← Authors

Richard Hartley

37 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (64) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (37) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (148) πŸš€ Conference Pioneer

Conferences

CVPR (19) ECCV (5) ICCV (4) ICLR (3) WACV (3) AAAI (1) ICML (1) NIPS (1)

Top co-authors

miaomiao Liu (7) Mathieu Salzmann (7) Hongdong Li (7) Thalaiyasingam Ajanthan (6) Liyuan Pan (5) Mehrtash Harandi (5) Amir Rahimi (5) Amirreza Shaban (4) Byron Boots (4) Jing Zhang (4)

Keywords

image restoration (5) manifold learning (4) energy minimization (3) optical flow (3) kernel methods (3) riemannian manifold (3) graph cut (3) 3d reconstruction (2) optical flow estimation (2) support vector machine (2) few-shot learning (2) non-convex optimization (2) surface reconstruction (2) variational inference (2) image deblurring (2) unsupervised learning (2) motion deblurring (2) event camera (2) image segmentation (2) motion estimation (2)

Papers

Probability Density Geodesics in Image Diffusion Latent Space CVPR 2025
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network CVPR 2024
Adversarial Purification with the Manifold Hypothesis AAAI 2024
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models ICLR 2024
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes ICLR 2024
Motion Mamba: Efficient and Long Sequence Motion Generation ECCV 2024
Few-Shot Weakly-Supervised Object Detection via Directional Statistics WACV 2022
Manifold Learning Benefits GANs CVPR 2022
ERA: Enhanced Rational Activations ECCV 2022
Learning Optical Flow From a Few Matches CVPR 2021
Calibration of Neural Networks using Splines ICLR 2021
Learning To Estimate Hidden Motions With Global Motion Aggregation ICCV 2021
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration CVPR 2021
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency WACV 2020
Single Image Optical Flow Estimation With an Event Camera CVPR 2020
Fast Postprocessing for Difficult Discrete Energy Minimization Problems WACV 2020
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization ECCV 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NIPS 2020
Siamese Networks: The Tale of Two Manifolds ICCV 2019
Proximal Mean-Field for Neural Network Quantization ICCV 2019
Learning to Find Common Objects Across Few Image Collections ICCV 2019
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera CVPR 2019
Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring CVPR 2019
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective CVPR 2018
Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes CVPR 2018
Non-Linear Temporal Subspace Representations for Activity Recognition CVPR 2018
Face Super-resolution Guided by Facial Component Heatmaps ECCV 2018
Action Anticipation with RBF Kernelized Feature Mapping RNN ECCV 2018
Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017
Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016
A Linear Least-Squares Solution to Elastic Shape-From-Template CVPR 2015
Iteratively Reweighted Graph Cut for Multi-Label MRFs With Non-Convex Priors CVPR 2015
On Projective Reconstruction In Arbitrary Dimensions CVPR 2014
Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014
Mirror Surface Reconstruction from a Single Image CVPR 2013
Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity CVPR 2013
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013