Sinisa Todorovic

Orcid: 0000-0001-5793-5921

According to our database1, Sinisa Todorovic authored at least 118 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Bidirectional Alignment for Domain Adaptive Detection with Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Markov Game Video Augmentation for Action Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A polar-edge context-aware (PECA) network for mirror segmentation.
Image Vis. Comput., 2022

Multistage temporal convolution transformer for action segmentation.
Image Vis. Comput., 2022

iFS-RCNN: An Incremental Few-shot Instance Segmenter.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DESTR: Object Detection with Split Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models.
CoRR, 2021

A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Action Shuffle Alternating Learning for Unsupervised Action Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Anchor-Constrained Viterbi for Set-Supervised Action Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform.
Proceedings of the 8th International Conference on Learning Representations, 2020

Set-Constrained Viterbi for Set-Supervised Action Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust.
CoRR, 2019

Feature Weighting and Boosting for Few-Shot Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Weakly Supervised Energy-Based Learning for Action Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Ensemble Deep Manifold Similarity Learning Using Hard Proxies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Natural Language Interaction with Explainable AI Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Explainable AI as Collaborative Task Solving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.
Nucleic Acids Res., 2018

Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Planteome & BisQue: Automating Image Annotation with Ontologies using Deep-Learning Networks.
Proceedings of the 9th International Conference on Biological Ontology (ICBO 2018), 2018

Temporal Deformable Residual Networks for Action Segmentation in Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
AFEW-VA database for valence and arousal estimation in-the-wild.
Image Vis. Comput., 2017

Detecting sudden moving objects in a series of digital images with different exposure times.
Comput. Vis. Image Underst., 2017

Unsupervised object region proposals for RGB-D indoor scenes.
Comput. Vis. Image Underst., 2017

Joint Spatio-Temporal Boundary Detection and Boundary Flow Prediction with a Fully Convolutional Siamese Network.
CoRR, 2017

CERN: Confidence-Energy Recurrent Network for Group Activity Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Budget-Aware Deep Semantic Video Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unsupervised Video Summarization with Adversarial LSTM Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fine-Grained Recognition as HSnet Search for Informative Image Parts.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Sum Product Networks for Activity Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction.
CoRR, 2016

Approximate Policy Iteration for Budgeted Semantic Video Segmentation.
CoRR, 2016

Beam search for learning a deep Convolutional Neural Network of 3D shapes.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Context-regularized learning of fully convolutional networks for scene labeling.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Modeling human-skeleton motion patterns using conditional deep Boltzmann machine.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Plant Image Segmentation and Annotation with Ontologies in BisQue.
Proceedings of the Joint International Conference on Biological Ontology and BioCreative, 2016


A Multi-scale CNN for Affordance Segmentation in RGB Images.
Proceedings of the Computer Vision - ECCV 2016, 2016

Recurrent Temporal Deep Field for Semantic Video Labeling.
Proceedings of the Computer Vision - ECCV 2016, 2016

Monocular Depth Estimation Using Neural Regression Forest.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization.
Int. J. Comput. Vis., 2015

Tree-Cut for Probabilistic Image Segmentation.
CoRR, 2015

Semantic Segmentation of RGBD Images with Mutex Constraints.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Joint inference of groups, events and human roles in aerial videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

ℋC-search for structured prediction in computer vision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Latent trees for estimating intensity of Facial Action Units.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Person count localization in videos from noisy foreground and detections.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
AISO: Annotation of Image Segments with Ontologies.
J. Biomed. Semant., 2014

Play type recognition in real-world football video.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos.
Proceedings of the Computer Vision - ECCV 2014, 2014

Scene Labeling Using Beam Search under Mutex Constraints.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Multi-object Tracking via Constrained Sequential Labeling.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Hough Forest Random Field for Object Recognition and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

SLEDGE: Sequential Labeling of Image Edges for Boundary Detection.
Int. J. Comput. Vis., 2013

Learning to Detect Basal Tubules of Nematocysts in SEM Images.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Inferring "Dark Matter" and "Dark Energy" from Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Latent Multitask Learning for View-Invariant Action Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Monte Carlo Tree Search for Scheduling Activity Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Detecting the Moment of Snap in Real-World Football Videos.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

Shape-Based Object Discovery in Images.
Proceedings of the Shape Perception in Human and Computer Vision, 2013

2012
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?
Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

Human Activities as Stochastic Kronecker Graphs.
Proceedings of the Computer Vision - ECCV 2012, 2012

Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition.
Proceedings of the Computer Vision - ECCV 2012, 2012

Sum-product networks for modeling activities with stochastic structure.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Video Painting with Space-Time-Varying Style Parameters.
IEEE Trans. Vis. Comput. Graph., 2011

Editorial.
Int. J. Comput. Vis., 2011

PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Fine-grained categorization of fish motion patterns in underwater videos.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

From contours to 3D object detection and pose estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning spatiotemporal graphs of human activities.
Proceedings of the IEEE International Conference on Computer Vision, 2011

A chains model for localizing participants of group activities in videos.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Scene shape from texture of objects.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Probabilistic event logic for interval-based event recognition.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multiobject tracking as maximum weight independent set.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

From Region Based Image Representation to Object Discovery and Recognition.
Proceedings of the Structural, 2010

(RF)^2 - Random Forest Random Field.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Segmentation as Maximum-Weight Independent Set.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Monocular Extraction of 2.1D Sketch.
Proceedings of the International Conference on Image Processing, 2010

From a Set of Shapes to Object Discovery.
Proceedings of the Computer Vision - ECCV 2010, 2010

Activities as Time Series of Human Postures.
Proceedings of the Computer Vision, 2010

2009
Texel-based texture segmentation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Video object segmentation by tracking regions.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Matching Hierarchies of Deformable Shapes.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

Dictionary-free categorization of very similar objects via stacked evidence trees.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Unsupervised Category Modeling, Recognition, and Segmentation in Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Region-Based Hierarchical Image Matching.
Int. J. Comput. Vis., 2008

A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality.
Proceedings of the SIAM International Conference on Data Mining, 2008

Scale-invariant region-based hierarchical imagematching.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Learning subcategory relevances for category recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Connected Segmentation Tree - A joint representation of region layout and hierarchy.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework.
J. VLSI Signal Process., 2007

Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework.
Pattern Recognit. Lett., 2007

Interpretation of complex scenes using dynamic tree-structure Bayesian networks.
Comput. Vis. Image Underst., 2007

Robust and efficient detection of DDoS attacks for large-scale internet.
Comput. Networks, 2007

Learning the Taxonomy and Models of Categories Present in Arbitrary Images.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Extracting Texels in 2.1D Natural Textures.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness.
Int. J. Pattern Recognit. Artif. Intell., 2006

3D Texture Classification Using the Belief Net of a Segmentation Tree.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Extracting Subimages of an Unknown Category from a Set of Images.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Dynamic Trees for Unsupervised Segmentation and Matching of Image Regions.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Unifying the error-correcting and output-code AdaBoost within the margin framework.
Proceedings of the Machine Learning, 2005

2004
A vision system for intelligent mission profiles of micro air vehicles.
IEEE Trans. Veh. Technol., 2004

Intelligent Missions for MAVs: Visual Contexts for Control, Tracking and Recognition.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Detection of Artificial Structures in Natural-Scene Images Using Dynamic Trees.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Towards Intelligent Mission Profiles of Micro Air Vehicles: Multiscale Viterbi Classification.
Proceedings of the Computer Vision, 2004

Interpretation of Complex Scenes Using Generative Dynamic-Structure Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
Sky/ground modeling for autonomous MAV flight.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Multiresolution linear discriminant analysis: efficient extraction of geometrical structures in images.
Proceedings of the 2003 International Conference on Image Processing, 2003


  Loading...