Dr. Ankit Yadav

Information Technology

Phone:NA
Email: ankityadav@dtu.ac.in

Qualifications

Ph.D. (IT)

Areas of Interest

Deep Learning, Computer Vision, Multimedia Manipulation Detection, Deepfake Detection

Ankit Yadav completed his Ph.D. degree from the Delhi Technological University, India in 2024. He is currently working as an assistant professor in the department of Information Technology, DTU. His current research interest is the detection of malicious manipulation in multimedia data. He received the Bachelor of Computer Applications degree in 2013 and the Master of Computer Applications degree in 2016 from Guru Gobind Singh Indraprastha University, Delhi, India.

Research Publications (Journal papers)

  1. Ankit Yadav, Dinesh Kumar Vishwakarma. "MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection." Published in Expert Systems with Applications (232), 2023 (Impact Factor: 7.5), (Pub: Elsevier).
  2. Ankit Yadav, Dinesh Kumar Vishwakarma. "AW-MSA: Adaptively Weighted Multi-Scale Attentional Features for DeepFake Detection." Published in Engineering Applications of Artificial Intelligence (127), 2024 (Impact Factor: 7.5), (Pub: Elsevier).
  3. Ankit Yadav, Dhruv Gupta, Dinesh Kumar Vishwakarma. "Uncovering visual attention-based multi-level tampering traces for face forgery detection." Published in Signal, Image and Video Processing, 2023 (Impact Factor: 2.3), (Pub: Springer).
  4. Ankit Yadav, Dinesh Kumar Vishwakarma. " Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review" Published in Expert Systems with Applications (249), 2024 (Impact Factor: 7.5), (Pub: Elsevier).
  5. Varun Gupta, Ankit Yadav, Dinesh Kumar Vishwakarma. "HumanPoseNet: An All-Transformer Architecture for Pose Estimation with Efficient Patch Expansion and Attentional Feature Refinement." Published in Expert Systems with Applications (244), 2024 (Impact Factor: 7.5), (Pub: Elsevier).
  6. Ankit Yadav, Dinesh Kumar Vishwakarma. "Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset." Accepted in Signal, Image and Video Processing, 2024 (Impact Factor: 2.3), (Pub: Springer).
  7. Varun Gupta, Vaibhav Srivastava, Ankit Yadav, Dinesh Kumar Vishwakarma, Narendra Kumar "FreqFaceNet: an enhanced transformer architecture with dual-order frequency attention for deepfake detection" Published in Applied Intelligence (55), 2025 (Impact Factor: 3.4), (Pub: Springer).
  8. Ankit Yadav, Dinesh Kumar Vishwakarma. "Deep learning algorithms for person re-identification: state-of-the-art and research challenges." Published in Multimedia Tools and Applications, 2023 (Impact Factor: 3.6), (Pub: Springer).

Research Publications (Conference papers)

  1. Ankit Yadav, Dinesh Kumar Vishwakarma. "Investigating the Impact of Visual Attention Models in Face Forgery Detection", at 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC 2023), Dharwad, Karnataka. Best Paper Award.
  2. Ankit Yadav, Dinesh Kumar Vishwakarma. "Recent Developments in Generative Adversarial Networks: A Review" at IEEE Sixth International Conference on Multimedia Big Data (BigMM), IIIT Delhi, 2020.

Last Updated : 2025-05-01 10:19:02