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Simon Vandenhende

7 papers · 2019–2023 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

ECCV (3) CVPR (1) EMNLP (1) ICCV (1) NeurIPS (1)

Top co-authors

Stamatios Georgoulis (4) Luc Van Gool (4) Wouter Van Gansbeke (3) Filip Radenovic (2) Dhruv Mahajan (2) Abhimanyu Dubey (1) Marie-Francine Moens (1) Vignesh Ramanathan (1) Yash Patel (1) Dusan Grujicic (1)

Research topics

Machine Learning (4) Learning Types · Machine Learning (4) Artificial Intelligence (2) Computer Vision (2) Deep Learning (2) Core AI (2) Learning Types · Deep Learning (2) Analysis (1) Application Areas (1) Core Methods (1) Domain-Specific (1)

Keywords

contrastive learning (3) representation learning (1) semantic segmentation (1) computer vision (1) self-supervised learning (1) knowledge distillation (1) multimodal learning (1) autonomous driving (1) visual grounding (1) visual representation (1) natural language understanding (1) vision-language model (1) image-text alignment (1) pixel embedding (1) hard negative mining (1) hard negative sampling (1) natural language command (1) hard negative (1) dataset filtering (1) zero-shot recognition (1)

Papers

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training CVPR 2023 Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals ECCV 2022 Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations NeurIPS 2021 Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals ICCV 2021 MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning ECCV 2020 SCAN: Learning to Classify Images without Labels ECCV 2020 Talk2Car: Taking Control of Your Self-Driving Car EMNLP 2019