Ales Leonardis
37 papers · 2009–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ales Leonardis?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Steven McDonagh, Matteo Maggioni, Gregory Slabaugh
14 papers
· 2020–2024
· CVPR, ECCV, ICLR
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Multi-task Learning with 3D-Aware Regularization
ICLR 2024
Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes
ICCV 2023
Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
CVPR 2023
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
CVPR 2023
Tunable Convolutions With Parametric Multi-Loss Optimization
CVPR 2023
CroMo: Cross-Modal Learning for Monocular Depth Estimation
CVPR 2022
Model-Based Image Signal Processors via Learnable Dictionaries
AAAI 2022
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
IJCAI 2022
A Multi-Hypothesis Approach to Color Constancy
CVPR 2020
Image Demoireing with Learnable Bandpass Filters
CVPR 2020
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection
ECCV 2020
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning
ECCV 2020
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem
CVPR 2020
Wavelet-Based Dual-Branch Network for Image Demoiréing
ECCV 2020
6 papers whose co-authors appear nowhere else under this name
3D Superquadric Splatting
WACV 2026
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
ECCV 2022
Rolling Shutter Correction in Manhattan World
ICCV 2017
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-Manifold Shapes
ICCV 2015
Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models
CVPR 2015
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
NeurIPS 2009