Richard Hartley
37 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Academic Marathon (12) π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (64)
πΊοΈ
Taxonomy Completionist
(64)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(37)
π
Trend Setter
π₯
Unstoppable
(10)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(148)
π
Conference Pioneer
Conferences
CVPR (19)
ECCV (5)
ICCV (4)
ICLR (3)
WACV (3)
AAAI (1)
ICML (1)
NIPS (1)
Top co-authors
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