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Slobodan Ilic
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
- [j29]Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic:
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3796-3812 (2024) - [j28]Marko Pavlovic, Slobodan Ilic, Nebojsa M. Ralevic, Nenad Antonic, Dylan Warren Raffa, Michele Bandecchi, Dubravko Culibrk:
A Deep Learning Approach to Estimate Soil Organic Carbon from Remote Sensing. Remote. Sens. 16(4): 655 (2024) - [j27]Jovan M. Tadic, Velibor Ilic, Slobodan Ilic, Marko Pavlovic, Vojin Tadic:
Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values. Remote. Sens. 16(10): 1707 (2024) - [c109]Shishir Reddy Vutukur, Heike Brock, Benjamin Busam, Tolga Birdal, Andreas Hutter, Slobodan Ilic:
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering. 3DV 2024: 1146-1155 - [c108]Junwen Huang, Hao Yu, Kuan-Ting Yu, Nassir Navab, Slobodan Ilic, Benjamin Busam:
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images. CVPR 2024: 10095-10105 - [c107]Alexander Baumann, Leonardo Ayala, Alexander Studier-Fischer, Jan Sellner, Berkin Özdemir, Karl-Friedrich Kowalewski, Slobodan Ilic, Silvia Seidlitz, Lena Maier-Hein:
Deep Intra-operative Illumination Calibration of Hyperspectral Cameras. MICCAI (6) 2024: 120-131 - [i42]Junwen Huang, Hao Yu, Kuan-Ting Yu, Nassir Navab, Slobodan Ilic, Benjamin Busam:
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images. CoRR abs/2403.01517 (2024) - [i41]Shishir Reddy Vutukur, Heike Brock, Benjamin Busam, Tolga Birdal, Andreas Hutter, Slobodan Ilic:
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering. CoRR abs/2406.13796 (2024) - [i40]Alexander Baumann, Leonardo Ayala, Alexander Studier-Fischer, Jan Sellner, Berkin Özdemir, Karl-Friedrich Kowalewski, Slobodan Ilic, Silvia Seidlitz, Lena Maier-Hein:
Deep intra-operative illumination calibration of hyperspectral cameras. CoRR abs/2409.07094 (2024) - 2023
- [j26]Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu:
GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9806-9821 (2023) - [j25]Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Nassir Navab, Shadi Albarqouni:
Digital Staining of White Blood Cells With Confidence Estimation. IEEE Trans. Medical Imaging 42(12): 3895-3906 (2023) - [c106]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam:
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CVPR 2023: 780-791 - [c105]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CVPR 2023: 5384-5393 - [c104]Fu Li, Shishir Reddy Vutukur, Hao Yu, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic:
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation. ICCV (Workshops) 2023: 2115-2125 - [i39]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dong Sheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CoRR abs/2303.08231 (2023) - [i38]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam:
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CoRR abs/2303.14840 (2023) - [i37]Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu:
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer. CoRR abs/2308.03768 (2023) - 2022
- [j24]Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal:
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. Int. J. Comput. Vis. 130(7): 1627-1654 (2022) - [j23]Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7417-7435 (2022) - [j22]Fu Li, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic:
WS-OPE: Weakly Supervised 6-D Object Pose Regression Using Relative Multi-Camera Pose Constraints. IEEE Robotics Autom. Lett. 7(2): 3703-3710 (2022) - [j21]Fu Li, Ivan Shugurov, Benjamin Busam, Minglong Li, Shaowu Yang, Slobodan Ilic:
PolarMesh: A Star-Convex 3D Shape Approximation for Object Pose Estimation. IEEE Robotics Autom. Lett. 7(2): 4416-4423 (2022) - [j20]Marko Pavlovic, Slobodan Ilic, Nenad Antonic, Dubravko Culibrk:
Monitoring the Impact of Large Transport Infrastructure on Land Use and Environment Using Deep Learning and Satellite Imagery. Remote. Sens. 14(10): 2494 (2022) - [c103]Ivan Shugurov, Fu Li, Benjamin Busam, Slobodan Ilic:
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework. CVPR 2022: 6825-6834 - [c102]Shishir Reddy Vutukur, Ivan Shugurov, Benjamin Busam, Andreas Hutter, Slobodan Ilic:
WeLSA: Learning to Predict 6D Pose from Weakly Labeled Data Using Shape Alignment. ECCV (8) 2022: 645-661 - [c101]Zoran Jankovic, Slobodan Ilic, Boban Vesin, Aleksandar Selakov:
Special Day Regression Model for Short-Term Load Forecasting. ISGT-Europe 2022: 1-5 - [c100]Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni:
What Can We Learn About a Generated Image Corrupting Its Latent Representation? MICCAI (6) 2022: 505-515 - [i36]Fu Li, Hao Yu, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic:
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation. CoRR abs/2203.04802 (2022) - [i35]Ivan Shugurov, Fu Li, Benjamin Busam, Slobodan Ilic:
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework. CoRR abs/2203.15533 (2022) - [i34]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Benjamin Busam:
Is my Depth Ground-Truth Good Enough? HAMMER - Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression. CoRR abs/2205.04565 (2022) - [i33]Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. CoRR abs/2207.02805 (2022) - [i32]Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic:
Multi-View Object Pose Refinement With Differentiable Renderer. CoRR abs/2207.02811 (2022) - [i31]Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic:
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. CoRR abs/2209.13252 (2022) - [i30]Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni:
What can we learn about a generated image corrupting its latent representation? CoRR abs/2210.06257 (2022) - 2021
- [j19]Miroslava Slavcheva, Maximilian Baust, Slobodan Ilic:
Variational Level Set Evolution for Non-Rigid 3D Reconstruction From a Single Depth Camera. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2838-2850 (2021) - [j18]Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic:
Multi-View Object Pose Refinement With Differentiable Renderer. IEEE Robotics Autom. Lett. 6(2): 2579-2586 (2021) - [j17]Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Frank Forster, Nassir Navab, Shadi Albarqouni:
Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes. IEEE Trans. Medical Imaging 40(10): 2897-2910 (2021) - [c99]Yehya Abouelnaga, Mai Bui, Slobodan Ilic:
DistillPose: Lightweight Camera Localization Using Auxiliary Learning. IROS 2021: 7919-7924 - [c98]Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, Slobodan Ilic:
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration. NeurIPS 2021: 23872-23884 - [i29]Yehya Abouelnaga, Mai Bui, Slobodan Ilic:
DistillPose: Lightweight Camera Localization Using Auxiliary Learning. CoRR abs/2108.03819 (2021) - [i28]Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, Slobodan Ilic:
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration. CoRR abs/2110.14076 (2021) - 2020
- [j16]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm:
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1333-1347 (2020) - [c97]Giorgia Pitteri, Aurélie Bugeau, Slobodan Ilic, Vincent Lepetit:
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings. ACCV (1) 2020: 38-54 - [c96]Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab:
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. ECCV (18) 2020: 139-157 - [c95]Roman Kaskman, Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames. ECCV Workshops (2) 2020: 612-630 - [i27]Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab:
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. CoRR abs/2004.04807 (2020) - [i26]Giorgia Pitteri, Aurélie Bugeau, Slobodan Ilic, Vincent Lepetit:
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings. CoRR abs/2010.04075 (2020) - [i25]Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal:
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. CoRR abs/2012.11002 (2020)
2010 – 2019
- 2019
- [c94]Giorgia Pitteri, Michaël Ramamonjisoa, Slobodan Ilic, Vincent Lepetit:
On Object Symmetries and 6D Pose Estimation from Images. 3DV 2019: 614-622 - [c93]Haowen Deng, Tolga Birdal, Slobodan Ilic:
3D Local Features for Direct Pairwise Registration. CVPR 2019: 3244-3253 - [c92]Sergey Zakharov, Wadim Kehl, Slobodan Ilic:
DeceptionNet: Network-Driven Domain Randomization. ICCV 2019: 532-541 - [c91]Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
DPOD: 6D Pose Object Detector and Refiner. ICCV 2019: 1941-1950 - [c90]Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. ICCV Workshops 2019: 2767-2776 - [c89]Giorgia Pitteri, Slobodan Ilic, Vincent Lepetit:
CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining. ICCV Workshops 2019: 2807-2815 - [c88]Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni:
Adversarial Networks for Camera Pose Regression and Refinement. ICCV Workshops 2019: 3778-3787 - [c87]Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. IROS 2019: 2579-2586 - [i24]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm:
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. CoRR abs/1901.01255 (2019) - [i23]Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
DPOD: Dense 6D Pose Object Detector in RGB images. CoRR abs/1902.11020 (2019) - [i22]Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni:
Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement. CoRR abs/1903.06646 (2019) - [i21]Sergey Zakharov, Wadim Kehl, Slobodan Ilic:
DeceptionNet: Network-Driven Domain Randomization. CoRR abs/1904.02750 (2019) - [i20]Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. CoRR abs/1904.03167 (2019) - [i19]Haowen Deng, Tolga Birdal, Slobodan Ilic:
3D Local Features for Direct Pairwise Registration. CoRR abs/1904.04281 (2019) - [i18]Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic:
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin. CoRR abs/1904.04854 (2019) - [i17]Giorgia Pitteri, Michaël Ramamonjisoa, Slobodan Ilic, Vincent Lepetit:
On Object Symmetries and 6D Pose Estimation from Images. CoRR abs/1908.07640 (2019) - [i16]Giorgia Pitteri, Slobodan Ilic, Vincent Lepetit:
CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining. CoRR abs/1908.11457 (2019) - [i15]Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab:
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. CoRR abs/1911.10249 (2019) - 2018
- [j15]Miroslava Slavcheva, Wadim Kehl, Nassir Navab, Slobodan Ilic:
SDF-2-SDF Registration for Real-Time 3D Reconstruction from RGB-D Data. Int. J. Comput. Vis. 126(6): 615-636 (2018) - [j14]Bertram Drost, Slobodan Ilic:
Almost constant-time 3D nearest-neighbor lookup using implicit octrees. Mach. Vis. Appl. 29(2): 299-311 (2018) - [j13]Chun-Hao P. Huang, Benjamin Allain, Edmond Boyer, Jean-Sébastien Franco, Federico Tombari, Nassir Navab, Slobodan Ilic:
Tracking-by-Detection of 3D Human Shapes: From Surfaces to Volumes. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1994-2008 (2018) - [c86]Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only. 3DV 2018: 1-11 - [c85]Carmel Kozlov, Miroslava Slavcheva, Slobodan Ilic:
Patch-Based Non-rigid 3D Reconstruction from a Single Depth Stream. 3DV 2018: 42-51 - [c84]Adrian Haarbach, Tolga Birdal, Slobodan Ilic:
Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation. 3DV 2018: 381-389 - [c83]Mai Bui, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
Scene Coordinate and Correspondence Learning for Image-Based Localization. BMVC 2018: 3 - [c82]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CVPR 2018: 195-205 - [c81]Miroslava Slavcheva, Maximilian Baust, Slobodan Ilic:
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion. CVPR 2018: 2646-2655 - [c80]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm:
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CVPR 2018: 3530-3540 - [c79]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. ECCV (5) 2018: 620-638 - [c78]Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. ICRA 2018: 1-7 - [c77]Tolga Birdal, Umut Simsekli, Mustafa Onur Eken, Slobodan Ilic:
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. NeurIPS 2018: 306-317 - [i14]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CoRR abs/1802.02669 (2018) - [i13]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm:
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CoRR abs/1803.07191 (2018) - [i12]Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only. CoRR abs/1804.09113 (2018) - [i11]Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. CoRR abs/1805.06400 (2018) - [i10]Mai Bui, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
Scene Coordinate and Correspondence Learning for Image-Based Localization. CoRR abs/1805.08443 (2018) - [i9]Tolga Birdal, Umut Simsekli, M. Onur Eken, Slobodan Ilic:
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. CoRR abs/1805.12279 (2018) - [i8]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. CoRR abs/1808.10322 (2018) - [i7]Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. CoRR abs/1810.04158 (2018) - 2017
- [c76]Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab:
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. CVPR 2017: 465-473 - [c75]Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilic:
KillingFusion: Non-rigid 3D Reconstruction without Correspondences. CVPR 2017: 5474-5483 - [c74]Tolga Birdal, Slobodan Ilic:
CAD Priors for Accurate and Flexible Instance Reconstruction. ICCV 2017: 133-142 - [c73]Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab:
SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again. ICCV 2017: 1530-1538 - [c72]Miroslava Slavcheva, Maximilian Baust, Slobodan Ilic:
Towards Implicit Correspondence in Signed Distance Field Evolution. ICCV Workshops 2017: 833-841 - [c71]Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic:
3D object instance recognition and pose estimation using triplet loss with dynamic margin. IROS 2017: 552-559 - [c70]Tolga Birdal, Slobodan Ilic:
A point sampling algorithm for 3D matching of irregular geometries. IROS 2017: 6871-6878 - [c69]Mai Bui, Shadi Albarqouni, Michael Schrapp, Nassir Navab, Slobodan Ilic:
X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices. WACV 2017: 1036-1044 - [i6]Tolga Birdal, Slobodan Ilic:
CAD Priors for Accurate and Flexible Instance Reconstruction. CoRR abs/1705.03111 (2017) - [i5]Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab:
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again. CoRR abs/1711.10006 (2017) - 2016
- [j12]Vladimir Haltakov, Christian Unger, Slobodan Ilic:
Geodesic pixel neighborhoods for 2D and 3D scene understanding. Comput. Vis. Image Underst. 148: 164-180 (2016) - [j11]Chun-Hao Huang, Cedric Cagniart, Edmond Boyer, Slobodan Ilic:
A Bayesian Approach to Multi-view 4D Modeling. Int. J. Comput. Vis. 116(2): 115-135 (2016) - [j10]Vasileios Belagiannis, Xinchao Wang, Horesh Ben Shitrit, Kiyoshi Hashimoto, Ralf Stauder, Yoshimitsu Aoki, Michael Kranzfelder, Armin Schneider, Pascal Fua, Slobodan Ilic, Hubertus Feussner, Nassir Navab:
Parsing human skeletons in an operating room. Mach. Vis. Appl. 27(7): 1035-1046 (2016) - [j9]Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, Slobodan Ilic:
3D Pictorial Structures Revisited: Multiple Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 1929-1942 (2016) - [c68]Tolga Birdal, Ievgeniia Dobryden, Slobodan Ilic:
X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment. 3DV 2016: 556-564 - [c67]Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic, Nassir Navab:
An Octree-Based Approach towards Efficient Variational Range Data Fusion. BMVC 2016 - [c66]Miroslava Slavcheva, Slobodan Ilic:
SDF-TAR: Parallel Tracking and Refinement in RGB-D Data using Volumetric Registration. BMVC 2016 - [c65]Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh, Masaki Hayashi, Yoshimitsu Aoki, Slobodan Ilic:
Dominant Codewords Selection with Topic Model for Action Recognition. CVPR Workshops 2016: 770-777 - [c64]Chun-Hao Huang, Benjamin Allain, Jean-Sébastien Franco, Nassir Navab, Slobodan Ilic, Edmond Boyer:
Volumetric 3D Tracking by Detection. CVPR 2016: 3862-3870 - [c63]Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, Nassir Navab:
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation. ECCV (3) 2016: 205-220 - [c62]Miroslava Slavcheva, Wadim Kehl, Nassir Navab, Slobodan Ilic:
SDF-2-SDF: Highly Accurate 3D Object Reconstruction. ECCV (1) 2016: 680-696 - [c61]Tolga Birdal, Emrah Bala, Tolga Eren, Slobodan Ilic:
Online inspection of 3D parts via a locally overlapping camera network. WACV 2016: 1-10 - [i4]Hirokatsu Kataoka, Masaki Hayashi, Kenji Iwata, Yutaka Satoh, Yoshimitsu Aoki, Slobodan Ilic:
Dominant Codewords Selection with Topic Model for Action Recognition. CoRR abs/1605.00324 (2016) - [i3]Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, Nassir Navab:
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation. CoRR abs/1607.06038 (2016) - [i2]Wadim Kehl, Federico Tombari, Nassir Navab, Slobodan Ilic, Vincent Lepetit:
Hashmod: A Hashing Method for Scalable 3D Object Detection. CoRR abs/1607.06062 (2016) - [i1]Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic, Nassir Navab:
An Octree-Based Approach towards Efficient Variational Range Data Fusion. CoRR abs/1608.07411 (2016) - 2015
- [b1]Slobodan Ilic:
Spatio-Temporal Modeling of Rigid and Deformable Surfaces from Videos. Technical University of Munich, Germany, 2015 - [j8]Stefan Holzer, Slobodan Ilic, David Joseph Tan, Marc Pollefeys, Nassir Navab:
Efficient Learning of Linear Predictors for Template Tracking. Int. J. Comput. Vis. 111(1): 12-28 (2015) - [c60]Bertram Drost, Slobodan Ilic:
Local Hough Transform for 3D Primitive Detection. 3DV 2015: 398-406 - [c59]Tolga Birdal, Slobodan Ilic:
Point Pair Features Based Object Detection and Pose Estimation Revisited. 3DV 2015: 527-535 - [c58]Wadim Kehl, Federico Tombari, Nassir Navab, Slobodan Ilic, Vincent Lepetit:
Hashmod: A Hashing Method for Scalable 3D Object Detection. BMVC 2015: 36.1-36.12 - [c57]Fausto Milletari, Wadim Kehl, Federico Tombari, Slobodan Ilic, Seyed-Ahmad Ahmadi, Nassir Navab:
Universal Hough dictionaries for object tracking. BMVC 2015: 122.1-122.11 - [c56]Chun-Hao Huang, Edmond Boyer, Bibiana do Canto Angonese, Nassir Navab, Slobodan Ilic:
Toward user-specific tracking by detection of human shapes in multi-cameras. CVPR 2015: 4027-4035 - [c55]Bertram Drost, Slobodan Ilic:
Graph-Based Deformable 3D Object Matching. GCPR 2015: 222-233 - [c54]Vladimir Haltakov, Jakob Mayr, Christian Unger, Slobodan Ilic:
Semantic Segmentation Based Traffic Light Detection at Day and at Night. GCPR 2015: 446-457 - [c53]David Joseph Tan, Federico Tombari, Slobodan Ilic, Nassir Navab:
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online. ICCV 2015: 693-701 - [c52]Mehmet Yigitsoy, Vasileios Belagiannis, Aleksander Djurka, Amin Katouzian, Slobodan Ilic, Franjo Pernus, Abouzar Eslami, Nassir Navab:
Random ferns for multiple target tracking in microscopic retina image sequences. ISBI 2015: 209-212 - 2014
- [j7]Christian Unger, Eric Wahl, Slobodan Ilic:
Parking assistance using dense motion-stereo - Real-time parking slot detection, collision warning and augmented parking. Mach. Vis. Appl. 25(3): 561-581 (2014) - [j6]Byung-Kuk Seo, Hanhoon Park, Jong-Il Park, Stefan Hinterstoisser, Slobodan Ilic:
Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds. IEEE Trans. Vis. Comput. Graph. 20(1): 99-110 (2014) - [c51]Hirokatsu Kataoka, Kiyoshi Hashimoto, Kenji Iwata, Yutaka Satoh, Nassir Navab, Slobodan Ilic, Yoshimitsu Aoki:
Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained Activity Recognition. ACCV (5) 2014: 336-349 - [c50]Joé Lallemand, Magdalena Szczot, Slobodan Ilic:
Human Pose Estimation in Stereo Images. AMDO 2014: 10-19 - [c49]Vasileios Belagiannis, Christian Amann, Nassir Navab, Slobodan Ilic:
Holistic Human Pose Estimation with Regression Forests. AMDO 2014: 20-30 - [c48]Vladimir Haltakov, Christian Unger, Slobodan Ilic:
Geodesic pixel neighborhoods for multi-class image segmentation. BMVC 2014 - [c47]Wadim Kehl, Nassir Navab, Slobodan Ilic:
Coloured signed distance fields for full 3D object reconstruction. BMVC 2014 - [c46]David Joseph Tan, Stefan Holzer, Nassir Navab, Slobodan Ilic:
Deformable Template Tracking in 1ms. BMVC 2014 - [c45]Christian Unger, Slobodan Ilic:
A Stochastic Cost Function for Stereo Vision. BMVC 2014 - [c44]David Joseph Tan, Slobodan Ilic:
Multi-forest Tracker: A Chameleon in Tracking. CVPR 2014: 1202-1209 - [c43]Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, Slobodan Ilic:
3D Pictorial Structures for Multiple Human Pose Estimation. CVPR 2014: 1669-1676 - [c42]Chun-Hao Huang, Edmond Boyer, Nassir Navab, Slobodan Ilic:
Human Shape and Pose Tracking Using Keyframes. CVPR 2014: 3446-3453 - [c41]Joé Lallemand, Alexandra Ronge, Magdalena Szczot, Slobodan Ilic:
Pedestrian Orientation Estimation. GCPR 2014: 476-487 - [c40]Vasileios Belagiannis, Xinchao Wang, Bernt Schiele, Pascal Fua, Slobodan Ilic, Nassir Navab:
Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures. ECCV Workshops (1) 2014: 742-754 - 2013
- [j5]Stefan Holzer, Slobodan Ilic, Nassir Navab:
Multilayer Adaptive Linear Predictors for Real-Time Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 105-117 (2013) - [c39]Christian Rupprecht, Olivier Pauly, Christian Theobalt, Slobodan Ilic:
3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation. 3DV 2013: 255-262 - [c38]Joé Lallemand, Olivier Pauly, Loren Arthur Schwarz, David Joseph Tan, Slobodan Ilic:
Multi-task Forest for Human Pose Estimation in Depth Images. 3DV 2013: 271-278 - [c37]Chun-Hao Huang, Edmond Boyer, Slobodan Ilic:
Robust Human Body Shape and Pose Tracking. 3DV 2013: 287-294 - [c36]Bertram Drost, Slobodan Ilic:
A Hierarchical Voxel Hash for Fast 3D Nearest Neighbor Lookup. GCPR 2013: 302-312 - [c35]Vladimir Haltakov, Christian Unger, Slobodan Ilic:
Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications. GCPR 2013: 323-332 - [c34]Mario Pavlic, Gerhard Rigoll, Slobodan Ilic:
Classification of images in fog and fog-free scenes for use in vehicles. Intelligent Vehicles Symposium 2013: 481-486 - 2012
- [j4]Stefan Hinterstoisser, Cedric Cagniart, Slobodan Ilic, Peter F. Sturm, Nassir Navab, Pascal Fua, Vincent Lepetit:
Gradient Response Maps for Real-Time Detection of Textureless Objects. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 876-888 (2012) - [c33]Bertram Drost, Slobodan Ilic:
3D Object Detection and Localization Using Multimodal Point Pair Features. 3DIMPVT 2012: 9-16 - [c32]Stefan Holzer, Slobodan Ilic, David Joseph Tan, Nassir Navab:
Efficient Learning of Linear Predictors Using Dimensionality Reduction. ACCV (3) 2012: 15-28 - [c31]Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary R. Bradski, Kurt Konolige, Nassir Navab:
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes. ACCV (1) 2012: 548-562 - [c30]Christian Unger, Eric Wahl, Peter F. Sturm, Slobodan Ilic:
Stereo Fusion from Multiple Viewpoints. DAGM/OAGM Symposium 2012: 468-477 - [c29]Stefan Holzer, Marc Pollefeys, Slobodan Ilic, David Joseph Tan, Nassir Navab:
Online Learning of Linear Predictors for Real-Time Tracking. ECCV (1) 2012: 470-483 - [c28]Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Kurt Konolige, Gary R. Bradski, Nassir Navab:
Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes. ECCV Workshops (3) 2012: 593-596 - [c27]Vasileios Belagiannis, Falk Schubert, Nassir Navab, Slobodan Ilic:
Segmentation Based Particle Filtering for Real-Time 2D Object Tracking. ECCV (4) 2012: 842-855 - [c26]Vladimir Haltakov, Heidrun Belzner, Slobodan Ilic:
Scene understanding from a moving camera for object detection and free space estimation. Intelligent Vehicles Symposium 2012: 105-110 - [c25]Mario Pavlic, Heidrun Belzner, Gerhard Rigoll, Slobodan Ilic:
Image based fog detection in vehicles. Intelligent Vehicles Symposium 2012: 1132-1137 - 2011
- [c24]Christian Unger, Eric Wahl, Slobodan Ilic:
Efficient Stereo and Optical Flow with Robust Similarity Measures. DAGM-Symposium 2011: 246-255 - [c23]Sebastian Lieberknecht, Selim Benhimane, Slobodan Ilic:
Simultaneous Reconstruction and Tracking of Non-planar Templates. DAGM-Symposium 2011: 396-405 - [c22]Stefan Hinterstoisser, Stefan Holzer, Cedric Cagniart, Slobodan Ilic, Kurt Konolige, Nassir Navab, Vincent Lepetit:
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes. ICCV 2011: 858-865 - [c21]Sebastian Lieberknecht, Andrea Huber, Slobodan Ilic, Selim Benhimane:
RGB-D camera-based parallel tracking and meshing. ISMAR 2011: 147-155 - [c20]Christian Unger, Eric Wahl, Slobodan Ilic:
Efficient stereo matching for moving cameras and decalibrated rigs. Intelligent Vehicles Symposium 2011: 417-422 - 2010
- [c19]Bertram Drost, Markus Ulrich, Nassir Navab, Slobodan Ilic:
Model globally, match locally: Efficient and robust 3D object recognition. CVPR 2010: 998-1005 - [c18]Cedric Cagniart, Edmond Boyer, Slobodan Ilic:
Free-form mesh tracking: A patch-based approach. CVPR 2010: 1339-1346 - [c17]Stefan Holzer, Slobodan Ilic, Nassir Navab:
Adaptive linear predictors for real-time tracking. CVPR 2010: 1807-1814 - [c16]Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Pascal Fua, Nassir Navab:
Dominant orientation templates for real-time detection of texture-less objects. CVPR 2010: 2257-2264 - [c15]Alexander Ladikos, Edmond Boyer, Nassir Navab, Slobodan Ilic:
Region Graphs for Organizing Image Collections. ECCV Workshops (1) 2010: 239-252 - [c14]Cedric Cagniart, Edmond Boyer, Slobodan Ilic:
Probabilistic Deformable Surface Tracking from Multiple Videos. ECCV (4) 2010: 326-339
2000 – 2009
- 2009
- [c13]Stefan Holzer, Stefan Hinterstoisser, Slobodan Ilic, Nassir Navab:
Distance transform templates for object detection and pose estimation. CVPR 2009: 1177-1184 - [c12]Cedric Cagniart, Edmond Boyer, Slobodan Ilic:
Iterative mesh deformation for dense surface tracking. ICCV Workshops 2009: 1465-1472 - [c11]Alexander Ladikos, Slobodan Ilic, Nassir Navab:
Spectral camera clustering. ICCV Workshops 2009: 2080-2086 - 2008
- [c10]Slobodan Ilic:
Object labeling for recognition using vocabulary trees. ICPR 2008: 1-4 - 2007
- [j3]Slobodan Ilic, Mathieu Salzmann, Pascal Fua:
Implicit Meshes for Effective Silhouette Handling. Int. J. Comput. Vis. 72(2): 159-178 (2007) - [j2]Mathieu Salzmann, Julien Pilet, Slobodan Ilic, Pascal Fua:
Surface Deformation Models for Nonrigid 3D Shape Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1481-1487 (2007) - [c9]Slobodan Ilic:
Comparing Timoshenko Beam to Energy Beam for Fitting Noisy Data. ACCV (1) 2007: 75-84 - [c8]Slobodan Ilic, Pascal Fua:
Non-Linear Beam Model for Tracking Large Deformations. ICCV 2007: 1-8 - 2006
- [j1]Slobodan Ilic, Pascal Fua:
Implicit Meshes for Surface Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 328-333 (2006) - 2005
- [c7]Mathieu Salzmann, Slobodan Ilic, Pascal Fua:
Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking. BMVC 2005 - [c6]Slobodan Ilic, Mathieu Salzmann, Pascal Fua:
Implicit Surfaces Make for Better Silhouettes. CVPR (1) 2005: 1135-1141 - 2004
- [c5]Miodrag Dimitrijevic, Slobodan Ilic, Pascal Fua:
Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences. CVPR (2) 2004: 1034-1041 - [c4]Slobodan Ilic, Jayantha Katupitiya, Michal J. Tordon:
In-vehicle data logging system for fatigue analysis of drive shaft. ROSE 2004: 30-34 - 2003
- [c3]Slobodan Ilic, Pascal Fua:
Implicit Meshes for Modeling and Reconstruction. CVPR (2) 2003: 483-492 - [c2]Slobodan Ilic, Pascal Fua:
Generic Deformable Implicit Mesh Models for Automated Reconstruction. HLK 2003: 29-38 - 2002
- [c1]Slobodan Ilic, Pascal Fua:
Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data. ECCV (2) 2002: 704-717
Coauthor Index
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