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2020 – today
- 2024
- [j28]Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan:
Uncertainty as a Fairness Measure. J. Artif. Intell. Res. 81: 307-335 (2024) - [j27]Lakshadeep Naik
, Sinan Kalkan
Pre-Grasp Approaching on Mobile Robots: A Pre-Active Layered Approach. IEEE Robotics Autom. Lett. 9(3): 2606-2613 (2024) - [c68]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. CVPR 2024: 3239-3249 - [c67]Önder Tuzcuoglu, Aybora Köksal, Bugra Sofu, Sinan Kalkan, A. Aydin Alatan:
XoFTR: Cross-modal Feature Matching Transformer. CVPR Workshops 2024: 4275-4286 - [c66]Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan:
Bucketed Ranking-Based Losses for Efficient Training of Object Detectors. ECCV (59) 2024: 93-109 - [c65]Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection. IJCAI 2024: 7224-7232 - [i33]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. CoRR abs/2403.01795 (2024) - [i32]Önder Tuzcuoglu, Aybora Köksal, Bugra Sofu, Sinan Kalkan, A. Aydin Alatan:
XoFTR: Cross-modal Feature Matching Transformer. CoRR abs/2404.09692 (2024) - [i31]Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes:
Part-based Quantitative Analysis for Heatmaps. CoRR abs/2405.13264 (2024) - [i30]Lakshadeep Naik, Sinan Kalkan, Sune Lundø Sørensen, Mikkel Baun Kjærgaard, Norbert Krüger:
BaSeNet: A Learning-based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks. CoRR abs/2406.08653 (2024) - [i29]Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan:
Bucketed Ranking-based Losses for Efficient Training of Object Detectors. CoRR abs/2407.14204 (2024) - 2023
- [j26]Ismail Hakki Kocdemir
TMO-Det: Deep tone-mapping optimized with and for object detection. Pattern Recognit. Lett. 172: 230-236 (2023) - [c64]Nikhil Churamani, Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Towards Causal Replay for Knowledge Rehearsal in Continual Learning. AAAI Bridge Program 2023: 63-70 - [c63]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. AAAI 2023: 1087-1095 - [c62]Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes:
Towards Gender Fairness for Mental Health Prediction. IJCAI 2023: 5932-5940 - [c61]Eren Gökberk Halaçli
A Novel Graph Neural Network for Zone-Level Urban-Scale Building Energy Use Estimation. BuildSys 2023: 169-176 - [c60]Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Causal Structure Learning of Bias for Fair Affect Recognition. WACV (Workshops) 2023: 340-349 - [i28]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. CoRR abs/2301.01019 (2023) - [i27]Zeynep Sonat Baltaci, Kemal Oksuz, Selim Kuzucu
Class Uncertainty: A Measure to Mitigate Class Imbalance. CoRR abs/2311.14090 (2023) - [i26]Selim Kuzucu
Uncertainty-based Fairness Measures. CoRR abs/2312.11299 (2023) - [i25]Baris Can Çam, Kemal Öksüz, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation. CoRR abs/2312.17031 (2023) - 2022
- [j25]Ipek Gursel Dino
Vision-based estimation of the number of occupants using video cameras. Adv. Eng. Informatics 53: 101662 (2022) - [j24]Jonas Tjomsland, Sinan Kalkan, Hatice Gunes:
Mind Your Manners! A Dataset and a Continual Learning Approach for Assessing Social Appropriateness of Robot Actions. Frontiers Robotics AI 9: 669420 (2022) - [j23]Bedrettin Cetinkaya, Sinan Kalkan
Does depth estimation help object detection? Image Vis. Comput. 122: 104427 (2022) - [j22]Selver Ezgi Küçükbay, Adnan Yazici
Hand-crafted versus learned representations for audio event detection. Multim. Tools Appl. 81(21): 30911-30930 (2022) - [j21]Kemal Oksuz
One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9446-9463 (2022) - [c59]Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Counterfactual Fairness for Facial Expression Recognition. ECCV Workshops (5) 2022: 245-261 - [c58]Feyza Yavuz, Sinan Kalkan:
Segment Augmentation and Differentiable Ranking for Logo Retrieval. ICPR 2022: 1621-1627 - [c57]Özgür Aslan
AssembleRL: Learning to Assemble Furniture from Their Point Clouds. IROS 2022: 2748-2753 - [c56]Ismail Hakki Kocdemir, Ahmet Oguz Akyüz
Object Detection for Autonomous Driving: High-Dynamic Range vs. Low-Dynamic Range Images. MMSP 2022: 1-5 - [c55]Fatih Acun, Sinan Kalkan, Ebru Aydin Gol:
Traffic Prediction with Peak-Aware Temporal Graph Convolutional Networks. SIU 2022: 1-4 - [c54]Hazal Mogultay, Sinan Kalkan, Fatos T. Yarman-Vural:
An Analysis on Disentanglement in Machine Learning. SIU 2022: 1-4 - [i24]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
Does depth estimation help object detection? CoRR abs/2204.06512 (2022) - [i23]Feyza Yavuz, Sinan Kalkan:
Segment Augmentation and Differentiable Ranking for Logo Retrieval. CoRR abs/2209.02482 (2022) - [i22]Özgür Aslan, Burak Bolat, Batuhan Bal, Tugba Tümer, Erol Sahin, Sinan Kalkan:
AssembleRL: Learning to Assemble Furniture from Their Point Clouds. CoRR abs/2209.07268 (2022) - 2021
- [j20]Ülkü Arslan Aydin, Sinan Kalkan, Cengiz Acartürk:
Speech Driven Gaze in a Face-to-Face Interaction. Frontiers Neurorobotics 15: 598895 (2021) - [j19]Halil Ibrahim Ugurlu
Reinforcement Learning versus Conventional Control for Controlling a Planar Bi-rotor Platform with Tail Appendage. J. Intell. Robotic Syst. 102(4): 77 (2021) - [j18]Kemal Oksuz
Imbalance Problems in Object Detection: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3388-3415 (2021) - [j17]Jiaee Cheong, Sinan Kalkan
The Hitchhiker's Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques. IEEE Signal Process. Mag. 38(6): 39-49 (2021) - [c53]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. BMVC 2021: 228 - [c52]Nikhil Churamani, Sinan Kalkan, Hatice Gunes:
AULA-Caps: Lifecycle-Aware Capsule Networks for Spatio-Temporal Analysis of Facial Actions. FG 2021: 1-8 - [c51]Bahar Irfan
Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI). HRI (Companion) 2021: 724-727 - [c50]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. ICCV 2021: 2989-2998 - [c49]Alper Koz, Baris Demirkiliç, Yunus Bilge Kurt, Ahmet Oguz Akyüz
HDR Image Construction from Trifocal Multiexposure Images. MMSP 2021: 1-5 - [i21]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. CoRR abs/2107.11669 (2021) - [i20]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. CoRR abs/2110.09734 (2021) - 2020
- [c48]Fatih Can Kurnaz, Burak Hocaoglu, Mert Kaan Yilmaz, Idil Sülo, Sinan Kalkan:
ALET (Automated Labeling of Equipment and Tools): A Dataset for Tool Detection and Human Worker Safety Detection. ECCV Workshops (4) 2020: 371-386 - [c47]Tian Xu, Jennifer White, Sinan Kalkan, Hatice Gunes:
Investigating Bias and Fairness in Facial Expression Recognition. ECCV Workshops (6) 2020: 506-523 - [c46]M. Esat Kalfaoglu
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition. ECCV Workshops (5) 2020: 731-747 - [c45]Faisal Alamri
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. ICPR 2020: 9577-9584 - [c44]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. NeurIPS 2020 - [c43]Nikhil Churamani
Continual Learning for Affective Robotics: Why, What and How? RO-MAN 2020: 425-431 - [c42]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. WACV 2020: 883-892 - [i19]Tian Xu, Jennifer White, Sinan Kalkan, Hatice Gunes:
Investigating Bias and Fairness in Facial Expression Recognition. CoRR abs/2007.10075 (2020) - [i18]Jonas Tjomsland, Sinan Kalkan, Hatice Gunes:
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions. CoRR abs/2007.12506 (2020) - [i17]M. Esat Kalfaoglu, Sinan Kalkan, A. Aydin Alatan:
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition. CoRR abs/2008.01232 (2020) - [i16]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. CoRR abs/2009.13592 (2020) - [i15]Faisal Alamri, Sinan Kalkan, Nicolas Pugeault:
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. CoRR abs/2011.06978 (2020) - [i14]Nikhil Churamani
Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks. CoRR abs/2011.08819 (2020) - [i13]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. CoRR abs/2011.10772 (2020)
2010 – 2019
- 2019
- [j16]Ilker Bozcan, Sinan Kalkan
COSMO: Contextualized scene modeling with Boltzmann Machines. Robotics Auton. Syst. 113: 132-148 (2019) - [j15]Ali Abbasi
Deep 3D semantic scene extrapolation. Vis. Comput. 35(2): 271-279 (2019) - [c41]Hazan Anayurt, Sezai Artun Ozyegin
Searching for Ambiguous Objects in Videos using Relational Referring Expressions. BMVC 2019: 272 - [c40]Fethiye Irmak Dogan
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments. IROS 2019: 4992-4999 - [i12]Fethiye Irmak Dogan, Sinan Kalkan, Iolanda Leite:
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments. CoRR abs/1904.07165 (2019) - [i11]Hazan Anayurt, Sezai Artun Ozyegin, Ulfet Cetin, Utku Aktas, Sinan Kalkan:
Searching for Ambiguous Objects in Videos using Relational Referring Expressions. CoRR abs/1908.01189 (2019) - [i10]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. CoRR abs/1909.00169 (2019) - [i9]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. CoRR abs/1909.09777 (2019) - [i8]Fatih Can Kurnaz, Burak Hocaoglu
ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild. CoRR abs/1910.11713 (2019) - 2018
- [c39]Kemal Oksuz
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. ECCV (7) 2018: 521-537 - [c38]Ilker Bozcan, Yagmur Oymak, Idil Zeynep Alemdar, Sinan Kalkan
What is (Missing or Wrong) in the Scene? A Hybrid Deep Boltzmann Machine for Contextualized Scene Modeling. ICRA 2018: 1-6 - [c37]Fethiye Irmak Dogan
A Deep Incremental Boltzmann Machine for Modeling Context in Robots. ICRA 2018: 2411-2416 - [c36]Fethiye Irmak Dogan
CINet: A Learning Based Approach to Incremental Context Modeling in Robots. IROS 2018: 4641-4646 - [i7]Ilker Bozcan, Sinan Kalkan:
COSMO: Contextualized Scene Modeling with Boltzmann Machines. CoRR abs/1807.00511 (2018) - [i6]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. CoRR abs/1807.01696 (2018) - 2017
- [c35]Cemal Aker, Sinan Kalkan
Using deep networks for drone detection. AVSS 2017: 1-6 - [c34]Angelo Coluccia, Marian Ghenescu, Tomas Piatrik, Geert De Cubber
Drone-vs-Bird detection challenge at IEEE AVSS2017. AVSS 2017: 1-6 - [c33]Cengiz Acartürk
A Gaze-Centered Multimodal Approach to Human-Human Social Interaction. CYBCONF 2017: 1-6 - [c32]Cemal Aker, Osman Tursun
Analyzing deep features for trademark retrieval. SIU 2017: 1-4 - [i5]Osman Tursun, Cemal Aker, Sinan Kalkan:
A Large-scale Dataset and Benchmark for Similar Trademark Retrieval. CoRR abs/1701.05766 (2017) - [i4]Cemal Aker, Sinan Kalkan:
Using Deep Networks for Drone Detection. CoRR abs/1706.05726 (2017) - [i3]Fethiye Irmak Dogan, Sinan Kalkan:
A Deep Incremental Boltzmann Machine for Modeling Context in Robots. CoRR abs/1710.04975 (2017) - [i2]Fethiye Irmak Dogan, Ilker Bozcan, Sinan Kalkan:
A Learning Based Approach to Incremental Context Modeling in Robots. CoRR abs/1710.04981 (2017) - [i1]Ilker Bozcan, Yagmur Oymak, Idil Zeynep Alemdar, Sinan Kalkan:
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling. CoRR abs/1710.05664 (2017) - 2016
- [j14]Mustafa Yaman, Sinan Kalkan
Performance evaluation of similarity measures for dense multimodal stereovision. J. Electronic Imaging 25(3): 033013 (2016) - [j13]K. Berker Logoglu, Sinan Kalkan
CoSPAIR: Colored Histograms of Spatial Concentric Surflet-Pairs for 3D object recognition. Robotics Auton. Syst. 75: 558-570 (2016) - [j12]Hande Çelikkanat
Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation. IEEE Trans. Cogn. Dev. Syst. 8(1): 42-59 (2016) - [c31]Pedro B. Pascoal, Pedro F. Proença, Filipe Gaspar, Miguel Sales Dias, Alfredo Ferreira
Shape Retrieval of Low-Cost RGB-D Captures. 3DOR@Eurographics 2016 - 2015
- [j11]Mustafa Yaman, Sinan Kalkan
An iterative adaptive multi-modal stereo-vision method using mutual information. J. Vis. Commun. Image Represent. 26: 115-131 (2015) - [j10]Ilkay Atil, Sinan Kalkan:
Towards an Embodied Developing Vision System. Künstliche Intell. 29(1): 41-50 (2015) - [j9]Fatih Gökçe, Göktürk Üçoluk, Erol Sahin, Sinan Kalkan:
Vision-Based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles. Sensors 15(9): 23805-23846 (2015) - [j8]Hande Çelikkanat, Güner Orhan, Sinan Kalkan
A Probabilistic Concept Web on a Humanoid Robot. IEEE Trans. Auton. Ment. Dev. 7(2): 92-106 (2015) - [c30]Hande Çelikkanat, Erol Sahin
Integrating spatial concepts into a probabilistic concept web. ICAR 2015: 259-264 - [c29]Osman Tursun
METU dataset: A big dataset for benchmarking trademark retrieval. MVA 2015: 514-517 - [c28]Özge Öztimur Karadag, Mehmet Akif Akkus, Sinan Kalkan
An MRF framework for co-solving image segmentation and border ownership. SIU 2015: 839-842 - 2014
- [c27]Hande Çelikkanat, Güner Orhan, Nicolas Pugeault
Learning and using context on a humanoid robot using latent dirichlet allocation. ICDL-EPIROB 2014: 201-207 - [c26]Hande Çelikkanat, Sinan Kalkan
Using slowness principle for feature selection: Relevant feature analysis. SIU 2014: 1540-1543 - [c25]Fariba Yousefi, Erdal Sivri, Özgür Kaya, Selma Suloglu, Sinan Kalkan:
Analysis of Widely-used Descriptors for Finger-vein Recognition. VISAPP (1) 2014: 564-571 - 2013
- [j7]Onur Yürüten, Erol Sahin
The learning of adjectives and nouns from affordance and appearance features. Adapt. Behav. 21(6): 437-451 (2013) - [j6]Norbert Krüger
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1847-1871 (2013) - [c24]Kadir Firat Uyanik, Yigit Çaliskan, Asil Kaan Bozcuoglu, Onur Yürüten, Sinan Kalkan, Erol Sahin:
Learning Social Affordances and Using Them for Planning. CogSci 2013 - [c23]Güner Orhan, Sertaç Olgunsoylu, Erol Sahin
Co-learning nouns and adjectives. ICDL-EPIROB 2013: 1-6 - [c22]Erdal Sivri, Sinan Kalkan:
Global Binary Patterns: A Novel Shape Descriptor. MVA 2013: 169-172 - [c21]Mustafa Yaman, Sinan Kalkan:
Multimodal Stereo Vision Using Mutual Information with Adaptive Windowing. MVA 2013: 335-338 - [c20]Mehmet Akif Akkus, Merve Aydinlilar, Sinan Kalkan
Range analysis of junctions. SIU 2013: 1-4 - [c19]Mehmet Akif Akkus, Gaye Topuz, Bugra Ozkan, Sinan Kalkan
A comprehensive database for border ownership. SIU 2013: 1-4 - [c18]Sinan Kalkan
Relating affordances with verbs, nouns and adjectives. SIU 2013: 1-4 - [c17]Bugra Ozkan, Sinan Kalkan
Extraction of border ownership information by Conditional Random Field model. SIU 2013: 1-4 - [c16]Erdal Sivri, Sinan Kalkan
A novel shape descriptor: Intersection Consistency Histograms. SIU 2013: 1-4 - 2012
- [b2]Göktürk Üçoluk, Sinan Kalkan
Introduction to Programming Concepts with Case Studies in Python. Springer 2012, ISBN 978-3-7091-1342-4, pp. I-X, 1-221 - [j5]Jarno Ralli, Javier Díaz
Disparity disambiguation by fusion of signal- and symbolic-level information. Mach. Vis. Appl. 23(1): 65-77 (2012) - [c15]Filomena Anelli
Human and robotics hands grasping danger. IJCNN 2012: 1-8 - [c14]Onur Yürüten, Kadir Firat Uyanik
Learning Adjectives and Nouns from Affordances on the iCub Humanoid Robot. SAB 2012: 330-340 - 2010
- [j4]Emre Baseski, Nicolas Pugeault
Using multi-modal 3D contours and their relations for vision and robotics. J. Vis. Commun. Image Represent. 21(8): 850-864 (2010) - [c13]Ilkay Atil, Nilgün Dag, Sinan Kalkan, Erol Sahin:
Affordances and Emergence of Concepts. EpiRob 2010 - [c12]Nilgün Dag, Ilkay Atil, Sinan Kalkan
Learning Affordances for Categorizing Objects and Their Properties. ICPR 2010: 3089-3092
2000 – 2009
- 2009
- [j3]Dirk Kraft, Nicolas Pugeault
Erratum: "Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes". Int. J. Humanoid Robotics 6(3): 561 (2009) - [j2]Michael Felsberg
Continuous dimensionality characterization of image structures. Image Vis. Comput. 27(6): 628-636 (2009) - [c11]Emre Baseski, Leon Bodenhagen
Using 3D contours and their relations for cognitive vision and robotics. ISCIS 2009: 409-414 - [c10]Dibyendusekhar Goswami, Sinan Kalkan
Bayesian Classification of Image Structures. SCIA 2009: 676-685 - 2008
- [b1]Sinan Kalkan:
Multi-modal statistics of local image structures and its applications for depth prediction. University of Göttingen, 2008 - [j1]Dirk Kraft
Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes. Int. J. Humanoid Robotics 5(2): 247-265 (2008) - [c9]Lars Baunegaard With Jensen, Emre Baseski, Sinan Kalkan
Semantic Reasoning for Scene Interpretation. ICVW 2008: 121-134 - [c8]Nicolas Pugeault, Sinan Kalkan, Florentin Wörgötter, Emre Baseski, Norbert Krüger:
Relations Between Reconstructed 3D Entities. VISAPP (2) 2008: 186-193 - [c7]Sinan Kalkan, Florentin Wörgötter, Yan Shi, Volker Krüger, Norbert Krüger:
A Signal-Symbol Loop Mechanism for Enhanced Edge Extraction. VISAPP (2) 2008: 214-221 - [c6]Sinan Kalkan, Florentin Wörgötter, Norbert Krüger:
Depth Prediction at Homogeneous Image Structures. VISAPP (2) 2008: 520-527 - 2007
- [c5]Emre Baseski, Nicolas Pugeault
A Scene Representation Based on Multi-Modal 2D and 3D Features. ICCV 2007: 1-7 - [c4]Florian Pilz, Yan Shi, Daniel Grest, Nicolas Pugeault
Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation. ISVC (1) 2007: 692-701 - [c3]Sinan Kalkan, Florentin Wörgötter, Norbert Krüger:
Statistical analysis of second-order relations of 3D structures. VISAPP (2) 2007: 13-20 - [c2]Sinan Kalkan, Yan Shi, Florian Pilz, Norbert Krüger:
Improving junction detection by semantic interpretation. VISAPP (1) 2007: 264-271 - 2006
- [c1]Sinan Kalkan
Statistical Analysis of Local 3D Structure in 2D Images. CVPR (1) 2006: 1114-1121
Coauthor Index
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