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Vladimir Pavlovic 0001
Vladimir I. Pavlovic
Person information
- affiliation: Rutgers University, USA
Other persons with the same name
- Vladimir Pavlovic
- Vladimir Pavlovic 0002
— University of Niš, Faculty of Sciences and Mathematics, Department of Mathematics, Serbia
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2020 – today
- 2024
- [c142]Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Learning from Synthetic Human Group Activities. CVPR 2024: 21922-21932 - [c141]Kalliopi Basioti, Mohamed A. Abdelsalam, Federico Fancellu, Vladimir Pavlovic, Afsaneh Fazly:
CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation. ECCV (66) 2024: 444-461 - [c140]Jiatong Li, Kalliopi Basioti, Vladimir Pavlovic:
Box2Flow: Instance-Based Action Flow Graphs from Videos. ICPR (27) 2024: 39-55 - [c139]Qingze Tony Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. ICPR (29) 2024: 382-397 - [i55]Kalliopi Basioti, Mohamed A. Abdelsalam, Federico Fancellu, Vladimir Pavlovic, Afsaneh Fazly:
CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation. CoRR abs/2407.11393 (2024) - [i54]Jiatong Li, Kalliopi Basioti, Vladimir Pavlovic:
Box2Flow: Instance-based Action Flow Graphs from Videos. CoRR abs/2409.00295 (2024) - [i53]Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. CoRR abs/2410.10804 (2024) - 2023
- [j39]Kaidong Hu, M. Brandon Haworth
, Glen Berseth
, Vladimir Pavlovic, Petros Faloutsos
, Mubbasir Kapadia:
Heterogeneous Crowd Simulation Using Parametric Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 29(4): 2036-2052 (2023) - [c138]Georgianna Lin
, Jin Yi Li
, Afsaneh Fazly
, Vladimir Pavlovic
, Khai N. Truong
:
Identifying Multimodal Context Awareness Requirements for Supporting User Interaction with Procedural Videos. CHI 2023: 761:1-761:17 - [c137]Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisacanin, Vladimir Pavlovic:
ALWOD: Active Learning for Weakly-Supervised Object Detection. ICCV 2023: 6436-6446 - [c136]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. ICCV 2023: 19209-19219 - [c135]Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz:
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. ICML 2023: 36138-36156 - [c134]Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. WACV 2023: 22-31 - [i52]Che-Jui Chang, Honglu Zhou, Parth Goel, Aditya Bhat, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Learning from Synthetic Human Group Activities. CoRR abs/2306.16772 (2023) - [i51]Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz:
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. CoRR abs/2308.02866 (2023) - [i50]Yuting Wang, Velibor Ilic
, Jiatong Li, Branislav Kisacanin, Vladimir Pavlovic:
ALWOD: Active Learning for Weakly-Supervised Object Detection. CoRR abs/2309.07914 (2023) - 2022
- [j38]Samuel S. Sohn
, Mihee Lee, Seonghyeon Moon
, Gang Qiao, Muhammad Usman
, Sejong Yoon
, Vladimir Pavlovic, Mubbasir Kapadia:
A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction. Comput. Graph. 106: 130-140 (2022) - [j37]Hai Xuan Pham
, Yuting Wang, Vladimir Pavlovic:
Learning Continuous Facial Actions From Speech for Real-Time Animation. IEEE Trans. Affect. Comput. 13(3): 1567-1580 (2022) - [c133]Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone:
Cross-Modal Coherence for Text-to-Image Retrieval. AAAI 2022: 10427-10435 - [c132]Minyoung Kim, Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic:
Variational Continual Proxy-Anchor for Deep Metric Learning. AISTATS 2022: 4552-4573 - [c131]Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu, Kalliopi Basioti, Dhaivat Bhatt, Vladimir Pavlovic, Afsaneh Fazly:
Visual Semantic Parsing: From Images to Abstract Meaning Representation. CoNLL 2022: 282-300 - [c130]Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. CVPR 2022: 2211-2220 - [c129]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HM: Hybrid Masking for Few-Shot Segmentation. ECCV (20) 2022: 506-523 - [c128]Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. ICML 2022: 22919-22934 - [c127]Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic:
DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling. ICPR 2022: 4448-4455 - [c126]Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. IJCAI 2022: 1328-1334 - [c125]Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic:
SAViR-T: Spatially Attentive Visual Reasoning with Transformers. ECML/PKDD (3) 2022: 460-476 - [i49]Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. CoRR abs/2201.07189 (2022) - [i48]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HMFS: Hybrid Masking for Few-Shot Segmentation. CoRR abs/2203.12826 (2022) - [i47]Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic:
SAViR-T: Spatially Attentive Visual Reasoning with Transformers. CoRR abs/2206.09265 (2022) - [i46]Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. CoRR abs/2207.01066 (2022) - [i45]Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu, Kalliopi Basioti, Dhaivat J. Bhatt, Vladimir Pavlovic, Afsaneh Fazly:
Visual Semantic Parsing: From Images to Abstract Meaning Representation. CoRR abs/2210.14862 (2022) - [i44]Gang Qiao, Kaidong Hu, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction. CoRR abs/2211.00817 (2022) - [i43]Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. CoRR abs/2212.01376 (2022) - [i42]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. CoRR abs/2212.04673 (2022) - 2021
- [c124]Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic
, Jiatong Li:
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. AAAI 2021: 2423-2430 - [c123]Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. BMVC 2021: 318 - [c122]Mihee Lee, Vladimir Pavlovic
:
Private-Shared Disentangled Multimodal VAE for Learning of Latent Representations. CVPR Workshops 2021: 1692-1700 - [c121]Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman
, Sejong Yoon, Vladimir Pavlovic
, Mubbasir Kapadia:
A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction. MIG 2021: 19:1-19:9 - [c120]Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
:
Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. ACM Multimedia 2021: 2862-2870 - [c119]Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic
:
Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning. ACM Multimedia 2021: 3192-3201 - [c118]Alexander Viola, Vladimir Pavlovic, Sejong Yoon:
Constructivist Approaches for Computational Emotions: A Systematic Survey. ToM for Teams 2021: 30-50 - [i41]Hai Xuan Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic:
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. CoRR abs/2102.02547 (2021) - [i40]Minyoung Kim, Vladimir Pavlovic:
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach. CoRR abs/2102.03151 (2021) - [i39]Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone:
Cross-Modal Coherence for Text-to-Image Retrieval. CoRR abs/2109.11047 (2021) - [i38]Pritish Sahu, Vladimir Pavlovic:
DAReN: A Collaborative Approach Towards Reasoning And Disentangling. CoRR abs/2109.13156 (2021) - [i37]Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. CoRR abs/2110.11830 (2021) - 2020
- [j36]Kaidong Hu, Sejong Yoon
, Vladimir Pavlovic
, Petros Faloutsos, Mubbasir Kapadia:
Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. Comput. Graph. 88: 83-96 (2020) - [j35]Behnam Gholami
, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
:
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. IEEE Trans. Image Process. 29: 3993-4002 (2020) - [j34]Weiwei Liu
, Xiaobo Shen
, Yew-Soon Ong, Ivor W. Tsang
, Chen Gong, Vladimir Pavlovic
:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2236-2239 (2020) - [c117]Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Laying the Foundations of Deep Long-Term Crowd Flow Prediction. ECCV (29) 2020: 711-728 - [c116]Minyoung Kim, Vladimir Pavlovic
:
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. ICDM 2020: 252-261 - [c115]Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
:
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. ICPR 2020: 10343-10350 - [c114]Minyoung Kim, Vladimir Pavlovic
:
Recursive Inference for Variational Autoencoders. NeurIPS 2020 - [c113]Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
:
CookGAN: Meal Image Synthesis from Ingredients. WACV 2020: 1439-1447 - [i36]Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
CookGAN: Meal Image Synthesis from Ingredients. CoRR abs/2002.11493 (2020) - [i35]Minyoung Kim, Vladimir Pavlovic:
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. CoRR abs/2009.03034 (2020) - [i34]Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. CoRR abs/2010.08727 (2020) - [i33]Minyoung Kim, Vladimir Pavlovic:
Recursive Inference for Variational Autoencoders. CoRR abs/2011.08544 (2020) - [i32]Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic:
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. CoRR abs/2012.00682 (2020) - [i31]Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic:
Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace. CoRR abs/2012.01345 (2020) - [i30]Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs. CoRR abs/2012.02821 (2020) - [i29]Mihee Lee, Vladimir Pavlovic:
Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations. CoRR abs/2012.13024 (2020)
2010 – 2019
- 2019
- [j33]Long Zhao
, Fangda Han, Xi Peng, Xun Zhang
, Mubbasir Kapadia, Vladimir Pavlovic
, Dimitris N. Metaxas:
Cartoonish sketch-based face editing in videos using identity deformation transfer. Comput. Graph. 79: 58-68 (2019) - [j32]Lu Sheng
, Jianfei Cai
, Tat-Jen Cham
, Vladimir Pavlovic
, King Ngi Ngan
:
Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1994-2007 (2019) - [j31]Robert Walecki
, Ognjen Rudovic, Vladimir Pavlovic
, Maja Pantic:
Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity. IEEE Trans. Affect. Comput. 10(3): 297-312 (2019) - [c112]Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
:
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CVPR 2019: 4380-4390 - [c111]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
:
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. ICCV 2019: 2979-2987 - [c110]Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
:
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. ICCV Workshops 2019: 1327-1336 - [c109]Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic
, Maja Pantic:
Sequential Dependence and Non-linearity in Affective Responses: a Skin Conductance Example. AffComp@IJCAI 2019: 9-27 - [c108]Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic
, Minyoung Kim:
Efficient Deep Gaussian Process Models for Variable-Sized Inputs. IJCNN 2019: 1-7 - [c107]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. MIG 2019: 36:1-36:11 - [c106]Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic
:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. MADiMa @ ACM Multimedia 2019: 2-6 - [i28]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Relevance Factor VAE: Learning and Identifying Disentangled Factors. CoRR abs/1902.01568 (2019) - [i27]Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic:
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CoRR abs/1902.08727 (2019) - [i26]Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan:
Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking. CoRR abs/1905.02114 (2019) - [i25]Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim:
Efficient Deep Gaussian Process Models for Variable-Sized Input. CoRR abs/1905.06982 (2019) - [i24]Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
The Art of Food: Meal Image Synthesis from Ingredients. CoRR abs/1905.13149 (2019) - [i23]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. CoRR abs/1909.02820 (2019) - [i22]Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic:
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model. CoRR abs/1909.12158 (2019) - [i21]Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic:
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/1909.12366 (2019) - [i20]Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. CoRR abs/1910.00100 (2019) - [i19]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. CoRR abs/1910.00738 (2019) - [i18]Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Deep Crowd-Flow Prediction in Built Environments. CoRR abs/1910.05810 (2019) - 2018
- [c105]Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
:
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. AAAI 2018: 4710-4717 - [c104]Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic
:
End-to-end Learning for 3D Facial Animation from Speech. ICMI 2018: 361-365 - [c103]Minyoung Kim, Vladimir Pavlovic
:
Variational Inference for Gaussian Process Models for Survival Analysis. UAI 2018: 435-445 - [i17]Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic:
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network. CoRR abs/1803.07716 (2018) - [i16]Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic:
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. CoRR abs/1810.11547 (2018) - 2017
- [j30]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
, Maja Pantic:
Variable-state Latent Conditional Random Field models for facial expression analysis. Image Vis. Comput. 58: 25-37 (2017) - [j29]Jongpil Kim, Vladimir Pavlovic
:
Discovering characteristic landmarks on ancient coins using convolutional networks. J. Electronic Imaging 26(1): 11018 (2017) - [j28]Chongyu Chen, Hai Xuan Pham
, Vladimir Pavlovic
, Jianfei Cai
, Guangming Shi, Yuefang Gao, Hui Cheng:
Using 3D face priors for depth recovery. J. Vis. Commun. Image Represent. 48: 16-29 (2017) - [c102]Hai Xuan Pham, Samuel Cheung, Vladimir Pavlovic
:
Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach. CVPR Workshops 2017: 2328-2336 - [c101]Behnam Gholami, Vladimir Pavlovic
:
Probabilistic Temporal Subspace Clustering. CVPR 2017: 4313-4322 - [c100]Lu Sheng
, Jianfei Cai
, Tat-Jen Cham
, Vladimir Pavlovic
, King Ngi Ngan
:
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking. CVPR 2017: 4598-4607 - [c99]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
, Björn W. Schuller
, Maja Pantic:
Deep Structured Learning for Facial Action Unit Intensity Estimation. CVPR 2017: 5709-5718 - [c98]Behnam Gholami, Ognjen Rudovic, Vladimir Pavlovic
:
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories. ICCV 2017: 3601-3610 - [c97]Weining Liu, Vladimir Pavlovic
, Kaidong Hu, Petros Faloutsos, Sejong Yoon, Mubbasir Kapadia:
Characterizing the relationship between environment layout and crowd movement using machine learning. MIG 2017: 2:1-2:6 - [c96]Cuong D. Tran, Ognjen (Oggi) Rudovic, Vladimir Pavlovic
:
Unsupervised domain adaptation with copula models. MLSP 2017: 1-6 - [p2]Ognjen Rudovic, Mihalis A. Nicolaou, Vladimir Pavlovic
:
Machine Learning Methods for Social Signal Processing. Social Signal Processing 2017: 234-254 - [i15]Long Zhao, Fangda Han, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas:
Sketch-based Face Editing in Video Using Identity Deformation Transfer. CoRR abs/1703.08738 (2017) - [i14]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Björn W. Schuller, Maja Pantic:
Deep Structured Learning for Facial Action Unit Intensity Estimation. CoRR abs/1704.04481 (2017) - [i13]Cuong D. Tran, Ognjen Rudovic, Vladimir Pavlovic:
Unsupervised Domain Adaptation with Copula Models. CoRR abs/1710.00018 (2017) - [i12]Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic:
End-to-end Learning for 3D Facial Animation from Raw Waveforms of Speech. CoRR abs/1710.00920 (2017) - [i11]Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation. CoRR abs/1710.03354 (2017) - 2016
- [j27]Shahriar Shariat, Vladimir Pavlovic
:
Robust time-series retrieval using probabilistic adaptive segmental alignment. Knowl. Inf. Syst. 49(1): 91-119 (2016) - [c95]Hai Xuan Pham, Vladimir Pavlovic
:
Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation. 3DV 2016: 441-449 - [c94]Changkyu Song, Sejong Yoon, Vladimir Pavlovic
:
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. AAAI 2016: 753-759 - [c93]Behnam Gholami, Sejong Yoon, Vladimir Pavlovic
:
Decentralized Approximate Bayesian Inference for Distributed Sensor Network. AAAI 2016: 1582-1588 - [c92]Robert Walecki, Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic
, Jeffrey F. Cohn:
A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity. CVPR Workshops 2016: 1460-1468 - [c91]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
, Maja Pantic:
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity. CVPR 2016: 4902-4910 - [c90]Jongpil Kim, Vladimir Pavlovic:
A Shape-Based Approach for Salient Object Detection Using Deep Learning. ECCV (4) 2016: 455-470 - [c89]Jongpil Kim, Vladimir Pavlovic
:
A shape preserving approach for salient object detection using convolutional neural networks. ICPR 2016: 609-614 - [c88]Jongpil Kim, Vladimir Pavlovic
:
Discovering characteristic landmarks on ancient coins using convolutional networks. ICPR 2016: 1595-1600 - [c87]Hai Xuan Pham, Vladimir Pavlovic
, Jianfei Cai
, Tat-Jen Cham
:
Robust real-time performance-driven 3D face tracking. ICPR 2016: 1851-1856 - [c86]Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic
:
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops 2016: 1-9 - [i10]Shahriar Shariat, Vladimir Pavlovic:
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment. CoRR abs/1609.08201 (2016) - 2015
- [j26]Ognjen Rudovic, Vladimir Pavlovic
, Maja Pantic:
Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 944-958 (2015) - [c85]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
, Maja Pantic:
Variable-state latent conditional random fields for facial expression recognition and action unit detection. FG 2015: 1-8 - [c84]Saehoon Yi, Vladimir Pavlovic
:
Multi-cue Structure Preserving MRF for Unconstrained Video Segmentation. ICCV 2015: 3262-3270 - [c83]