Jean-Emmanuel HAUGEARD — accepted AI-conference papers

2025

JAFAR: Jack up Any Feature at Any Resolution

Paul Couairon, Loick Chambon, Louis Serrano, Jean-Emmanuel HAUGEARD, Matthieu Cord, Nicolas THOME

NeurIPS 2025poster

Foundation Vision Encoders have become indispensable across a wide range of dense vision tasks. However, their operation at low spatial feature resolutions necessitates subsequent feature decompression to enable full-resolution processing. To address this limitation, we introduce JAFAR, a lightweigh…

Cited by 0 Source ↗code ↗Scholar ↗

2024

DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut

Paul Couairon, Mustafa Shukor, Jean-Emmanuel HAUGEARD, Matthieu Cord, Nicolas THOME

NeurIPS 2024poster

Foundation models have emerged as powerful tools across various domains including language, vision, and multimodal tasks. While prior works have addressed unsupervised semantic segmentation, they significantly lag behind supervised models. In this paper, we use a diffusion UNet encoder as a foundati…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗