Hakan Bilen

Orcid: 0000-0002-6947-6918

According to our database1, Hakan Bilen authored at least 80 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps.
CoRR, 2023

Multi-task Learning with 3D-Aware Regularization.
CoRR, 2023

Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields.
CoRR, 2023

Dataset Condensation with Distribution Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Accelerating Self-Supervised Learning via Efficient Training Strategies.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Who are you referring to? Coreference resolution in image narrations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-supervised multimodal coreference resolution in image narrations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning Action Changes by Measuring Verb-Adverb Textual Relationships.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Who are you referring to? Weakly supervised coreference resolution with multimodal grounding.
CoRR, 2022

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders.
CoRR, 2022

Synthesizing Informative Training Samples with GAN.
CoRR, 2022

Universal Representations: A Unified Look at Multiple Task and Domain Learning.
CoRR, 2022

Learning Foreground-Background Segmentation from Improved Layered GANs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022

Distilling Representations from GAN Generator via Squeeze and Span.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Predict Keypoints and Structure of Articulated Objects without Supervision.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Learning to Annotate Part Segmentation with Gradient Matching.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Visual Representation Learning over Latent Domains.
Proceedings of the Tenth International Conference on Learning Representations, 2022

3D Equivariant Graph Implicit Functions.
Proceedings of the Computer Vision - ECCV 2022, 2022

CAFE: Learning to Condense Dataset by Aligning Features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Multiple Dense Prediction Tasks from Partially Annotated Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-domain Few-shot Learning with Task-specific Adapters.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Improving Task Adaptation for Cross-domain Few-shot Learning.
CoRR, 2021

Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs.
CoRR, 2021

Continual Representation Learning for Biometric Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Dataset Condensation with Differentiable Siamese Augmentation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Transfer-Based Semantic Anomaly Detection.
Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Feature Matching in Implicit 3D Representations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Dataset Condensation with Gradient Matching.
Proceedings of the 9th International Conference on Learning Representations, 2021

ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Universal Representation Learning from Multiple Domains for Few-shot Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SpectraGAN: spectrum based generation of city scale spatiotemporal mobile network traffic data.
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

2020
Deep Anomaly Detection by Residual Adaptation.
CoRR, 2020

Latent Domain Learning with Dynamic Residual Adapters.
CoRR, 2020

iDLG: Improved Deep Leakage from Gradients.
CoRR, 2020

Weakly Supervised Gaussian Networks for Action Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Semi-supervised Viewpoint Estimation with Geometry-Aware Conditional Generation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Knowledge Distillation for Multi-task Learning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Injecting Prior Knowledge into Image Caption Generation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Unsupervised Batch Normalization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning to Impute: A General Framework for Semi-supervised Learning.
CoRR, 2019

Learning to Caption Images with Two-Stream Attention and Sentence Auto-Encoder.
CoRR, 2019

NormGrad: Finding the Pixels that Matter for Training.
CoRR, 2019

Learning Landmarks from Unaligned Data using Image Translation.
CoRR, 2019

Mode Normalization.
Proceedings of the 7th International Conference on Learning Representations, 2019

Image Deconvolution with Deep Image and Kernel Priors.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Unsupervised Learning of Landmarks by Descriptor Vector Exchange.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Personalised Aesthetics with Residual Adapters.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018
Action Recognition with Dynamic Image Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Conditional Image Generation for Learning the Structure of Visual Objects.
CoRR, 2018

Few-shot Learning of Homogeneous Human Locomotion Styles.
Comput. Graph. Forum, 2018

Modelling and unsupervised learning of symmetric deformable object categories.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Unsupervised Learning of Object Landmarks through Conditional Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient Parametrization of Multi-Domain Deep Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Unsupervised object learning from dense equivariant image labelling.
CoRR, 2017

Universal representations: The missing link between faces, text, planktons, and cat breeds.
CoRR, 2017

Unsupervised learning of object frames by dense equivariant image labelling.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning multiple visual domains with residual adapters.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Self-Supervised Video Representation Learning with Odd-One-Out Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
ResearchDoom and CocoDoom: Learning Computer Vision with Games.
CoRR, 2016

Integrated perception with recurrent multi-task neural networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Weakly Supervised Deep Detection Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Dynamic Image Networks for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Weakly supervised object detection with convex clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Object and Action Classification with Latent Window Parameters.
Int. J. Comput. Vis., 2014

Object Classification with Adaptable Regions.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Weakly Supervised Detection with Posterior Regularization.
Proceedings of the British Machine Vision Conference, 2014

2013
Object Classification with Latent Parameters (Object herkenning met latente parameters) ; Object Classification with Latent Parameters.
PhD thesis, 2013

2012
Developing robust vision modules for microsystems applications.
Mach. Vis. Appl., 2012

Classification with Global, Local and Shared Features.
Proceedings of the Pattern Recognition, 2012

2011
Action recognition: A region based approach.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Object and Action Classification with Latent Variables.
Proceedings of the British Machine Vision Conference, 2011

2009
Novel parameter estimation schemes in microsystems.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008
Micromanipulation Using a Microassembly Workstation with Vision and Force Sensing.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
A comparative study of conventional visual servoing schemes in microsystem applications.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007


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