Simon Vandenhende

27 papers A* 3A 1Misc 1Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh
2023	A*	`conf`	Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
2023	J	`jnl`	Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
2022	J	`jnl`	Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation. CoRR Wouter Van Gansbeke, Simon Vandenhende, Luc Van Gool
2022	—	`conf`	Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. ECCV (12) Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
2022	J	`jnl`	Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. CoRR Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
2022	J	`jnl`	Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Multi-Task Learning for Visual Scene Understanding. CoRR Simon Vandenhende
2021	A*	`conf`	Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. NeurIPS Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
2021	J	`jnl`	Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. CoRR Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
2021	A*	`conf`	Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. ICCV Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
2021	J	`jnl`	Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. CoRR Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
2020	J	`jnl`	A Baseline for the Commands For Autonomous Vehicles Challenge. CoRR Simon Vandenhende, Thierry Deruyttere, Dusan Grujicic
2020	A	`conf`	Branched Multi-Task Networks: Deciding what layers to share. BMVC Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere
2020	—	`conf`	Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. ECCV Workshops (2) Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens
2020	J	`jnl`	Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. CoRR Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens
2020	J	`jnl`	Learning To Classify Images Without Labels. CoRR Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
2020	J	`jnl`	MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning. CoRR Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
2020	—	`conf`	MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning. ECCV (4) Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
2020	J	`jnl`	Revisiting Multi-Task Learning in the Deep Learning Era. CoRR Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool
2020	—	`conf`	SCAN: Learning to Classify Images Without Labels. ECCV (10) Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
2019	—	`conf`	A Lightweight 1.16 pJ/bit Processor for the Authenticated Encryption Scheme KetjeSR. VLSI-DAT Yun-Wen Lu, Antoon Purnal, Simon Vandenhende, Chen-Yi Lee, Ingrid Verbauwhede, Hsie-Chia Chang
2019	J	`jnl`	A Three-Player GAN: Generating Hard Samples To Improve Classification Networks. CoRR Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool
2019	Misc	`conf`	A Three-Player GAN: Generating Hard Samples to Improve Classification Networks. MVA Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool
2019	J	`jnl`	Branched Multi-Task Networks: Deciding What Layers To Share. CoRR Simon Vandenhende, Bert De Brabandere, Luc Van Gool
2019	—	`conf`	Talk2Car: Taking Control of Your Self-Driving Car. EMNLP/IJCNLP (1) Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens
2019	J	`jnl`	Talk2Car: Taking Control of Your Self-Driving Car. CoRR Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens