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2020 – today
- 2024
- [c90]Liqiang He, Sinisa Todorovic:
Attention Decomposition for Cross-Domain Semantic Segmentation. ECCV (14) 2024: 414-431 - [c89]Danyang Han, Nicolas Aziere, Tieqiao Wang, Ori Ossmy, Ajay Krishna, Hanzhi Wang, Ruiting Shen, Sinisa Todorovic, Karen E. Adolph:
Infants' Developing Environment: Integration of Computer Vision and Human Annotation to Quantify where Infants Go, what They Touch, and what They See. ICDL 2024: 1-8 - [c88]Christina M. Hospodar, Tieqiao Wang, Yasmine Elasmar, Sinisa Todorovic, Karen E. Adolph:
Infant Gait Modifications: Integration of Computer Vision with Human Annotation Provides Accurate Step Classification and Location as Infants Navigate Varied Terrain. ICDL 2024: 1-6 - [c87]Ajay Krishna, Brianna E. Kaplan, Juliette Pope, Sinisa Todorovic, Karen E. Adolph, Ori Ossmy:
A Computer-Vision Approach for Testing Developmental Changes in Object Manipulation. ICDL 2024: 1-6 - 2023
- [c86]Nicolas Aziere, Sinisa Todorovic:
Markov Game Video Augmentation for Action Segmentation. ICCV 2023: 13459-13468 - [c85]Liqiang He, Wei Wang, Albert Chen, Min Sun, Cheng-Hao Kuo, Sinisa Todorovic:
Bidirectional Alignment for Domain Adaptive Detection with Transformers. ICCV 2023: 18729-18739 - 2022
- [j25]Liqiang He, Lu Xia, Jiajia Luo, Ke Zhang, Yuyin Sun, Nan Qiao, Cheng-Hao Kuo, Sinisa Todorovic:
A polar-edge context-aware (PECA) network for mirror segmentation. Image Vis. Comput. 121: 104402 (2022) - [j24]Nicolas Aziere, Sinisa Todorovic:
Multistage temporal convolution transformer for action segmentation. Image Vis. Comput. 128: 104567 (2022) - [c84]Khoi Nguyen, Sinisa Todorovic:
iFS-RCNN: An Incremental Few-shot Instance Segmenter. CVPR 2022: 7000-7009 - [c83]Liqiang He, Sinisa Todorovic:
DESTR: Object Detection with Split Transformer. CVPR 2022: 9367-9376 - [i20]Khoi Nguyen, Sinisa Todorovic:
iFS-RCNN: An Incremental Few-shot Instance Segmenter. CoRR abs/2205.15562 (2022) - 2021
- [c82]Jun Li, Sinisa Todorovic:
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation. CVPR 2021: 9806-9815 - [c81]Khoi Nguyen, Sinisa Todorovic:
FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter. CVPR 2021: 11099-11108 - [c80]Jun Li, Sinisa Todorovic:
Action Shuffle Alternating Learning for Unsupervised Action Segmentation. CVPR 2021: 12628-12636 - [c79]Khoi Nguyen, Sinisa Todorovic:
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation. ICCV 2021: 7376-7385 - [i19]Khoi Nguyen, Sinisa Todorovic:
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter. CoRR abs/2104.00073 (2021) - [i18]Jun Li, Sinisa Todorovic:
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation. CoRR abs/2104.02113 (2021) - [i17]Jun Li, Sinisa Todorovic:
Action Shuffle Alternating Learning for Unsupervised Action Segmentation. CoRR abs/2104.02116 (2021) - [i16]Khoi Nguyen, Sinisa Todorovic:
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation. CoRR abs/2108.09897 (2021) - [i15]Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu:
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR abs/2109.01401 (2021) - 2020
- [c78]Jun Li, Sinisa Todorovic:
Set-Constrained Viterbi for Set-Supervised Action Segmentation. CVPR 2020: 10817-10826 - [c77]Jun Li, Fuxin Li, Sinisa Todorovic:
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform. ICLR 2020 - [c76]Khoi Nguyen, Sinisa Todorovic:
A Self-supervised GAN for Unsupervised Few-shot Object Recognition. ICPR 2020: 3225-3231 - [i14]Jun Li, Fuxin Li, Sinisa Todorovic:
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform. CoRR abs/2002.01113 (2020) - [i13]Jun Li, Sinisa Todorovic:
Set-Constrained Viterbi for Set-Supervised Action Segmentation. CoRR abs/2002.11925 (2020) - [i12]Khoi Nguyen, Sinisa Todorovic:
A Self-supervised GAN for Unsupervised Few-shot Object Recognition. CoRR abs/2008.06982 (2020)
2010 – 2019
- 2019
- [c75]Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. CVPR Workshops 2019: 87-90 - [c74]Arjun R. Akula, Changsong Liu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Explainable AI as Collaborative Task Solving. CVPR Workshops 2019: 91-94 - [c73]Nicolas Aziere, Sinisa Todorovic:
Ensemble Deep Manifold Similarity Learning Using Hard Proxies. CVPR 2019: 7299-7307 - [c72]Khoi Nguyen, Sinisa Todorovic:
Feature Weighting and Boosting for Few-Shot Segmentation. ICCV 2019: 622-631 - [c71]Jun Li, Peng Lei, Sinisa Todorovic:
Weakly Supervised Energy-Based Learning for Action Segmentation. ICCV 2019: 6242-6250 - [i11]Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. CoRR abs/1903.05720 (2019) - [i10]Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. CoRR abs/1909.06907 (2019) - [i9]Khoi Nguyen, Sinisa Todorovic:
Feature Weighting and Boosting for Few-Shot Segmentation. CoRR abs/1909.13140 (2019) - [i8]Jun Li, Peng Lei, Sinisa Todorovic:
Weakly Supervised Energy-Based Learning for Action Segmentation. CoRR abs/1909.13155 (2019) - 2018
- [j23]Laurel Cooper, Austin Meier, Marie-Angélique Laporte, Justin Elser, Chris Mungall, Brandon T. Sinn, Dario Cavaliere, Seth Carbon, Nathan A. Dunn, Barry Smith, Botong Qu, Justin Preece, Eugene Zhang, Sinisa Todorovic, Georgios V. Gkoutos, John H. Doonan, Dennis W. Stevenson, Elizabeth Arnaud, Pankaj Jaiswal:
The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics. Nucleic Acids Res. 46(Database-Issue): D1168-D1180 (2018) - [j22]Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1639-1652 (2018) - [c70]Peng Lei, Fuxin Li, Sinisa Todorovic:
Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion. CVPR 2018: 3282-3290 - [c69]Peng Lei, Sinisa Todorovic:
Temporal Deformable Residual Networks for Action Segmentation in Videos. CVPR 2018: 6742-6751 - [c68]Dimitrios Trigkakis, Justin Preece, Austin Meier, Justin Elser, Kristian Kvilekval, Dmitry V. Fedorov, B. S. Manjunath, Pankaj Jaiswal, Sinisa Todorovic:
Planteome & BisQue: Automating Image Annotation with Ontologies using Deep-Learning Networks. ICBO 2018 - [c67]Anirban Roy, Sinisa Todorovic:
Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs. ICPR 2018: 97-102 - 2017
- [j21]Zhuo Deng, Sinisa Todorovic, Longin Jan Latecki:
Unsupervised object region proposals for RGB-D indoor scenes. Comput. Vis. Image Underst. 154: 127-136 (2017) - [j20]Hamid Mahmoudabadi, Michael J. Olsen, Sinisa Todorovic:
Detecting sudden moving objects in a series of digital images with different exposure times. Comput. Vis. Image Underst. 158: 17-30 (2017) - [j19]Jean Kossaifi, Georgios Tzimiropoulos, Sinisa Todorovic, Maja Pantic:
AFEW-VA database for valence and arousal estimation in-the-wild. Image Vis. Comput. 65: 23-36 (2017) - [c66]Behrooz Mahasseni, Sinisa Todorovic, Alan Fern:
Budget-Aware Deep Semantic Video Segmentation. CVPR 2017: 2077-2086 - [c65]Behrooz Mahasseni, Michael Lam, Sinisa Todorovic:
Unsupervised Video Summarization with Adversarial LSTM Networks. CVPR 2017: 2982-2991 - [c64]Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CVPR 2017: 4255-4263 - [c63]Michael Lam, Behrooz Mahasseni, Sinisa Todorovic:
Fine-Grained Recognition as HSnet Search for Informative Image Parts. CVPR 2017: 6497-6506 - [c62]Anirban Roy, Sinisa Todorovic:
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation. CVPR 2017: 7282-7291 - [i7]Peng Lei, Fuxin Li, Sinisa Todorovic:
Joint Spatio-Temporal Boundary Detection and Boundary Flow Prediction with a Fully Convolutional Siamese Network. CoRR abs/1702.08646 (2017) - [i6]Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CoRR abs/1704.03058 (2017) - 2016
- [j18]Mohamed R. Amer, Sinisa Todorovic:
Sum Product Networks for Activity Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 800-813 (2016) - [j17]Sebastian Kaltwang, Sinisa Todorovic, Maja Pantic:
Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1748-1761 (2016) - [c61]Behrooz Mahasseni, Sinisa Todorovic:
Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition. CVPR 2016: 3054-3062 - [c60]Anirban Roy, Sinisa Todorovic:
Monocular Depth Estimation Using Neural Regression Forest. CVPR 2016: 5506-5514 - [c59]Anirban Roy, Sinisa Todorovic:
A Multi-scale CNN for Affordance Segmentation in RGB Images. ECCV (4) 2016: 186-201 - [c58]Peng Lei, Sinisa Todorovic:
Recurrent Temporal Deep Field for Semantic Video Labeling. ECCV (5) 2016: 302-317 - [c57]Laurel Cooper, Austin Meier, Justin Elser, Justin Preece, Xu Xu, Ryan Kitchen, Botong Qu, Eugene Zhang, Sinisa Todorovic, Pankaj Jaiswal, Marie-Angélique Laporte, Elizabeth Arnaud, Seth Carbon, Chris Mungall, Barry Smith, Georgios V. Gkoutos, John H. Doonan:
The Planteome Project. ICBO/BioCreative 2016 - [c56]Justin Preece, Justin Elser, Pankaj Jaiswal, Kristian Kvilekval, Dmitry V. Fedorov, B. S. Manjunath, Ryan Kitchen, Xu Xu, Dmitrios Trigkakis, Sinisa Todorovic, Seth Carbon:
Plant Image Segmentation and Annotation with Ontologies in BisQue. ICBO/BioCreative 2016 - [c55]Peng Lei, Sinisa Todorovic:
Modeling human-skeleton motion patterns using conditional deep Boltzmann machine. ICPR 2016: 1845-1850 - [c54]Xu Xu, Sinisa Todorovic:
Beam search for learning a deep Convolutional Neural Network of 3D shapes. ICPR 2016: 3506-3511 - [c53]Anirban Roy, Sinisa Todorovic, Longin Jan Latecki:
Context-regularized learning of fully convolutional networks for scene labeling. ICPR 2016: 3751-3756 - [i5]Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction. CoRR abs/1606.07827 (2016) - [i4]Behrooz Mahasseni, Sinisa Todorovic, Alan Fern:
Approximate Policy Iteration for Budgeted Semantic Video Segmentation. CoRR abs/1607.07770 (2016) - [i3]Xu Xu, Sinisa Todorovic:
Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes. CoRR abs/1612.04774 (2016) - 2015
- [j16]Mohamed R. Amer, Siavash Yousefi, Raviv Raich, Sinisa Todorovic:
Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization. Int. J. Comput. Vis. 112(1): 23-42 (2015) - [c52]Sebastian Kaltwang, Sinisa Todorovic, Maja Pantic:
Latent trees for estimating intensity of Facial Action Units. CVPR 2015: 296-304 - [c51]Sheng Chen, Alan Fern, Sinisa Todorovic:
Person count localization in videos from noisy foreground and detections. CVPR 2015: 1364-1372 - [c50]Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu:
Joint inference of groups, events and human roles in aerial videos. CVPR 2015: 4576-4584 - [c49]Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich:
ℋC-search for structured prediction in computer vision. CVPR 2015: 4923-4932 - [c48]Zhuo Deng, Sinisa Todorovic, Longin Jan Latecki:
Semantic Segmentation of RGBD Images with Mutex Constraints. ICCV 2015: 1733-1741 - [i2]Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu:
Joint Inference of Groups, Events and Human Roles in Aerial Videos. CoRR abs/1505.05957 (2015) - [i1]Shell Xu Hu, Christopher K. I. Williams, Sinisa Todorovic:
Tree-Cut for Probabilistic Image Segmentation. CoRR abs/1506.03852 (2015) - 2014
- [j15]Nikhil Lingutla, Justin Preece, Sinisa Todorovic, Laurel Cooper, Laura Moore, Pankaj Jaiswal:
AISO: Annotation of Image Segments with Ontologies. J. Biomed. Semant. 5: 50 (2014) - [c47]Sheng Chen, Alan Fern, Sinisa Todorovic:
Multi-object Tracking via Constrained Sequential Labeling. CVPR 2014: 1130-1137 - [c46]Anirban Roy, Sinisa Todorovic:
Scene Labeling Using Beam Search under Mutex Constraints. CVPR 2014: 1178-1185 - [c45]Mohamed Rabie Amer, Peng Lei, Sinisa Todorovic:
HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos. ECCV (6) 2014: 572-585 - [c44]Sheng Chen, Zhongyuan Feng, Qingkai Lu, Behrooz Mahasseni, Trevor Fiez, Alan Fern, Sinisa Todorovic:
Play type recognition in real-world football video. WACV 2014: 652-659 - 2013
- [j14]Nadia Payet, Sinisa Todorovic:
SLEDGE: Sequential Labeling of Image Edges for Boundary Detection. Int. J. Comput. Vis. 104(1): 15-37 (2013) - [j13]Nadia Payet, Sinisa Todorovic:
Hough Forest Random Field for Object Recognition and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1066-1079 (2013) - [c43]Behrooz Mahasseni, Sheng Chen, Alan Fern, Sinisa Todorovic:
Detecting the Moment of Snap in Real-World Football Videos. IAAI 2013: 1545-1550 - [c42]Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu:
Monte Carlo Tree Search for Scheduling Activity Recognition. ICCV 2013: 1353-1360 - [c41]Dan Xie, Sinisa Todorovic, Song-Chun Zhu:
Inferring "Dark Matter" and "Dark Energy" from Videos. ICCV 2013: 2224-2231 - [c40]Behrooz Mahasseni, Sinisa Todorovic:
Latent Multitask Learning for View-Invariant Action Recognition. ICCV 2013: 3128-3135 - [c39]Michael Lam, Janardhan Rao Doppa, Xu Hu, Sinisa Todorovic, Thomas G. Dietterich, Abigail Reft, Marymegan Daly:
Learning to Detect Basal Tubules of Nematocysts in SEM Images. ICCV Workshops 2013: 190-196 - [c38]Xu Hu, Michael Lam, Sinisa Todorovic, Thomas G. Dietterich, Maureen A. OLeary, Andrea L. Cirranello, Nancy B. Simmons, Paúl M. Velazco:
Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls. ICCV Workshops 2013: 203-209 - [p1]Sinisa Todorovic, Nadia Payet:
Shape-Based Object Discovery in Images. Shape Perception in Human and Computer Vision 2013: 399-412 - 2012
- [c37]Mohamed R. Amer, Sinisa Todorovic:
Sum-product networks for modeling activities with stochastic structure. CVPR 2012: 1314-1321 - [c36]Sinisa Todorovic:
Human Activities as Stochastic Kronecker Graphs. ECCV (2) 2012: 130-143 - [c35]Mohamed R. Amer, Dan Xie, Mingtian Zhao, Sinisa Todorovic, Song Chun Zhu:
Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition. ECCV (4) 2012: 187-200 - [c34]William Curran, Travis Moore, Todd Kulesza, Weng-Keen Wong, Sinisa Todorovic, Simone Stumpf, Rachel White, Margaret M. Burnett:
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? IUI 2012: 285-288 - 2011
- [j12]Sinisa Todorovic, Rama Chellappa:
Editorial. Int. J. Comput. Vis. 93(2): 115-116 (2011) - [j11]Mizuki Kagaya, William Brendel, Qingqing Deng, Todd Kesterson, Sinisa Todorovic, Patrick J. Neill, Eugene Zhang:
Video Painting with Space-Time-Varying Style Parameters. IEEE Trans. Vis. Comput. Graph. 17(1): 74-87 (2011) - [c33]William Brendel, Mohamed R. Amer, Sinisa Todorovic:
Multiobject tracking as maximum weight independent set. CVPR 2011: 1273-1280 - [c32]Nadia Payet, Sinisa Todorovic:
Scene shape from texture of objects. CVPR 2011: 2017-2024 - [c31]William Brendel, Alan Fern, Sinisa Todorovic:
Probabilistic event logic for interval-based event recognition. CVPR 2011: 3329-3336 - [c30]William Brendel, Sinisa Todorovic:
Learning spatiotemporal graphs of human activities. ICCV 2011: 778-785 - [c29]Mohamed R. Amer, Sinisa Todorovic:
A chains model for localizing participants of group activities in videos. ICCV 2011: 786-793 - [c28]Nadia Payet, Sinisa Todorovic:
From contours to 3D object detection and pose estimation. ICCV 2011: 983-990 - [c27]Joseph Selman, Mohamed R. Amer, Alan Fern, Sinisa Todorovic:
PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation. ICCV Workshops 2011: 680-687 - [c26]Mohamed R. Amer, Emil Bilgazyev, Sinisa Todorovic, Shishir K. Shah, Ioannis A. Kakadiaris, Lorenzo Ciannelli:
Fine-grained categorization of fish motion patterns in underwater videos. ICCV Workshops 2011: 1488-1495 - 2010
- [j10]Yijun Sun, Sinisa Todorovic, Steve Goodison:
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1610-1626 (2010) - [c25]Nadia Payet, Sinisa Todorovic:
From a Set of Shapes to Object Discovery. ECCV (5) 2010: 57-70 - [c24]William Brendel, Sinisa Todorovic:
Activities as Time Series of Human Postures. ECCV (2) 2010: 721-734 - [c23]Mohamed R. Amer, Raviv Raich, Sinisa Todorovic:
Monocular Extraction of 2.1D Sketch. ICIP 2010: 3437-3440 - [c22]William Brendel, Sinisa Todorovic:
Segmentation as Maximum-Weight Independent Set. NIPS 2010: 307-315 - [c21]Nadia Payet, Sinisa Todorovic:
(RF)^2 - Random Forest Random Field. NIPS 2010: 1885-1893 - [c20]Narendra Ahuja, Sinisa Todorovic:
From Region Based Image Representation to Object Discovery and Recognition. SSPR/SPR 2010: 1-19
2000 – 2009
- 2009
- [c19]Gonzalo Martínez-Muñoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich:
Dictionary-free categorization of very similar objects via stacked evidence trees. CVPR 2009: 549-556 - [c18]Nadia Payet, Sinisa Todorovic:
Matching Hierarchies of Deformable Shapes. GbRPR 2009: 1-10 - [c17]William Brendel, Sinisa Todorovic:
Video object segmentation by tracking regions. ICCV 2009: 833-840 - [c16]Sinisa Todorovic, Narendra Ahuja:
Texel-based texture segmentation. ICCV 2009: 841-848 - 2008
- [j9]Sinisa Todorovic, Narendra Ahuja:
Region-Based Hierarchical Image Matching. Int. J. Comput. Vis. 78(1): 47-66 (2008) - [j8]Sinisa Todorovic, Narendra Ahuja:
Unsupervised Category Modeling, Recognition, and Segmentation in Images. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2158-2174 (2008) - [c15]Narendra Ahuja, Sinisa Todorovic:
Connected Segmentation Tree - A joint representation of region layout and hierarchy. CVPR 2008 - [c14]Sinisa Todorovic, Narendra Ahuja:
Learning subcategory relevances for category recognition. CVPR 2008 - [c13]Sinisa Todorovic, Narendra Ahuja:
Scale-invariant region-based hierarchical imagematching. ICPR 2008: 1-5 - [c12]Yijun Sun, Sinisa Todorovic, Steve Goodison:
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality. SDM 2008: 530-540 - 2007
- [j7]Kejie Lu, Dapeng Wu, Jieyan Fan, Sinisa Todorovic, Antonio Nucci:
Robust and efficient detection of DDoS attacks for large-scale internet. Comput. Networks 51(18): 5036-5056 (2007) - [j6]Sinisa Todorovic, Michael C. Nechyba:
Interpretation of complex scenes using dynamic tree-structure Bayesian networks. Comput. Vis. Image Underst. 106(1): 71-84 (2007) - [j5]Yijun Sun, Sinisa Todorovic, Jian Li:
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework. Pattern Recognit. Lett. 28(5): 631-643 (2007) - [j4]Yijun Sun, Sinisa Todorovic, Jian Li:
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework. J. VLSI Signal Process. 48(1-2): 5-20 (2007) - [c11]Narendra Ahuja, Sinisa Todorovic:
Extracting Texels in 2.1D Natural Textures. ICCV 2007: 1-8 - [c10]Narendra Ahuja, Sinisa Todorovic:
Learning the Taxonomy and Models of Categories Present in Arbitrary Images. ICCV 2007: 1-8 - 2006
- [j3]Yijun Sun, Sinisa Todorovic, Jian Li:
Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness. Int. J. Pattern Recognit. Artif. Intell. 20(7): 1093-1116 (2006) - [c9]Sinisa Todorovic, Narendra Ahuja:
Extracting Subimages of an Unknown Category from a Set of Images. CVPR (1) 2006: 927-934 - [c8]Sinisa Todorovic, Narendra Ahuja:
3D Texture Classification Using the Belief Net of a Segmentation Tree. ICPR (4) 2006: 33-36 - 2005
- [j2]Sinisa Todorovic, Michael C. Nechyba:
Dynamic Trees for Unsupervised Segmentation and Matching of Image Regions. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1762-1777 (2005) - [c7]Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu:
Unifying the error-correcting and output-code AdaBoost within the margin framework. ICML 2005: 872-879 - 2004
- [j1]Sinisa Todorovic, Michael C. Nechyba:
A vision system for intelligent mission profiles of micro air vehicles. IEEE Trans. Veh. Technol. 53(6): 1713-1725 (2004) - [c6]Sinisa Todorovic, Michael C. Nechyba:
Interpretation of Complex Scenes Using Generative Dynamic-Structure Models. CVPR Workshops 2004: 184 - [c5]Sinisa Todorovic, Michael C. Nechyba:
Towards Intelligent Mission Profiles of Micro Air Vehicles: Multiscale Viterbi Classification. ECCV (2) 2004: 178-189 - [c4]Sinisa Todorovic, Michael C. Nechyba:
Detection of Artificial Structures in Natural-Scene Images Using Dynamic Trees. ICPR (1) 2004: 35-39 - [c3]Sinisa Todorovic, Michael C. Nechyba:
Intelligent Missions for MAVs: Visual Contexts for Control, Tracking and Recognition. ICRA 2004: 1640-1645 - 2003
- [c2]Sinisa Todorovic, Michael C. Nechyba:
Multiresolution linear discriminant analysis: efficient extraction of geometrical structures in images. ICIP (1) 2003: 1029-1032 - [c1]Sinisa Todorovic, Michael C. Nechyba, Peter G. Ifju:
Sky/ground modeling for autonomous MAV flight. ICRA 2003: 1422-1427
Coauthor Index
aka: Mohamed Rabie Amer
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