| Boosting crowd counting with transformers G Sun, Y Liu, T Probst, DP Paudel, N Popovic, L Van Gool arXiv preprint arXiv:2105.10926 3, 3, 2021 | 61 | 2021 |
| Task switching network for multi-task learning G Sun, T Probst, DP Paudel, N Popović, M Kanakis, J Patel, D Dai, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 41 | 2021 |
| Adaboost algorithm in the frame of predictive maintenance tasks P Vasilić, S Vujnović, N Popović, A Marjanović, Ž Đurović 2018 23rd International Scientific-Professional Conference on Information …, 2018 | 10 | 2018 |
| Compositetasking: Understanding images by spatial composition of tasks N Popovic, DP Paudel, T Probst, G Sun, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| Fooling a neural network with common adversarial noise M Mihajlović, N Popović 2018 19th IEEE Mediterranean Electrotechnical Conference (MELECON), 293-296, 2018 | 6 | 2018 |
| Boosting crowd counting with transformers (2021) G Sun, Y Liu, T Probst, DP Paudel, N Popovic, LV Gool arXiv preprint arXiv:2105.10926, 0 | 5 | |
| Boosting crowd counting with transformers. arXiv 2021 G Sun, Y Liu, T Probst, DP Paudel, N Popovic, L Van Gool arXiv preprint arXiv:2105.10926, 0 | 5 | |
| Rethinking global context in crowd counting G Sun, Y Liu, T Probst, DP Paudel, N Popovic, L Van Gool Machine Intelligence Research, 1-12, 2024 | 2 | 2024 |
| Surface Normal Clustering for Implicit Representation of Manhattan Scenes N Popovic, DP Paudel, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Gradient obfuscation checklist test gives a false sense of security N Popovic, DP Paudel, T Probst, L Van Gool arXiv preprint arXiv:2206.01705, 2022 | 1 | 2022 |
| Neural radiance fields for manhattan scenes with unknown manhattan frame N Popovic, DP Paudel, L Van Gool arXiv preprint arXiv:2212.01331 2, 2022 | 1 | 2022 |
| Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers N Popovic, DP Paudel, T Probst, L Van Gool arXiv preprint arXiv:2112.15111, 2021 | 1 | 2021 |
| Stochastic Layers in Vision Transformers N Popovic, DP Paudel, T Probst, L Van Gool arXiv preprint arXiv:2112.15111, 2021 | 1 | 2021 |
| G-MEMP: Gaze-Enhanced Multimodal Ego-Motion Prediction in Driving ME Akbiyik, N Savov, DP Paudel, N Popovic, C Vater, O Hilliges, ... arXiv preprint arXiv:2312.08558, 2023 | | 2023 |
| G-MEMP: Gaze-Enhanced Multimodal Ego-Motion Prediction in Driving M Eren Akbiyik, N Savov, D Pani Paudel, N Popovic, C Vater, O Hilliges, ... arXiv e-prints, arXiv: 2312.08558, 2023 | | 2023 |
| Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions N Popovic, D Christodoulou, DP Paudel, X Wang, L Van Gool 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct …, 2023 | | 2023 |
| Token-Consistent Dropout For Calibrated Vision Transformers N Popovic, DP Paudel, T Probst, L Van Gool 2023 IEEE International Conference on Image Processing (ICIP), 1030-1034, 2023 | | 2023 |
| Spatially Multi-conditional Image Generation N Popović, R Chakraborty, DP Paudel, T Probst, L Van Gool Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | | 2023 |
| Spatially Multi-conditional Image Generation R Chakraborty, N Popovic, DP Paudel, T Probst, L Van Gool arXiv preprint arXiv:2203.13812, 2022 | | 2022 |
| Improving the Efficiency of the Support Vector Decomposition Machine PR Tadić, N Asadi, N Popović, Z Obradović 2018 14th Symposium on Neural Networks and Applications (NEUREL), 1-4, 2018 | | 2018 |
Luc Van Goolprofessor computer vision ETHZ,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐVerified email at insait.ai
