Talk2Car: Taking Control of Your Self-Driving Car. - Thierry Deruyttere; Simon Vandenhende; Dusan Grujicic; Luc Van Gool; Marie-Francine Moens (EMNLP/IJCNLP (1), 2019)

A Three-Player GAN: Generating Hard Samples to Improve Classification Networks. - Simon Vandenhende; Bert De Brabandere; Davy Neven; Luc Van Gool (MVA, 2019)

A Lightweight 1.16 pJ/bit Processor for the Authenticated Encryption Scheme KetjeSR. - Yun-Wen Lu; Antoon Purnal; Simon Vandenhende; Chen-Yi Lee; Ingrid Verbauwhede; Hsie-Chia Chang (VLSI-DAT, 2019)

Branched Multi-Task Networks: Deciding What Layers To Share. - Simon Vandenhende; Bert De Brabandere; Luc Van Gool (CoRR, 2019)

Branched Multi-Task Networks: Deciding what layers to share. - Simon Vandenhende; Stamatios Georgoulis; Luc Van Gool; Bert De Brabandere (BMVC, 2020)

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. - Thierry Deruyttere; Simon Vandenhende; Dusan Grujicic; Yu Liu 012; Luc Van Gool; Matthew B. Blaschko; Tinne Tuytelaars; Marie-Francine Moens (ECCV Workshops (2), 2020)

SCAN: Learning to Classify Images Without Labels. - Wouter Van Gansbeke; Simon Vandenhende; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (ECCV (10), 2020)

MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning. - Simon Vandenhende; Stamatios Georgoulis; Luc Van Gool (ECCV (4), 2020)

Revisiting Multi-Task Learning in the Deep Learning Era. - Simon Vandenhende; Stamatios Georgoulis; Marc Proesmans; Dengxin Dai; Luc Van Gool (CoRR, 2020)

A Baseline for the Commands For Autonomous Vehicles Challenge. - Simon Vandenhende; Thierry Deruyttere; Dusan Grujicic (CoRR, 2020)

Learning To Classify Images Without Labels. - Wouter Van Gansbeke; Simon Vandenhende; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (CoRR, 2020)

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. - Wouter Van Gansbeke; Simon Vandenhende; Stamatios Georgoulis; Luc Van Gool (ICCV, 2021)

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. - Wouter Van Gansbeke; Simon Vandenhende; Stamatios Georgoulis; Luc Van Gool (NeurIPS, 2021)

Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. - Simon Vandenhende; Dhruv Mahajan 001; Filip Radenovic; Deepti Ghadiyaram (ECCV (12), 2022)

Multi-Task Learning for Visual Scene Understanding. - Simon Vandenhende (CoRR, 2022)

Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation. - Wouter Van Gansbeke; Simon Vandenhende; Luc Van Gool (CoRR, 2022)

Multi-Task Learning for Dense Prediction Tasks: A Survey. - Simon Vandenhende; Stamatios Georgoulis; Wouter Van Gansbeke; Marc Proesmans; Dengxin Dai; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. - Filip Radenovic; Abhimanyu Dubey; Abhishek Kadian; Todor Mihaylov; Simon Vandenhende; Yash Patel; Yi Wen 006; Vignesh Ramanathan; Dhruv Mahajan 001 (CVPR, 2023)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)