output
20072025
most citedDeep Ordinal Regression Network for Monocular Depth Estimation

172 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2021★ 10 cited

Triplet-Watershed for Hyperspectral Image Classification

Aditya Challa, Sravan Danda, B. S. Daya Sagar +1

Hyperspectral images (HSI) consist of rich spatial and spectral information, which can potentially be used for several applications. However, noise, band correlations and high dime…

cs.CV2018★ 172 cited

Deep Ordinal Regression Network for Monocular Depth Estimation

Huan Fu, Mingming Gong, Chaohui Wang +2

Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem. Recent methods have gained significant improvement by exploring…

cs.CV2017★ 1 cited

SAR image despeckling through convolutional neural networks

G. Chierchia, D. Cozzolino, G. Poggi +1

In this paper we investigate the use of discriminative model learning through Convolutional Neural Networks (CNNs) for SAR image despeckling. The network uses a residual learning s…

cs.CV2016

Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection

Yongchao Xu, Thierry Géraud, Laurent Najman

Hierarchies, such as the tree of shapes, are popular representations for image simplification and segmentation thanks to their multiscale structures. Selecting meaningful level lin…

cs.CV2012★ 134 cited

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers

Clément Farabet, Camille Couprie, Laurent Najman +1

Scene parsing, or semantic segmentation, consists in labeling each pixel in an image with the category of the object it belongs to. It is a challenging task that involves the simul…