activity
20202026
most citedDeep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis

13 citations · 14 across the 3 of their papers we have counts for

collaborators

6 papers

eess.IV2026

Adaptive Tiling for Least-Squares Phase Unwrapping: Runtime and Accuracy

Antoine Moevus, Max Mignotte

Phase unwrapping estimates the missing multiples of in measured phase images. For large images, tiling limits the size of local reconstruction problems and enables parallel pr…

eess.IV2026

BRiDCT: Fast Two-Dimensional DCTs Using SIMD: SIMD Organization, Register Blocking, and Numerical Verification

Antoine Moevus, Max Mignotte

Repeated two-dimensional discrete cosine transforms (DCTs) require implementations that remain fast across several array sizes while preserving the mathematical transform. Fewer ar…

eess.IV2026

Tile-Based Phase Unwrapping with Reliability-Ordered Joining and Residual-Weighted Multipath Averaging

Antoine Moevus, Max Mignotte

Phase unwrapping recovers a continuous phase map from measurements known only modulo 2π, in the presence of noise and discontinuities. We propose a tile-based method that combines…

cs.CV2022★ 1 cited

Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint

Didier Ndayikengurukiye, Max Mignotte

The effortless detection of salient objects by humans has been the subject of research in several fields, including computer vision as it has many applications. However, salient ob…

cs.CV2020

Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation

Lazhar Khelifi, Max Mignotte

Dynamic texture (DT) segmentation, and video processing in general, is currently widely dominated by methods based on deep neural networks that require the deployment of a large nu…

cs.CV2020★ 13 cited

Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis

Lazhar Khelifi, Max Mignotte

Deep learning (DL) algorithms are considered as a methodology of choice for remote-sensing image analysis over the past few years. Due to its effective applications, deep learning…