mohammed A., Ragab, Adham E., AlSalman, Abdulmalik, Awais, Muhammad · 2024 · Heliyon
- Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social mediaQureshi, Shavez Mushtaq, Saeed, Atif, Almotiri, Sultan H., Ahmad, Farooq, Al Ghamdi, Mohammed A. · 2024 · PeerJ Computer Science
- Human Perception of Audio DeepfakesMüller, Nicolas M., Pizzi, Karla, Williams, Jennifer · 2022 · Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia
- iCaps-Dfake: An Integrated Capsule-Based Model for Deepfake Image and Video DetectionKhalil, Samar Samir, Youssef, Sherin M., Saleh, Sherine Nagy · 2021 · Future Internet
- Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisHe, Yang, Yu, Ning, Keuper, Margret, Fritz, Mario · 2021 · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
- Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised modelsSilva, Samuel Henrique, Bethany, Mazal, Votto, Alexis Megan, Scarff, Ian Henry, Beebe, Nicole, Najafirad, Peyman · 2022 · Forensic Science International: Synergy
- Fdftnet: facing off fake images using fake detection fine-tuning networkJeon, Hyeonseong, Bang, Youngoh, Woo, Simon S. · 2020 · IFIP Advances in Information and Communication Technology
- Deepfake: definitions, performance metrics and standards, datasets, and a meta-reviewAltuncu, Enes, Franqueira, Virginia N. L., Li, Shujun · 2024 · Frontiers in Big Data
- Multimodaltrace: Deepfake Detection using Audiovisual Representation LearningAnas Raza, Muhammad, Mahmood Malik, Khalid · 2023 · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Supervised Contrastive Learning for Generalizable and Explainable DeepFakes DetectionXu, Ying, Raja, Kiran, Pedersen, Marius · 2022 · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
- Deep learning for visual speech analysis: A surveySheng, Changchong, Kuang, Gangyao, Bai, Liang, Hou, Chenping, Guo, Yulan, Xu, Xin, Pietikäinen, Matti, Liu, Li · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Human performance in detecting deepfakes: A systematic review and meta-analysis of 56 papersDiel, Alexander, Lalgi, Tania, Schröter, Isabel Carolin, MacDorman, Karl F., Teufel, Martin, Bäuerle, Alexander · 2024 · Computers in Human Behavior Reports
- On Improving Cross-dataset Generalization of Deepfake DetectorsNadimpalli, Aakash Varma, Rattani, Ajita · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Exploiting Prediction Error Inconsistencies through LSTM-based Classifiers to Detect Deepfake VideosAmerini, Irene, Caldelli, Roberto · 2020 · Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security
- Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and localizationCai, Zhixi, Ghosh, Shreya, Dhall, Abhinav, Gedeon, Tom, Stefanov, Kalin, Hayat, Munawar · 2023 · Computer Vision and Image Understanding
- TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media DetectionSalvi, Davide, Hosler, Brian, Bestagini, Paolo, Stamm, Matthew C., Tubaro, Stefano · 2023 · IEEE Access
- ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake ImagesBinh, Le Minh, Woo, Simon · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
- PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake DetectionYu, Yang, Liu, Xiaolong, Ni, Rongrong, Yang, Siyuan, Zhao, Yao, Kot, Alex C. · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
- AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake DatasetCai, Zhixi, Ghosh, Shreya, Adatia, Aman Pankaj, Hayat, Munawar, Dhall, Abhinav, Gedeon, Tom, Stefanov, Kalin · 2024 · Proceedings of the 32nd ACM International Conference on Multimedia
- A lightweight 3D convolutional neural network for deepfake detectionLiu, Jiarui, Zhu, Kaiman, Lu, Wei, Luo, Xiangyang, Zhao, Xianfeng · 2021 · International Journal of Intelligent Systems
- Improving Video Vision Transformer for Deepfake Video Detection Using Facial Landmark, Depthwise Separable Convolution and Self AttentionRamadhani, Kurniawan Nur, Munir, Rinaldi, Utama, Nugraha Priya · 2024 · IEEE Access
- Improving Fairness in Deepfake Detection2024
- Deepfake Video Detection Based on MesoNet with Preprocessing ModuleXia, Zhiming, Qiao, Tong, Xu, Ming, Wu, Xiaoshuai, Han, Li, Chen, Yunzhi · 2022 · Symmetry
- Depth map guided triplet network for deepfake face detectionLiang, Buyun, Wang, Zhongyuan, Huang, Baojin, Zou, Qin, Wang, Qian, Liang, Jingjing · 2023 · Neural Networks
- Exploring Disentangled Content Information for Face Forgery DetectionLiang, Jiahao, Shi, Huafeng, Deng, Weihong · 2022 · Lecture Notes in Computer Science
- Locate and Verify: A Two-Stream Network for Improved Deepfake DetectionShuai, Chao, Zhong, Jieming, Wu, Shuang, Lin, Feng, Wang, Zhibo, Ba, Zhongjie, Liu, Zhenguang, Cavallaro, Lorenzo, Ren, Kui · 2023 · Proceedings of the 31st ACM International Conference on Multimedia
- SpoC: Spoofing Camera FingerprintsCozzolino, Davide, Thies, Justus, Rossler, Andreas, Niesner, Matthias, Verdoliva, Luisa · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- A Novel Machine Learning based Method for Deepfake Video Detection in Social MediaMitra, Alakananda, Mohanty, Saraju P., Corcoran, Peter, Kougianos, Elias · 2020 · 2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)
- ADD: Attention-Based DeepFake Detection ApproachKhormali, Aminollah, Yuan, Jiann-Shiun · 2021 · Big Data and Cognitive Computing
- Assessment framework for deepfake detection in real-world situationsLu, Yuhang, Ebrahimi, Touradj · 2024 · EURASIP Journal on Image and Video Processing
- Detecting and Grounding Multi-Modal Media Manipulation and BeyondShao, Rui, Wu, Tianxing, Wu, Jianlong, Nie, Liqiang, Liu, Ziwei · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Don't trust your eyes: image manipulation in the age of DeepFakesLangguth, Johannes, Pogorelov, Konstantin, Brenner, Stefan, Filkuková, Petra, Schroeder, Daniel Thilo · 2021 · Frontiers in Communication
- A Review of Deepfake Techniques: Architecture, Detection and DatasetsEdwards, Peter, Nebel, Jean-Christophe, Greenhill, Darrel, Liang, Xing · 2024 · IEEE Access
- TI 2 Net: Temporal Identity Inconsistency Network for Deepfake DetectionLiu, Baoping, Liu, Bo, Ding, Ming, Zhu, Tianqing, Yu, Xin · 2023 · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Improving Generalization of Deepfake Detection With Data Farming and Few-Shot LearningKorshunov, Pavel, Marcel, Sebastien · 2022 · IEEE Transactions on Biometrics, Behavior, and Identity Science
- DeepfakeBench: A Comprehensive Benchmark of Deepfake DetectionYan, Zhiyuan, Zhang, Yong, Yuan, Xinhang, Lyu, Siwei, Wu, Baoyuan · 2023 · Advances in Neural Information Processing Systems 36
- Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training ParadigmsKhan, Sohail Ahmed, Dang-Nguyen, Duc-Tien · 2024 · IEEE Access
- DeepFake-Adapter: Dual-Level Adapter for DeepFake DetectionShao, Rui, Wu, Tianxing, Nie, Liqiang, Liu, Ziwei · 2025 · International Journal of Computer Vision
- Diffusion Facial Forgery DetectionCheng, Harry, Guo, Yangyang, Wang, Tianyi, Nie, Liqiang, Kankanhalli, Mohan · 2024 · Proceedings of the 32nd ACM International Conference on Multimedia
- Deepfake Video Detection with Spatiotemporal Dropout TransformerZhang, DaiChi, Lin, Fanzhao, Hua, Yingying, Wang, Pengju, Zeng, Dan, Ge, Shiming · 2022 · Proceedings of the 30th ACM International Conference on Multimedia
- Generalization of Forgery Detection With Meta Deepfake Detection ModelTran, Van-Nhan, Kwon, Seong-Geun, Lee, Suk-Hwan, Le, Hoanh-Su, Kwon, Ki-Ryong · 2023 · IEEE Access
- Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image DetectionCoccomini, Davide Alessandro, Caldelli, Roberto, Falchi, Fabrizio, Gennaro, Claudio, Amato, Giuseppe · 2022 · Proceedings of the 1st International Workshop on Multimedia AI against Disinformation
- C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake DetectionTan, Chuangchuang, Tao, Renshuai, Liu, Huan, Gu, Guanghua, Wu, Baoyuan, Zhao, Yao, Wei, Yunchao · 2025 · Proceedings of the AAAI Conference on Artificial Intelligence
- GenConViT: Deepfake Video Detection Using Generative Convolutional Vision TransformerDeressa, Deressa Wodajo, Mareen, Hannes, Lambert, Peter, Atnafu, Solomon, Akhtar, Zahid, Van Wallendael, Glenn · 2025 · Applied Sciences
- Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery DetectionLuo, Anwei, Cai, Rizhao, Kong, Chenqi, Ju, Yakun, Kang, Xiangui, Huang, Jiwu, Kot, Alex C. · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
- An Examination of Fairness of AI Models for Deepfake DetectionTrinh, Loc, Liu, Yan · 2021 · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
- Joint Audio-Visual Attention with Contrastive Learning for More General Deepfake DetectionZhang, Yibo, Lin, Weiguo, Xu, Junfeng · 2024 · ACM Transactions on Multimedia Computing, Communications, and Applications
- Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future ProspectsUr Rehman Ahmed, Naveed, Badshah, Afzal, Adeel, Hanan, Tajammul, Ayesha, Daud, Ali, Alsahfi, Tariq · 2025 · IEEE Access
- Deep Insights of Deepfake Technology : A ReviewMahmud, Bahar Uddin, Sharmin, Afsana · 2021 · arXiv
- GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake DetectionNadimpalli, Aakash Varma, Rattani, Ajita · 2023 · Lecture Notes in Computer Science
- Quality-Agnostic Deepfake Detection with Intra-model Collaborative LearningLe, Binh M., Woo, Simon S. · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
- DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery CluesPan, Kun, Yin, Yifang, Wei, Yao, Lin, Feng, Ba, Zhongjie, Liu, Zhenguang, Wang, Zhibo, Cavallaro, Lorenzo, Ren, Kui · 2023 · Proceedings of the 31st ACM International Conference on Multimedia
- Fsbi: Deepfake detection with frequency enhanced self-blended imagesAbul Hasanaath, Ahmed, Luqman, Hamzah, Katib, Raed, Anwar, Saeed · 2025 · Image and Vision Computing
- Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face DetectorGuo, Xiao, Song, Xiufeng, Zhang, Yue, Liu, Xiaohong, Liu, Xiaoming · 2025 · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Emergence of deepfakes and video tampering detection approaches: A surveyKingra, Staffy, Aggarwal, Naveen, Kaur, Nirmal · 2023 · Multimedia Tools and Applications
- MFF-Net: Deepfake Detection Network Based on Multi-Feature FusionZhao, Lei, Zhang, Mingcheng, Ding, Hongwei, Cui, Xiaohui · 2021 · Entropy
- Comprehensive Evaluation of Deepfake Detection Models: Accuracy, Generalization, and Resilience to Adversarial AttacksAbbasi, Maryam, Váz, Paulo, Silva, José, Martins, Pedro · 2025 · Applied Sciences
- MINTIME: Multi-Identity Size-Invariant Video Deepfake DetectionCoccomini, Davide Alessandro, Zilos, Giorgos Kordopatis, Amato, Giuseppe, Caldelli, Roberto, Falchi, Fabrizio, Papadopoulos, Symeon, Gennaro, Claudio · 2024 · IEEE Transactions on Information Forensics and Security
- A Review of Deep Learning-based Approaches for Deepfake Content DetectionPassos, Leandro A., Jodas, Danilo, Costa, Kelton A. P., Júnior, Luis A. Souza, Rodrigues, Douglas, Ser, Javier Del, Camacho*, David, Papa, Joao · 2023
- Audio–visual deepfake detection using articulatory representation learningWang, Yujia, Huang, Hua · 2024 · Computer Vision and Image Understanding
- Deepfake Detection by Exploiting Surface Anomalies: The Surfake ApproachCiamarra, Andrea, Caldelli, Roberto, Becattini, Federico, Seidenari, Lorenzo, Del Bimbo, Alberto · 2024 · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
- Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial MotionAgarwal, Shruti, Hu, Liwen, Ng, Evonne, Darrell, Trevor, Li, Hao, Rohrbach, Anna · 2023 · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Identity-Driven DeepFake DetectionDong, Xiaoyi, Bao, Jianmin, Chen, Dongdong, Zhang, Weiming, Yu, Nenghai, Chen, Dong, Wen, Fang, Guo, Baining · 2020 · arXiv
- DeePhy: On Deepfake PhylogenyNarayan, Kartik, Agarwal, Harsh, Thakral, Kartik, Mittal, Surbhi, Vatsa, Mayank, Singh, Richa · 2022 · 2022 IEEE International Joint Conference on Biometrics (IJCB)
- Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank AdaptationKong, Chenqi, Li, Haoliang, Wang, Shiqi · 2023 · 2023 IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR)
- A hierarchical feature selection strategy for deepfake video detectionMohiuddin, Sk, Sheikh, Khalid Hassan, Malakar, Samir, Velásquez, Juan D., Sarkar, Ram · 2023 · Neural Computing and Applications
- Using Deep Learning to Detecting DeepfakesMallet, Jacob, Dave, Rushit, Seliya, Naeem, Vanamala, Mounika · 2022 · 2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)
- Video Face Manipulation Detection Through Ensemble of CNNsBonettini, Nicolo, Cannas, Edoardo Daniele, Mandelli, Sara, Bondi, Luca, Bestagini, Paolo, Tubaro, Stefano · 2021 · 2020 25th International Conference on Pattern Recognition (ICPR)
- Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake DetectionShe, Huimin, Hu, Yongjian, Liu, Beibei, Li, Jicheng, Li, Chang-Tsun · 2024 · IEEE Transactions on Information Forensics and Security
- Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challengesSingh, Sonam, Dhumane, Amol · 2025 · MethodsX
- Blind detection of glow-based facial forgeryGuo, Zhiqing, Hu, Lipin, Xia, Ming, Yang, Gaobo · 2021 · Multimedia Tools and Applications
- DFGC 2021: A DeepFake Game CompetitionPeng, Bo, Fan, Hongxing, Wang, Wei, Dong, Jing, Li, Yuezun, Lyu, Siwei, Li, Qi, Sun, Zhenan, Chen, Han, Chen, Baoying et al. · 2021 · 2021 IEEE International Joint Conference on Biometrics (IJCB)
- FeatureTransfer: Unsupervised Domain Adaptation for Cross-Domain Deepfake DetectionChen, Baoying, Tan, Shunquan · 2021 · Security and Communication Networks
- Fooled twice – people cannot detect deepfakes but think they canKöbis, Nils, Doležalová, Barbora, Soraperra, Ivan · 2021
- Weakly-supervised deepfake localization in diffusion-generated imagesŢânţaru, Dragoş-Constantin, Oneaţă, Elisabeta, Oneaţă, Dan · 2024 · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- DeSI: Deepfake Source Identifier for Social MediaNarayan, Kartik, Agarwal, Harsh, Mittal, Surbhi, Thakral, Kartik, Kundu, Suman, Vatsa, Mayank, Singh, Richa · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- AOT: Appearance Optimal Transport Based Identity Swapping for Forgery DetectionZhu, Hao, Fu, Chaoyou, Wu, Qianyi, Wu, Wayne, Qian, Chen, He, Ran · 2020 · arXiv
- Visual-Semantic Transformer for Face Forgery DetectionXu, Yuting, Jia, Gengyun, Huang, Huaibo, Duan, Junxian, He, Ran · 2021 · 2021 IEEE International Joint Conference on Biometrics (IJCB)