| Detecting the unexpected via image resynthesis K Lis, K Nakka, P Fua, M Salzmann International Conference on Computer Vision (ICCV) 2019, 2019 | 148 | 2019 |
| Learning Transferable Adversarial Perturbations K kanth Nakka, M Salzmann Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 44* | 2021 |
| Indirect Local Attacks for Context-aware Semantic Segmentation Networks KK Nakka, M Salzmann European Conference on Computer Vision (ECCV) 2020, 2019 | 30 | 2019 |
| Deep learning based fence segmentation and removal from an image using a video sequence S Jonna, KK Nakka, RR Sahay European Conference on Computer Vision (ECCV) Workshop, 2016, 836-851, 2016 | 22 | 2016 |
| My camera can see through fences: A deep learning approach for image de-fencing S Jonna, KK Nakka, RR Sahay ACPR, 261-265, 2015 | 21 | 2015 |
| Deep attentional structured representation learning for visual recognition KK Nakka, M Salzmann British Machine Vision Conference (BMVC) 2018, 2018 | 13 | 2018 |
| Universal, transferable adversarial perturbations for visual object trackers KK Nakka, M Salzmann European Conference on Computer Vision, 413-429, 2022 | 9* | 2022 |
| Non-uniform sampling in EPR–optimizing data acquisition for HYSCORE spectroscopy KK Nakka, YA Tesiram, IM Brereton, M Mobli, JR Harmer Physical Chemistry Chemical Physics 16 (31), 16378-16382, 2014 | 9 | 2014 |
| 3D-to-2D mapping for user interactive segmentation of human leg muscles from MRI data N Ray, S Mukherjee, KK Nakka, ST Acton, SS Blanker GlobalSIP, 50-54, 2014 | 7 | 2014 |
| Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features KK Nakka, M Salzmann Asian Conference on Computer Vision (ACCV) 2020, 2020 | 6 | 2020 |
| Detection and removal of fence occlusions in an image using a video of the static/dynamic scene S Jonna, KK Nakka, VS Khasare, RR Sahay, MS Kankanhalli JOSA A 33 (10), 1917-1930, 2016 | 6 | 2016 |
| Towards an Automated Image De-fencing Algorithm Using Sparsity S Jonna, KK Nakka, RR Sahay VISAPP 2015, 2016 | 4 | 2016 |
| Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K Kanth Nakka, M Salzmann arXiv e-prints, arXiv: 2309.11667, 2023 | | 2023 |
| Understanding Pose and Appearance Disentanglement in 3D Human Pose estimation KK Nakka, M Salzmann arXiv 2023, 2023 | | 2023 |
| Understanding Deep Neural Networks using Adversarial Attacks KK Nakka PhD Thesis, Department of Computer Science, EPFL, 2022 | | 2022 |
| Computer Vision Assessment of Children’s Fine Motor Skills in Block Stacking MJ Tomasik, KK Nakka, M Salzmann Measuring Behavior 2022, 2022 | | 2022 |
| Interpretable BoW Networks for Adversarial Example Detection KK Nakka, M Salzmann Explainable AI workshop, International Conference on Computer Vision (ICCV) 2019, 2019 | | 2019 |
| Automatic Image De-fencing System KK Nakka Master Thesis, 2016 | | 2016 |
| Detecting the Unexpected via Image Resynthesis Supplementary Material K Lis, K Nakka, P Fua, M Salzmann Image 1024, 512, 0 | | |
Mathieu SalzmannEPFLVerified email at epfl.ch
