2 code implementations • ICCV 2023 • Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
Specifically, we show that aligning the image representation with an ensemble of class descriptions (based on natural language semantics) improves FAS generalizability in low-data regimes.
1 code implementation • 20 Aug 2023 • Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar
In FedSIS, a hybrid Vision Transformer (ViT) architecture is learned using a combination of FL and split learning to achieve robustness against statistical heterogeneity in the client data distributions without any sharing of raw data (thereby preserving privacy).
1 code implementation • CVPR 2023 • Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
While these forensic models can detect whether a face image is synthetic or real with high accuracy, they are also vulnerable to adversarial attacks.
no code implementations • 14 Jul 2022 • Nandhinee PR, Harinath Krishnamoorthy, Koushik Srivatsan, Anil Goyal, Sudarsun Santhiappan
We design a conventional computer vision-based approach for table type classification and cell detection using parameterized kernels based on image size for detecting rows and columns.