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2020 – today
- 2024
[j11]Phong Nguyen
, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2758-2769 (2024)- [c132]Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin:
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. ECCV (71) 2024: 160-177 - [c131]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Synchformer: Efficient Synchronization From Sparse Cues. ICASSP 2024: 5325-5329 - [c130]Afshin Dini, Esa Rahtu:
Detecting Anomalies in Textured Images Using Modified Transformer Masked Autoencoder. VISIGRAPP (2): VISAPP 2024: 191-200 - [c129]Afshin Dini, Marja Mettänen, Esa Rahtu:
Anomaly Detection and Localization for Images of Running Paper Web in Paper Manufacturing. VISIGRAPP (2): VISAPP 2024: 678-685 - [c128]Xuqian Ren, Wenjia Wang, Dingding Cai, Tuuli Tuominen, Juho Kannala, Esa Rahtu:
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis. WACV 2024: 4496-4505 - [i77]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Bridging the gap between image coding for machines and humans. CoRR abs/2401.10732 (2024) - [i76]Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu:
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. CoRR abs/2401.10761 (2024) - [i75]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Synchformer: Efficient Synchronization from Sparse Cues. CoRR abs/2401.16423 (2024) - [i74]Dingding Cai, Janne Heikkilä, Esa Rahtu:
GS-Pose: Cascaded Framework for Generalizable Segmentation-based 6D Object Pose Estimation. CoRR abs/2403.10683 (2024) - [i73]Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin:
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. CoRR abs/2403.13327 (2024) - [i72]Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala:
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. CoRR abs/2403.17822 (2024) - [i71]Mostafa Mansour, Ahmed Abdelsalam, Ari Happonen, Jari Porras, Esa Rahtu:
UDGS-SLAM : UniDepth Assisted Gaussian Splatting for Monocular SLAM. CoRR abs/2409.00362 (2024) - [i70]Ilpo Viertola, Vladimir Iashin, Esa Rahtu:
Temporally Aligned Audio for Video with Autoregression. CoRR abs/2409.13689 (2024) - [i69]Xuqian Ren, Matias Turkulainen, Jiepeng Wang, Otto Seiskari, Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones. CoRR abs/2411.19271 (2024) - 2023
- [c127]Amirhossein Hassankhani, Hamed Rezazadegan Tavakoli, Esa Rahtu:
Momentum Adapt: Robust Unsupervised Adaptation for Improving Temporal Consistency in Video Semantic Segmentation During Test-Time. BMVC 2023: 709-714 - [c126]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CVPR 2023: 14277-14286 - [c125]Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu:
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. ISM 2023: 10-19 - [c124]Jukka I. Ahonen, Nam Le, Honglei Zhang, Francesco Cricri, Esa Rahtu:
Region of Interest Enabled Learned Image Coding for Machines. MMSP 2023: 1-6 - [c123]Jukka Peltomäki, Farid Alijani, Jussi Puura, Heikki Huttunen, Esa Rahtu, Joni-Kristian Kämäräinen:
LiDAR Place Recognition Evaluation with the Oxford Radar RobotCar Dataset Revised. SCIA (1) 2023: 3-16 - [c122]Juan Pablo Lagos, Urho Lempiö, Esa Rahtu:
FinnWoodlands Dataset. SCIA (1) 2023: 95-110 - [c121]Atakan Dag, Farid Alijani, Jukka Peltomäki, Lauri Suomela, Esa Rahtu, Harry Edelman, Joni-Kristian Kämäräinen:
TAU-Indoors Dataset for Visual and LiDAR Place Recognition. SCIA (2) 2023: 326-339 - [c120]Dingding Cai, Janne Heikkilä, Esa Rahtu:
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation. SCIA (2) 2023: 467-481 - [c119]Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-Scale 3D Reconstruction from RGB-D Images. SCIA (2) 2023: 551-565 - [c118]Afshin Dini, Esa Rahtu:
Visual Anomaly Detection and Localization with a Patch-Wise Transformer and Convolutional Model. VISIGRAPP (5: VISAPP) 2023: 144-152 - [c117]Saeed Bakhshi Germi, Esa Rahtu:
IFMix: Utilizing Intermediate Filtered Images for Domain Adaptation in Classification. VISIGRAPP (5: VISAPP) 2023: 205-211 - [c116]Juan Pablo Lagos, Esa Rahtu:
PanDepth: Joint Panoptic Segmentation and Depth Completion. VISIGRAPP (5: VISAPP) 2023: 635-643 - [i68]Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-scale 3D Reconstruction from RGB-D Images. CoRR abs/2301.01057 (2023) - [i67]Dingding Cai, Janne Heikkilä, Esa Rahtu:
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation. CoRR abs/2302.07300 (2023) - [i66]Juan Pablo Lagos, Urho Lempiö, Esa Rahtu:
FinnWoodlands Dataset. CoRR abs/2304.00793 (2023) - [i65]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CoRR abs/2304.01816 (2023) - [i64]Xuqian Ren, Wenjia Wang, Dingding Cai, Tuuli Tuominen, Juho Kannala, Esa Rahtu:
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis. CoRR abs/2311.02778 (2023) - 2022
- [j10]Anup Kumar Gupta, Puneet Gupta, Esa Rahtu:
FATALRead - Fooling visual speech recognition models. Appl. Intell. 52(8): 9001-9016 (2022) - [c115]Dingding Cai, Janne Heikkilä, Esa Rahtu:
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. 3DV 2022: 536-546 - [c114]Saeed Bakhshi Germi, Esa Rahtu:
A Practical Overview of Safety Concerns and Mitigation Methods for Visual Deep Learning Algorithms. SafeAI@AAAI 2022 - [c113]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors. BMVC 2022: 395 - [c112]Amir Mehman Sefat, Alexandre Angleraud, Esa Rahtu, Roel Pieters:
SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration. CASE 2022: 390-396 - [c111]Dingding Cai, Janne Heikkilä, Esa Rahtu:
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. CVPR 2022: 6793-6803 - [c110]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CVPR 2022: 21044-21053 - [c109]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CVPR 2022: 21075-21083 - [c108]Leevi Raivio, Esa Rahtu:
Online Panoptic 3D Reconstruction as a Linear Assignment Problem. ICIAP (2) 2022: 39-50 - [c107]Saeed Bakhshi Germi, Esa Rahtu:
Enhanced Data-Recalibration: Utilizing Validation Data to Mitigate Instance-Dependent Noise in Classification. ICIAP (1) 2022: 621-632 - [c106]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Bridging the Gap Between Image Coding for Machines and Humans. ICIP 2022: 3411-3415 - [c105]Farid Alijani, Jukka Peltomäki, Jussi Puura, Heikki Huttunen, Joni-Kristian Kämäräinen, Esa Rahtu:
Long-term Visual Place Recognition. ICPR 2022: 3422-3428 - [c104]Afshin Dini, Esa Rahtu:
TPSAD: Learning to Detect and Localize Anomalies With Thin Plate Spline Transformation. ICPR 2022: 4744-4750 - [c103]Nannan Zou, Francesco Cricri, Honglei Zhang, Hamed R. Tavakoli, Miska M. Hannuksela, Esa Rahtu:
The Lottery Ticket Adaptation for Neural Video Coding. ISM 2022: 141-145 - [c102]Juan Pablo Lagos, Esa Rahtu:
SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion. VISIGRAPP (5: VISAPP) 2022: 155-165 - [c101]Farid Alijani, Jukka Peltomäki, Jussi Puura, Heikki Huttunen, Joni-Kristian Kämäräinen, Esa Rahtu:
Evaluation of Long-term Deep Visual Place Recognition. VISIGRAPP (5: VISAPP) 2022: 437-447 - [c100]Farid Alijani, Jukka Peltomäki, Jussi Puura, Heikki Huttunen, Joni-Kristian Kämäräinen, Esa Rahtu:
Evaluation of RGB and LiDAR Combination for Robust Place Recognition. VISIGRAPP (5: VISAPP) 2022: 650-658 - [c99]Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin:
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. WACV 2022: 287-296 - [c98]Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. WACV 2022: 326-336 - [c97]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points. WACV 2022: 2121-2130 - [c96]Lingyu Zhu, Esa Rahtu:
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations. WACV 2022: 2171-2181 - [c95]Lingyu Zhu, Esa Rahtu:
V-SlowFast Network for Efficient Visual Sound Separation. WACV 2022: 2182-2192 - [i63]Dingding Cai, Janne Heikkilä, Esa Rahtu:
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. CoRR abs/2203.01072 (2022) - [i62]Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
Fast Neural Architecture Search for Lightweight Dense Prediction Networks. CoRR abs/2203.01994 (2022) - [i61]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CoRR abs/2203.14438 (2022) - [i60]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CoRR abs/2203.16062 (2022) - [i59]Leevi Raivio, Esa Rahtu:
Online panoptic 3D reconstruction as a Linear Assignment Problem. CoRR abs/2204.00231 (2022) - [i58]Lingyu Zhu, Esa Rahtu, Hang Zhao:
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision. CoRR abs/2207.01136 (2022) - [i57]Dingding Cai, Janne Heikkilä, Esa Rahtu:
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. CoRR abs/2208.02129 (2022) - [i56]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
HRF-Net: Holistic Radiance Fields from Sparse Inputs. CoRR abs/2208.04717 (2022) - [i55]Lassi Raatikainen, Esa Rahtu:
The Weighting Game: Evaluating Quality of Explainability Methods. CoRR abs/2208.06175 (2022) - [i54]Juan Pablo Lagos, Esa Rahtu:
SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion. CoRR abs/2209.00381 (2022) - [i53]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors. CoRR abs/2210.07055 (2022) - [i52]Farid Alijani, Esa Rahtu:
Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition. CoRR abs/2211.07696 (2022) - [i51]Juan Pablo Lagos, Esa Rahtu:
PanDepth: Joint Panoptic Segmentation and Depth Completion. CoRR abs/2212.14180 (2022) - 2021
- [j9]Adam Ligocki, Ales Jelinek, Ludek Zalud, Esa Rahtu:
Fully Automated DCNN-Based Thermal Images Annotation Using Neural Network Pretrained on RGB Data. Sensors 21(4): 1552 (2021) - [c94]Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. 3DV 2021: 228-238 - [c93]Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. 3DV 2021: 1095-1105 - [c92]Vladimir Iashin, Esa Rahtu:
Taming Visually Guided Sound Generation. BMVC 2021: 2 - [c91]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information. CVPR Workshops 2021: 1870-1874 - [c90]Lingyu Zhu, Esa Rahtu:
Leveraging Category Information for Single-Frame Visual Sound Source Separation. EUVIP 2021: 1-6 - [c89]Bishwo Adhikari, Esa Rahtu, Heikki Huttunen:
Sample Selection for Efficient Image Annotation. EUVIP 2021: 1-6 - [c88]Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen:
Selective Probabilistic Classifier Based on Hypothesis Testing. EUVIP 2021: 1-6 - [c87]Xingyang Ni, Esa Rahtu:
FlipReID: Closing the Gap Between Training and Inference in Person Re-Identification. EUVIP 2021: 1-6 - [c86]Saad Ahmad, Kulunu Samarawickrama, Esa Rahtu, Roel Pieters:
Automatic Dataset Generation From CAD for Vision-Based Grasping. ICAR 2021: 715-721 - [c85]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu:
Image Coding For Machines: an End-To-End Learned Approach. ICASSP 2021: 1590-1594 - [c84]Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä:
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. ICCV 2021: 12747-12756 - [c83]Xingyang Ni, Heikki Huttunen, Esa Rahtu:
On the Importance of Encrypting Deep Features. ICCVW 2021: 4125-4132 - [c82]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu:
Learned Image Coding for Machines: A Content-Adaptive Approach. ICME 2021: 1-6 - [c81]Jukka Peltomäki, Farid Alijani, Jussi Puura, Heikki Huttunen, Esa Rahtu, Joni-Kristian Kämäräinen:
Evaluation of Long-term LiDAR Place Recognition. IROS 2021: 4487-4492 - [c80]María Santamaría, Yat-Hong Lam, Francesco Cricri, Jani Lainema, Ramin Ghaznavi Youvalari, Honglei Zhang, Miska M. Hannuksela, Esa Rahtu, Moncef Gabbouj:
Content-adaptive convolutional neural network post-processing filter. ISM 2021: 99-106 - [c79]Joni Seppälä, Honglei Zhang, Nam Le, Ramin Ghaznavi Youvalari, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Enhancing Image Coding for Machines with Compressed Feature Residuals. ISM 2021: 217-225 - [c78]Jukka I. Ahonen, Ramin Ghaznavi Youvalari, Nam Le, Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu:
Learned Enhancement Filters for Image Coding for Machines. ISM 2021: 235-239 - [c77]Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Adaptation and Attention for Neural Video Coding. ISM 2021: 240-244 - [c76]Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen:
Towards a Real-Time Facial Analysis System. MMSP 2021: 1-6 - [c75]Farid Alijani, Esa Rahtu:
Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition. MMSP 2021: 1-6 - [c74]Farid Alijani, Esa Rahtu:
Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition. MMSP 2021: 1 - [c73]Bishwo Adhikari, Jukka Peltomäki, Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen:
Effect of Label Noise on Robustness of Deep Neural Network Object Detectors. SAFECOMP Workshops 2021: 239-250 - [c72]Soumya Tripathy, Juho Kannala, Esa Rahtu:
FACEGAN: Facial Attribute Controllable rEenactment GAN. WACV 2021: 1328-1337 - [i50]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points. CoRR abs/2104.03117 (2021) - [i49]Lingyu Zhu, Esa Rahtu:
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations. CoRR abs/2104.08506 (2021) - [i48]Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen:
Selective Probabilistic Classifier Based on Hypothesis Testing. CoRR abs/2105.03876 (2021) - [i47]Bishwo Adhikari, Esa Rahtu, Heikki Huttunen:
Sample selection for efficient image annotation. CoRR abs/2105.04678 (2021) - [i46]Xingyang Ni, Esa Rahtu:
FlipReID: Closing the Gap between Training and Inference in Person Re-Identification. CoRR abs/2105.05639 (2021) - [i45]Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin:
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. CoRR abs/2106.11857 (2021) - [i44]Xingyang Ni, Heikki Huttunen, Esa Rahtu:
On the Importance of Encrypting Deep Features. CoRR abs/2108.07147 (2021) - [i43]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu:
Learned Image Coding for Machines: A Content-Adaptive Approach. CoRR abs/2108.09992 (2021) - [i42]Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu:
Image coding for machines: an end-to-end learned approach. CoRR abs/2108.09993 (2021) - [i41]Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. CoRR abs/2108.11098 (2021) - [i40]Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. CoRR abs/2108.11105 (2021) - [i39]Lingyu Zhu, Esa Rahtu:
V-SlowFast Network for Efficient Visual Sound Separation. CoRR abs/2109.08867 (2021) - [i38]Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen:
Towards a Real-Time Facial Analysis System. CoRR abs/2109.10393 (2021) - [i37]Vladimir Iashin, Esa Rahtu:
Taming Visually Guided Sound Generation. CoRR abs/2110.08791 (2021) - [i36]Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Adaptation and Attention for Neural Video Coding. CoRR abs/2112.08767 (2021) - 2020
- [j8]Omkar M. Parkhi, Esa Rahtu, Qiong Cao, Andrew Zisserman:
Automated Video Face Labelling for Films and TV Material. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 780-792 (2020) - [c71]Lingyu Zhu, Esa Rahtu:
Visually Guided Sound Source Separation Using Cascaded Opponent Filter Network. ACCV (6) 2020: 409-426 - [c70]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Sequential View Synthesis with Transformer. ACCV (4) 2020: 695-711 - [c69]Vladimir Iashin, Esa Rahtu:
A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer. BMVC 2020 - [c68]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. BMVC 2020 - [c67]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. CVPR Workshops 2020: 580-584 - [c66]Vladimir Iashin, Esa Rahtu:
Multi-modal Dense Video Captioning. CVPR Workshops 2020: 4117-4126 - [c65]Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Guiding Monocular Depth Estimation Using Depth-Attention Volume. ECCV (26) 2020: 581-597 - [c64]Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu:
Deep Audio-Visual Saliency: Baseline Model and Data. ETRA Short Papers 2020: 23:1-23:5 - [c63]Farid Alijani, Esa Rahtu:
Deep Learning Off-the-shelf Holistic Feature Descriptors for Visual Place Recognition in Challenging Conditions. MMSP 2020: 1-6 - [c62]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu:
L2C - Learning to Learn to Compress. MMSP 2020: 1-6 - [c61]Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. WACV 2020: 3374-3383 - [i35]Vladimir Iashin, Esa Rahtu:
Multi-modal Dense Video Captioning. CoRR abs/2003.07758 (2020) - [i34]Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Guiding Monocular Depth Estimation Using Depth-Attention Volume. CoRR abs/2004.02760 (2020) - [i33]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Sequential Neural Rendering with Transformer. CoRR abs/2004.04548 (2020) - [i32]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. CoRR abs/2004.09226 (2020) - [i31]Vladimir Iashin, Esa Rahtu:
A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer. CoRR abs/2005.08271 (2020) - [i30]Lingyu Zhu, Esa Rahtu:
Visually Guided Sound Source Separation using Cascaded Opponent Filter Network. CoRR abs/2006.03028 (2020) - [i29]Lingyu Zhu, Esa Rahtu:
Separating Sounds from a Single Image. CoRR abs/2007.07984 (2020) - [i28]Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska M. Hannuksela, Emre Aksu, Esa Rahtu:
L2C - Learning to Learn to Compress. CoRR abs/2007.16054 (2020) - [i27]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. CoRR abs/2009.00325 (2020) - [i26]Soumya Tripathy, Juho Kannala, Esa Rahtu:
FACEGAN: Facial Attribute Controllable rEenactment GAN. CoRR abs/2011.04439 (2020) - [i25]Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting color and depth images for novel views synthesis. CoRR abs/2011.14398 (2020) - [i24]Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. CoRR abs/2012.10296 (2020)
2010 – 2019
- 2019
- [c60]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CVPR 2019: 7596-7604 - [c59]Puneet Gupta, Esa Rahtu:
MLAttack: Fooling Semantic Segmentation Networks by Multi-layer Attacks. GCPR 2019: 401-413 - [c58]Puneet Gupta, Esa Rahtu:
CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising. ICCV 2019: 6707-6716 - [c57]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Predicting Novel Views Using Generative Adversarial Query Network. SCIA 2019: 16-27 - [c56]Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper Into Egocentric Gaze Prediction. WACV 2019: 273-282 - [c55]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. WACV 2019: 1034-1042 - [i23]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CoRR abs/1903.11328 (2019) - [i22]Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. CoRR abs/1904.01909 (2019) - [i21]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Predicting Novel Views Using Generative Adversarial Query Network. CoRR abs/1904.05124 (2019) - [i20]Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper into Egocentric Gaze Prediction. CoRR abs/1904.06090 (2019) - [i19]Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala:
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. CoRR abs/1904.06236 (2019) - [i18]Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala:
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. CoRR abs/1905.10693 (2019) - 2018
- [j7]Antonio Tejero-de-Pablos, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya, Marko Linna, Esa Rahtu:
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features. IEEE Trans. Multim. 20(8): 2000-2011 (2018) - [c54]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Learning Image-to-Image Translation Using Paired and Unpaired Training Samples. ACCV (2) 2018: 51-66 - [c53]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. ECCV (10) 2018: 425-440 - [c52]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
Inertial Odometry on Handheld Smartphones. FUSION 2018: 1-5 - [c51]Hamed R. Tavakoli, Ali Borji, Rao Muhammad Anwer, Esa Rahtu, Juho Kannala:
Bottom-Up Attention Guidance for Recurrent Image Recognition. ICIP 2018: 3004-3008 - [c50]Marko Linna, Juho Kannala, Esa Rahtu:
Real-time Human Pose Estimation with Convolutional Neural Networks. VISIGRAPP (5: VISAPP) 2018: 335-342 - [c49]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. WACV 2018: 616-625 - [d3]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. Version 1. Zenodo, 2018 [all versions]
- [d2]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. Version 2. Zenodo, 2018 [all versions] - [d1]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. Version 3. Zenodo, 2018 [all versions] - [i17]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Learning image-to-image translation using paired and unpaired training samples. CoRR abs/1805.03189 (2018) - [i16]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An authentic dataset for visual-inertial odometry. CoRR abs/1807.09828 (2018) - [i15]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. CoRR abs/1810.08393 (2018) - 2017
- [j6]Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu:
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. Neurocomputing 244: 10-18 (2017) - [c48]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Relative Camera Pose Estimation Using Convolutional Neural Networks. ACIVS 2017: 675-687 - [c47]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Image-Based Localization Using Hourglass Networks. ICCV Workshops 2017: 870-877 - [c46]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala:
A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. SCIA (2) 2017: 290-301 - [i14]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala:
A novel method for automatic localization of joint area on knee plain radiographs. CoRR abs/1701.08991 (2017) - [i13]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Relative Camera Pose Estimation Using Convolutional Neural Networks. CoRR abs/1702.01381 (2017) - [i12]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
Inertial Odometry on Handheld Smartphones. CoRR abs/1703.00154 (2017) - [i11]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Image-based Localization using Hourglass Networks. CoRR abs/1703.07971 (2017) - [i10]Hamed Rezazadegan Tavakoli, Jorma Laaksonen, Esa Rahtu:
Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction. CoRR abs/1704.02218 (2017) - [i9]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. CoRR abs/1708.00894 (2017) - [i8]Antonio Tejero-de-Pablos, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya, Marko Linna, Esa Rahtu:
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features. CoRR abs/1709.08421 (2017) - [i7]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala:
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. CoRR abs/1710.10589 (2017) - [i6]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. CoRR abs/1710.11359 (2017) - 2016
- [c45]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Video Summarization Using Deep Semantic Features. ACCV (5) 2016: 361-377 - [c44]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. ACCV Workshops (3) 2016: 638-653 - [c43]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Learning Joint Representations of Videos and Sentences with Web Image Search. ECCV Workshops (1) 2016: 651-667 - [c42]Zakaria Laskar, Sami Huttunen, Daniel Herrera C., Esa Rahtu, Juho Kannala:
Robust loop closures for scene reconstruction by combining odometry and visual correspondences. ICIP 2016: 2603-2607 - [c41]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Siamese network features for image matching. ICPR 2016: 378-383 - [c40]Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen:
On the Contribution of Saliency in Visual Tracking. VISIGRAPP (4: VISAPP) 2016: 17-21 - [i5]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Learning Joint Representations of Videos and Sentences with Web Image Search. CoRR abs/1608.02367 (2016) - [i4]Marko Linna, Juho Kannala, Esa Rahtu:
Real-time Human Pose Estimation from Video with Convolutional Neural Networks. CoRR abs/1609.07420 (2016) - [i3]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Video Summarization using Deep Semantic Features. CoRR abs/1609.08758 (2016) - [i2]Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu:
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. CoRR abs/1610.06449 (2016) - 2015
- [c39]Marko Linna, Juho Kannala, Esa Rahtu:
Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking. ACIVS 2015: 403-414 - [c38]Simo Särkkä, Ville Tolvanen, Juho Kannala, Esa Rahtu:
Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems. IPIN 2015: 1-7 - 2014
- [c37]Pekka Rantalankila, Juho Kannala, Esa Rahtu:
Generating Object Segmentation Proposals Using Global and Local Search. CVPR 2014: 2417-2424 - [c36]Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed:
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c35]Matthew B. Blaschko, Arpit Mittal, Esa Rahtu:
An O(n \log n) Cutting Plane Algorithm for Structured Output Ranking. GCPR 2014: 132-143 - [c34]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience. ECCV Workshops (2) 2014: 124-134 - [c33]Hamed Rezazadegan Tavakoli, Victoria Yanulevskaya, Esa Rahtu, Janne Heikkilä, Nicu Sebe:
Emotional Valence Recognition, Analysis of Salience and Eye Movements. ICPR 2014: 4666-4671 - [c32]Makarand Tapaswi, Omkar M. Parkhi, Esa Rahtu, Eric Sommerlade, Rainer Stiefelhagen, Andrew Zisserman:
Total Cluster: A person agnostic clustering method for broadcast videos. ICVGIP 2014: 7:1-7:8 - 2013
- [j5]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Stochastic bottom-up fixation prediction and saccade generation. Image Vis. Comput. 31(9): 686-693 (2013) - [j4]Jie Chen, Guoying Zhao, Mikko Salo, Esa Rahtu, Matti Pietikäinen:
Automatic Dynamic Texture Segmentation Using Local Descriptors and Optical Flow. IEEE Trans. Image Process. 22(1): 326-339 (2013) - [c31]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling. ACIVS 2013: 695-704 - [c30]Matthew B. Blaschko, Juho Kannala, Esa Rahtu:
Non Maximal Suppression in Cascaded Ranking Models. SCIA 2013: 408-419 - [c29]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Saliency Detection Using Joint Temporal and Spatial Decorrelation. SCIA 2013: 707-717 - [p1]Janne Heikkilä, Esa Rahtu, Ville Ojansivu:
Local Phase Quantization for Blur Insensitive Texture Description. Local Binary Patterns 2013: 49-84 - [i1]Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew B. Blaschko, Andrea Vedaldi:
Fine-Grained Visual Classification of Aircraft. CoRR abs/1306.5151 (2013) - 2012
- [j3]Esa Rahtu, Janne Heikkilä, Ville Ojansivu, Timo Ahonen:
Local phase quantization for blur-insensitive image analysis. Image Vis. Comput. 30(8): 501-512 (2012) - [c28]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Temporal Saliency for Fast Motion Detection. ACCV Workshops (1) 2012: 321-326 - [c27]Yuning Chai, Esa Rahtu, Victor S. Lempitsky, Luc Van Gool, Andrew Zisserman:
TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. ECCV (1) 2012: 794-807 - [c26]Juho Kannala, Esa Rahtu:
BSIF: Binarized statistical image features. ICPR 2012: 1363-1366 - 2011
- [c25]Esa Rahtu, Juho Kannala, Matthew B. Blaschko:
Learning a category independent object detection cascade. ICCV 2011: 1052-1059 - [c24]Anu Pramila, Anja Keskinarkaus, Esa Rahtu, Tapio Seppänen:
Watermark Recovery from a Dual Layer Hologram with a Digital Camera. SCIA 2011: 146-155 - [c23]Sami Huttunen, Esa Rahtu, Iivari Kunttu, Juuso Grén, Janne Heikkilä:
Real-Time Detection of Landscape Scenes. SCIA 2011: 338-347 - [c22]Juhani Päivärinta, Esa Rahtu, Janne Heikkilä:
Volume Local Phase Quantization for Blur-Insensitive Dynamic Texture Classification. SCIA 2011: 360-369 - [c21]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation. SCIA 2011: 666-675 - 2010
- [c20]Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkilä:
Segmenting Salient Objects from Images and Videos. ECCV (5) 2010: 366-379 - [c19]Janne Heikkilä, Ville Ojansivu, Esa Rahtu:
Improved Blur Insensitivity for Decorrelated Local Phase Quantization. ICPR 2010: 818-821 - [c18]Esa Rahtu, Mikko Salo, Janne Heikkilä:
Compressing Sparse Feature Vectors Using Random Ortho-Projections. ICPR 2010: 1397-1400 - [c17]Juha Hanni, Esa Rahtu, Janne Heikkilä:
The Structural Form in Image Categorization. VISAPP (2) 2010: 345-350
2000 – 2009
- 2009
- [c16]Esa Rahtu, Janne Heikkilä:
A Simple and efficient saliency detector for background subtraction. ICCV Workshops 2009: 1137-1144 - [c15]Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lepistö, Janne Heikkilä:
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy. ICIAP 2009: 873-882 - [c14]Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Heikkilä:
Dense and Deformable Motion Segmentation for Wide Baseline Images. SCIA 2009: 379-389 - 2008
- [c13]Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Heikkilä:
Object recognition and segmentation by non-rigid quasi-dense matching. CVPR 2008 - [c12]Timo Ahonen, Esa Rahtu, Ville Ojansivu, Janne Heikkilä:
Recognition of blurred faces using Local Phase Quantization. ICPR 2008: 1-4 - [c11]Ville Ojansivu, Esa Rahtu, Janne Heikkilä:
Rotation invariant local phase quantization for blur insensitive texture analysis. ICPR 2008: 1-4 - 2007
- [c10]Esa Rahtu, Mikko Salo, Janne Heikkilä:
Nonlinear Functionals in the Construction of Multiscale Affine Invariants. SCIA 2007: 482-491 - 2006
- [j2]Esa Rahtu, Mikko Salo, Janne Heikkilä:
A New Convexity Measure Based on a Probabilistic Interpretation of Images. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1501-1512 (2006) - [c9]Esa Rahtu, Janne Heikkilä, Mikko Salo:
A New Affine Invariant Image Transform Based on Ridgelets. BMVC 2006: 1039-1048 - [c8]Esa Rahtu, Mikko Salo, Janne Heikkilä:
Multiscale Autoconvolution Histograms for Affine Invariant Pattern Recognition. BMVC 2006: 1059-1068 - [c7]Alexandra Teynor, Esa Rahtu, Lokesh Setia, Hans Burkhardt:
Properties of Patch Based Approaches for the Recognition of Visual Object Classes. DAGM-Symposium 2006: 284-293 - [c6]Esa Rahtu, Mikko Salo, Janne Heikkilä, Jan Flusser:
Generalized affine moment invariants for object recogntion. ICPR (2) 2006: 634-637 - 2005
- [j1]Esa Rahtu, Mikko Salo, Janne Heikkilä:
Affine Invariant Pattern Recognition Using Multiscale Autoconvolution. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 908-918 (2005) - [c5]Esa Rahtu, Mikko Salo, Janne Heikkilä:
A New Efficient Method for Producing Global Affine Invariants. ICIAP 2005: 407-414 - [c4]Juho Kannala, Esa Rahtu, Janne Heikkilä:
Affine registration with multi-scale autoconvolution. ICIP (3) 2005: 1064-1067 - [c3]Juho Kannala, Esa Rahtu, Janne Heikkilä, Mikko Salo:
A New Method for Affine Registration of Images and Point Sets. SCIA 2005: 224-234 - 2004
- [c2]Esa Rahtu, Janne Heikkilä:
Object Classification with Multi-Scale Autoconvolution. ICPR (3) 2004: 37-40 - [c1]Esa Rahtu, Mikko Salo, Janne Heikkilä:
Convexity Recognition Using Multi-Scale Autoconvolution. ICPR (1) 2004: 692-695
Coauthor Index
[j11] [i74] [c126] [c120] [c119] [i68] [i67] [i65] [c115] [c111] [c110] [c109] [c98] [i63] [i62] [i61] [i60] [i57] [i56] [c94] [c93] [c84] [i41] [i40] [c70] [c68] [c65] [i34] [i33] [i27] [i25] [i24] [c60] [c57] [i23] [i21] [c45] [c43] [i5] [i3] [c34] [c33] [j5] [c31] [c29] [p1] [j3] [c28] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j2] [c9] [c8] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
[c132] [c128] [i73] [i72] [i69] [c119] [i68] [i64] [c99] [c97] [c72] [i50] [i45] [c64] [c61] [i26] [c56] [c55] [i22] [i20] [i18] [c54] [c53] [c52] [c51] [c50] [c49] [d3] [d2] [d1] [i17] [i16] [i15] [c48] [c47] [i13] [i12] [i11] [i9] [i6] [c44] [c42] [c41] [i4] [c39] [c38] [c37] [c36] [c30] [i1] [c26] [c25] [c20] [c15] [c14] [c13] [c4] [c3]
Jiri Matas
aka: Jirí Matas
aka: Jirí Matas
Hamed Rezazadegan Tavakoli
aka: Hamed R. Tavakoli
aka: Hamed R. Tavakoli
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