| Multi-Task Learning for Dense Prediction Tasks: A Survey S Vandenhende, S Georgoulis, W Van Gansbeke, M Proesmans, D Dai, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 800* | 2021 |
| SCAN: Learning to Classify Images without Labels W Van Gansbeke, S Vandenhende, S Georgoulis, M Proesmans, ... ECCV 2020, 2020 | 598 | 2020 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 284* | 2024 |
| Unsupervised semantic segmentation by contrasting object mask proposals W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool ICCV 2021, 2021 | 265 | 2021 |
| MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning S Vandenhende, S Georgoulis, L Van Gool ECCV 2020, 2020 | 259 | 2020 |
| Branched Multi-Task Networks: Deciding What Layers To Share S Vandenhende, S Georgoulis, B De Brabandere, L Van Gool BMVC 2020, 2019 | 160 | 2019 |
| Talk2Car: Taking Control of Your Self-Driving Car T Deruyttere, S Vandenhende, D Grujicic, L Van Gool, MF Moens EMNLP-IJCNLP 2019, 2019 | 110 | 2019 |
| Emu: Enhancing image generation models using photogenic needles in a haystack X Dai, J Hou, CY Ma, S Tsai, J Wang, R Wang, P Zhang, S Vandenhende, ... arXiv preprint arXiv:2309.15807, 2023 | 89 | 2023 |
| Filtering, distillation, and hard negatives for vision-language pre-training F Radenovic, A Dubey, A Kadian, T Mihaylov, S Vandenhende, Y Patel, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 65 | 2023 |
| Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool NeurIPS 2021, 2021 | 58 | 2021 |
| Discovering object masks with transformers for unsupervised semantic segmentation W Van Gansbeke, S Vandenhende, L Van Gool arXiv preprint arXiv:2206.06363, 2022 | 50 | 2022 |
| Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals S Vandenhende, D Mahajan, F Radenovic, D Ghadiyaram ECCV 2022, 2022 | 34 | 2022 |
| A Three-Player GAN: Generating Hard Samples to Improve Classification Networks S Vandenhende, B De Brabandere, D Neven, L Van Gool MVA 2019, 2019 | 30 | 2019 |
| Commands 4 Autonomous Vehicles (C4AV) Workshop Summary T Deruyttere, S Vandenhende, D Grujicic, Y Liu, L Van Gool, M Blaschko, ... ECCVW 2020, 2020 | 8 | 2020 |
| A Baseline for the Commands For Autonomous Vehicles Challenge S Vandenhende, T Deruyttere, D Grujicic arXiv preprint arXiv:2004.13822, 2020 | 8 | 2020 |
| Multi-task learning for visual scene understanding S Vandenhende | 3 | 2022 |
| Computer-implemented training method, classification method and system and computer-readable recording medium W Abbeloos, G Othmezouri, W Van Gansbeke, S Vandenhende, ... US Patent 12,073,322, 2024 | | 2024 |
| Data interpretation system, vehicle, method for interpreting input data, computer program and computer-readable medium W Abbeloos, S Georgoulis, L Van Gool, S Vandenhende WO Patent App. WO2021144007A1, 2021 | | 2021 |
| A Lightweight 1.16 pJ/bit Processor for the Authenticated Encryption Scheme KetjeSR YW Lu, A Purnal, S Vandenhende, CY Lee, I Verbauwhede, HC Chang 2019 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 1-4, 2019 | | 2019 |
| A Implementation Details W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool | | |
Luc Van Goolprofessor computer vision INSAIT Sofia University, KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
