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Hakan Bilen
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2020 – today
- 2024
- [j5]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Universal Representations: A Unified Look at Multiple Task and Domain Learning. Int. J. Comput. Vis. 132(5): 1521-1545 (2024) - [c61]Davide Moltisanti, Hakan Bilen, Laura Sevilla-Lara, Frank Keller:
Coarse or Fine? Recognising Action End States without Labels. CVPR Workshops 2024: 1191-1200 - [c60]Ankan Bhunia, Changjian Li, Hakan Bilen:
Looking 3D: Anomaly Detection with 2D-3D Alignment. CVPR 2024: 17263-17272 - [c59]Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps. CVPR 2024: 19521-19530 - [c58]Bhathiya Hemanthage, Hakan Bilen, Phil Bartie, Christian Dondrup, Oliver Lemon:
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets. EMNLP 2024: 21784-21798 - [c57]Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen:
Multi-task Learning with 3D-Aware Regularization. ICLR 2024 - [c56]Bhathiya Hemanthage, Christian Dondrup, Hakan Bilen, Oliver Lemon:
Divide and Conquer: Rethinking Ambiguous Candidate Identification in Multimodal Dialogues with Pseudo-Labelling. SIGDIAL 2024: 222-227 - [i56]Davide Moltisanti, Hakan Bilen, Laura Sevilla-Lara, Frank Keller:
Coarse or Fine? Recognising Action End States without Labels. CoRR abs/2405.07723 (2024) - [i55]Jianning Deng, Kartic Subr, Hakan Bilen:
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis. CoRR abs/2406.16623 (2024) - [i54]Ankan Bhunia, Changjian Li, Hakan Bilen:
Looking 3D: Anomaly Detection with 2D-3D Alignment. CoRR abs/2406.19393 (2024) - [i53]Ankan Bhunia, Changjian Li, Hakan Bilen:
Odd-One-Out: Anomaly Detection by Comparing with Neighbors. CoRR abs/2406.20099 (2024) - [i52]Thibaut Goldsborough, Ben Philps, Alan O'Callaghan, Fiona Inglis, Leo Leplat, Andrew Filby, Hakan Bilen, Peter Bankhead:
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation. CoRR abs/2408.15954 (2024) - 2023
- [c55]Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero:
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CVPR 2023: 12608-12618 - [c54]Davide Moltisanti, Frank Keller, Hakan Bilen, Laura Sevilla-Lara:
Learning Action Changes by Measuring Verb-Adverb Textual Relationships. CVPR 2023: 23110-23118 - [c53]Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen:
Semi-supervised multimodal coreference resolution in image narrations. EMNLP 2023: 11067-11081 - [c52]Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen:
Who are you referring to? Coreference resolution in image narrations. ICCV 2023: 15201-15212 - [c51]Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen:
Accelerating Self-Supervised Learning via Efficient Training Strategies. WACV 2023: 5643-5653 - [c50]Bo Zhao, Hakan Bilen:
Dataset Condensation with Distribution Matching. WACV 2023: 6503-6512 - [i51]Davide Moltisanti, Frank Keller, Hakan Bilen, Laura Sevilla-Lara:
Learning Action Changes by Measuring Verb-Adverb Textual Relationships. CoRR abs/2303.15086 (2023) - [i50]Thomas Walker, Octave Mariotti, Amir Vaxman, Hakan Bilen:
Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields. CoRR abs/2306.02956 (2023) - [i49]Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen:
Multi-task Learning with 3D-Aware Regularization. CoRR abs/2310.00986 (2023) - [i48]Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen:
Semi-supervised multimodal coreference resolution in image narrations. CoRR abs/2310.13619 (2023) - [i47]Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps. CoRR abs/2312.13216 (2023) - 2022
- [c49]Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields. BMVC 2022: 740 - [c48]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Cross-domain Few-shot Learning with Task-specific Adapters. CVPR 2022: 7151-7160 - [c47]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CVPR 2022: 12186-12195 - [c46]Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen:
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation. CVPR 2022: 15575-15585 - [c45]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Learning Multiple Dense Prediction Tasks from Partially Annotated Data. CVPR 2022: 18857-18867 - [c44]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. ECCV (3) 2022: 485-502 - [c43]Lucas Deecke, Timothy M. Hospedales, Hakan Bilen:
Visual Representation Learning over Latent Domains. ICLR 2022 - [c42]Yu Yang, Xiaotian Cheng, Hakan Bilen, Xiangyang Ji:
Learning to Annotate Part Segmentation with Gradient Matching. ICLR 2022 - [c41]Titas Anciukevicius, Paul Henderson, Hakan Bilen:
Learning to Predict Keypoints and Structure of Articulated Objects without Supervision. ICPR 2022: 3383-3390 - [c40]Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji:
Distilling Representations from GAN Generator via Squeeze and Span. NeurIPS 2022 - [c39]Kai Xu, Rajkarn Singh, Hakan Bilen, Marco Fiore, Mahesh K. Marina, Yue Wang:
CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots. PerCom 2022: 119-129 - [c38]Yu Yang, Hakan Bilen, Qiran Zou, Wing Yin Cheung, Xiangyang Ji:
Learning Foreground-Background Segmentation from Improved Layered GANs. WACV 2022: 366-375 - [i46]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CoRR abs/2203.01531 (2022) - [i45]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. CoRR abs/2203.17178 (2022) - [i44]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Universal Representations: A Unified Look at Multiple Task and Domain Learning. CoRR abs/2204.02744 (2022) - [i43]Bo Zhao, Hakan Bilen:
Synthesizing Informative Training Samples with GAN. CoRR abs/2204.07513 (2022) - [i42]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You:
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders. CoRR abs/2205.11090 (2022) - [i41]Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji:
Distilling Representations from GAN Generator via Squeeze and Span. CoRR abs/2211.03000 (2022) - [i40]Yu Yang, Xiaotian Cheng, Hakan Bilen, Xiangyang Ji:
Learning to Annotate Part Segmentation with Gradient Matching. CoRR abs/2211.03003 (2022) - [i39]Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero:
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CoRR abs/2211.09869 (2022) - [i38]Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen:
Who are you referring to? Weakly supervised coreference resolution with multimodal grounding. CoRR abs/2211.14563 (2022) - [i37]Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation. CoRR abs/2212.00435 (2022) - [i36]Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields. CoRR abs/2212.00436 (2022) - [i35]Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen:
Accelerating Self-Supervised Learning via Efficient Training Strategies. CoRR abs/2212.05611 (2022) - 2021
- [c37]Kai Xu, Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Hakan Bilen, Muhammad Usama, Howard Benn, Cezary Ziemlicki:
SpectraGAN: spectrum based generation of city scale spatiotemporal mobile network traffic data. CoNEXT 2021: 243-258 - [c36]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Universal Representation Learning from Multiple Domains for Few-shot Classification. ICCV 2021: 9506-9515 - [c35]Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation. ICCV 2021: 10398-10408 - [c34]Bo Zhao, Konda Reddy Mopuri, Hakan Bilen:
Dataset Condensation with Gradient Matching. ICLR 2021 - [c33]Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves:
Neural Feature Matching in Implicit 3D Representations. ICML 2021: 1582-1593 - [c32]Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen:
Transfer-Based Semantic Anomaly Detection. ICML 2021: 2546-2558 - [c31]Bo Zhao, Hakan Bilen:
Dataset Condensation with Differentiable Siamese Augmentation. ICML 2021: 12674-12685 - [c30]Bo Zhao, Shixiang Tang, Dapeng Chen, Hakan Bilen, Rui Zhao:
Continual Representation Learning for Biometric Identification. WACV 2021: 1197-1207 - [i34]Bo Zhao, Hakan Bilen:
Dataset Condensation with Differentiable Siamese Augmentation. CoRR abs/2102.08259 (2021) - [i33]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Universal Representation Learning from Multiple Domains for Few-shot Classification. CoRR abs/2103.13841 (2021) - [i32]Yu Yang, Hakan Bilen, Qiran Zou, Wing Yin Cheung, Xiangyang Ji:
Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs. CoRR abs/2104.00483 (2021) - [i31]Octave Mariotti, Hakan Bilen:
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation. CoRR abs/2104.01103 (2021) - [i30]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Improving Task Adaptation for Cross-domain Few-shot Learning. CoRR abs/2107.00358 (2021) - [i29]Bo Zhao, Hakan Bilen:
Dataset Condensation with Distribution Matching. CoRR abs/2110.04181 (2021) - [i28]Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen:
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation. CoRR abs/2111.13517 (2021) - [i27]Wei-Hong Li, Xialei Liu, Hakan Bilen:
Learning Multiple Dense Prediction Tasks from Partially Annotated Data. CoRR abs/2111.14893 (2021) - 2020
- [c29]Mustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen:
Unsupervised Batch Normalization. CVPR Workshops 2020: 3994-3999 - [c28]Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. CVPR 2020: 8784-8794 - [c27]Wei-Hong Li, Hakan Bilen:
Knowledge Distillation for Multi-task Learning. ECCV Workshops (6) 2020: 163-176 - [c26]Arushi Goel, Basura Fernando, Thanh-Son Nguyen, Hakan Bilen:
Injecting Prior Knowledge into Image Caption Generation. ECCV Workshops (2) 2020: 369-385 - [c25]Octave Mariotti, Hakan Bilen:
Semi-supervised Viewpoint Estimation with Geometry-Aware Conditional Generation. ECCV Workshops (2) 2020: 631-647 - [c24]Basura Fernando, Cheston Yin Chet Tan, Hakan Bilen:
Weakly Supervised Gaussian Networks for Action Detection. WACV 2020: 526-535 - [i26]Bo Zhao, Konda Reddy Mopuri, Hakan Bilen:
iDLG: Improved Deep Leakage from Gradients. CoRR abs/2001.02610 (2020) - [i25]Lucas Deecke, Timothy M. Hospedales, Hakan Bilen:
Latent Domain Learning with Dynamic Residual Adapters. CoRR abs/2006.00996 (2020) - [i24]Bo Zhao, Shixiang Tang, Dapeng Chen, Hakan Bilen, Rui Zhao:
Continual Representation Learning for Biometric Identification. CoRR abs/2006.04455 (2020) - [i23]Bo Zhao, Konda Reddy Mopuri, Hakan Bilen:
Dataset Condensation with Gradient Matching. CoRR abs/2006.05929 (2020) - [i22]Wei-Hong Li, Hakan Bilen:
Knowledge Distillation for Multi-task Learning. CoRR abs/2007.06889 (2020) - [i21]Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen:
Deep Anomaly Detection by Residual Adaptation. CoRR abs/2010.02310 (2020)
2010 – 2019
- 2019
- [c23]Carlos Rodríguez-Pardo, Hakan Bilen:
Personalised Aesthetics with Residual Adapters. IbPRIA (1) 2019: 508-520 - [c22]James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi:
Unsupervised Learning of Landmarks by Descriptor Vector Exchange. ICCV 2019: 6360-6370 - [c21]Zhunxuan Wang, Zipei Wang, Qiqi Li, Hakan Bilen:
Image Deconvolution with Deep Image and Kernel Priors. ICCV Workshops 2019: 980-989 - [c20]Lucas Deecke, Iain Murray, Hakan Bilen:
Mode Normalization. ICLR (Poster) 2019 - [i20]Basura Fernando, Cheston Yin Chet Tan, Hakan Bilen:
Weakly Supervised Gaussian Networks for Action Detection. CoRR abs/1904.07774 (2019) - [i19]Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Learning Landmarks from Unaligned Data using Image Translation. CoRR abs/1907.02055 (2019) - [i18]Carlos Rodríguez-Pardo, Hakan Bilen:
Personalised aesthetics with residual adapters. CoRR abs/1907.03802 (2019) - [i17]James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi:
Unsupervised Learning of Landmarks by Descriptor Vector Exchange. CoRR abs/1908.06427 (2019) - [i16]Zhunxuan Wang, Zipei Wang, Qiqi Li, Hakan Bilen:
Image Deconvolution with Deep Image and Kernel Priors. CoRR abs/1910.08386 (2019) - [i15]Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Hakan Bilen, Andrea Vedaldi:
NormGrad: Finding the Pixels that Matter for Training. CoRR abs/1910.08823 (2019) - [i14]Arushi Goel, Basura Fernando, Thanh-Son Nguyen, Hakan Bilen:
Learning to Caption Images with Two-Stream Attention and Sentence Auto-Encoder. CoRR abs/1911.10082 (2019) - [i13]Wei-Hong Li, Chuan-Sheng Foo, Hakan Bilen:
Learning to Impute: A General Framework for Semi-supervised Learning. CoRR abs/1912.10364 (2019) - 2018
- [j4]Ian Mason, Sebastian Starke, He Zhang, Hakan Bilen, Taku Komura:
Few-shot Learning of Homogeneous Human Locomotion Styles. Comput. Graph. Forum 37(7): 143-153 (2018) - [j3]Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi:
Action Recognition with Dynamic Image Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2799-2813 (2018) - [c19]Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi:
Efficient Parametrization of Multi-Domain Deep Neural Networks. CVPR 2018: 8119-8127 - [c18]Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Unsupervised Learning of Object Landmarks through Conditional Image Generation. NeurIPS 2018: 4020-4031 - [c17]James Thewlis, Hakan Bilen, Andrea Vedaldi:
Modelling and unsupervised learning of symmetric deformable object categories. NeurIPS 2018: 8189-8200 - [i12]Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi:
Efficient parametrization of multi-domain deep neural networks. CoRR abs/1803.10082 (2018) - [i11]Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Conditional Image Generation for Learning the Structure of Visual Objects. CoRR abs/1806.07823 (2018) - [i10]Lucas Deecke, Iain Murray, Hakan Bilen:
Mode Normalization. CoRR abs/1810.05466 (2018) - 2017
- [c16]Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould:
Self-Supervised Video Representation Learning with Odd-One-Out Networks. CVPR 2017: 5729-5738 - [c15]James Thewlis, Hakan Bilen, Andrea Vedaldi:
Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings. ICCV 2017: 3229-3238 - [c14]Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi:
Learning multiple visual domains with residual adapters. NIPS 2017: 506-516 - [c13]James Thewlis, Hakan Bilen, Andrea Vedaldi:
Unsupervised learning of object frames by dense equivariant image labelling. NIPS 2017: 844-855 - [i9]Hakan Bilen, Andrea Vedaldi:
Universal representations: The missing link between faces, text, planktons, and cat breeds. CoRR abs/1701.07275 (2017) - [i8]James Thewlis, Hakan Bilen, Andrea Vedaldi:
Unsupervised learning of object landmarks by factorized spatial embeddings. CoRR abs/1705.02193 (2017) - [i7]Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi:
Learning multiple visual domains with residual adapters. CoRR abs/1705.08045 (2017) - [i6]James Thewlis, Hakan Bilen, Andrea Vedaldi:
Unsupervised object learning from dense equivariant image labelling. CoRR abs/1706.02932 (2017) - 2016
- [c12]Hakan Bilen, Andrea Vedaldi:
Weakly Supervised Deep Detection Networks. CVPR 2016: 2846-2854 - [c11]Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould:
Dynamic Image Networks for Action Recognition. CVPR 2016: 3034-3042 - [c10]Hakan Bilen, Andrea Vedaldi:
Integrated perception with recurrent multi-task neural networks. NIPS 2016: 235-243 - [i5]Hakan Bilen, Andrea Vedaldi:
Integrated perception with recurrent multi-task neural networks. CoRR abs/1606.01735 (2016) - [i4]Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi:
ResearchDoom and CocoDoom: Learning Computer Vision with Games. CoRR abs/1610.02431 (2016) - [i3]Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould:
Self-Supervised Video Representation Learning With Odd-One-Out Networks. CoRR abs/1611.06646 (2016) - [i2]Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi:
Action Recognition with Dynamic Image Networks. CoRR abs/1612.00738 (2016) - 2015
- [c9]Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars:
Weakly supervised object detection with convex clustering. CVPR 2015: 1081-1089 - [i1]Hakan Bilen, Andrea Vedaldi:
Weakly Supervised Deep Detection Networks. CoRR abs/1511.02853 (2015) - 2014
- [j2]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Object and Action Classification with Latent Window Parameters. Int. J. Comput. Vis. 106(3): 237-251 (2014) - [c8]Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars:
Weakly Supervised Detection with Posterior Regularization. BMVC 2014 - [c7]Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool:
Object Classification with Adaptable Regions. CVPR 2014: 3662-3669 - 2013
- [b1]Hakan Bilen:
Object Classification with Latent Parameters (Object herkenning met latente parameters) ; Object Classification with Latent Parameters. Katholieke Universiteit Leuven, Belgium, 2013 - 2012
- [j1]Hakan Bilen, Muhammet A. Hocaoglu, Mustafa Unel, Asif Sabanoviç:
Developing robust vision modules for microsystems applications. Mach. Vis. Appl. 23(1): 25-42 (2012) - [c6]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Classification with Global, Local and Shared Features. DAGM/OAGM Symposium 2012: 134-143 - 2011
- [c5]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Object and Action Classification with Latent Variables. BMVC 2011: 1-11 - [c4]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Action recognition: A region based approach. WACV 2011: 294-300
2000 – 2009
- 2009
- [c3]