Vladimir Pavlovic

ORCID

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 80

Top Venues

Publications

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 (2022)
Minyoung Kim, Vladimir Pavlovic
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach. CoRR (2021)
Mihee Lee, Vladimir Pavlovic
Private-Shared Disentangled Multimodal VAE for Learning of Latent Representations. CVPR Workshops (2021)
Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone
Cross-Modal Coherence for Text-to-Image Retrieval. CoRR (2021)
Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. AAAI (2021)
Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. ACM Multimedia (2021)
Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. CoRR (2021)
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)
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)
Pritish Sahu, Vladimir Pavlovic
DAReN: A Collaborative Approach Towards Reasoning And Disentangling. CoRR (2021)
Hai Xuan Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. CoRR (2021)
Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
CookGAN: Meal Image Synthesis from Ingredients. WACV (2020)
Minyoung Kim, Vladimir Pavlovic
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. CoRR (2020)
Minyoung Kim, Vladimir Pavlovic
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. ICDM (2020)
Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
CookGAN: Meal Image Synthesis from Ingredients. CoRR (2020)
Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. CoRR (2020)
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)
Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia
Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. Comput. Graph. 88 (2020)
Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. ICPR (2020)
Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs. CoRR (2020)
Minyoung Kim, Vladimir Pavlovic
Recursive Inference for Variational Autoencoders. NeurIPS (2020)
Minyoung Kim, Vladimir Pavlovic
Recursive Inference for Variational Autoencoders. CoRR (2020)
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) (2020)
Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. CoRR (2020)
Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. IEEE Trans. Image Process. 29 (2020)
Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic
Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace. CoRR (2020)
Mihee Lee, Vladimir Pavlovic
Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations. CoRR (2020)
Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. CoRR (2019)
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 (2019)
Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. ICCV Workshops (2019)
Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Sequential Dependence and Non-linearity in Affective Responses: a Skin Conductance Example. AffComp@IJCAI (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Relevance Factor VAE: Learning and Identifying Disentangled Factors. CoRR (2019)
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) (2019)
Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
Efficient Deep Gaussian Process Models for Variable-Sized Input. CoRR (2019)
Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CoRR (2019)
Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan
Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking. CoRR (2019)
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Deep Crowd-Flow Prediction in Built Environments. CoRR (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. CoRR (2019)
Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
The Art of Food: Meal Image Synthesis from Ingredients. CoRR (2019)
Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. MADiMa @ ACM Multimedia (2019)
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. MIG (2019)
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. CoRR (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. ICCV (2019)
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) (2019)
Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model. CoRR (2019)
Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
Efficient Deep Gaussian Process Models for Variable-Sized Inputs. IJCNN (2019)
Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. CoRR (2019)
Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CVPR (2019)
Minyoung Kim, Vladimir Pavlovic
Variational Inference for Gaussian Process Models for Survival Analysis. UAI (2018)
Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. CoRR (2018)
Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic
End-to-end Learning for 3D Facial Animation from Speech. ICMI (2018)
Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. AAAI (2018)
Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network. CoRR (2018)
Hai Xuan Pham, Samuel Cheung, Vladimir Pavlovic
Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach. CVPR Workshops (2017)
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)
Behnam Gholami, Ognjen Rudovic, Vladimir Pavlovic
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories. ICCV (2017)
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Variable-state Latent Conditional Random Field models for facial expression analysis. Image Vis. Comput. 58 (2017)
Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic
End-to-end Learning for 3D Facial Animation from Raw Waveforms of Speech. CoRR (2017)
Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation. CoRR (2017)
Jongpil Kim, Vladimir Pavlovic
Discovering characteristic landmarks on ancient coins using convolutional networks. J. Electronic Imaging 26 (1) (2017)
Long Zhao, Fangda Han, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas
Sketch-based Face Editing in Video Using Identity Deformation Transfer. CoRR (2017)
Cuong D. Tran, Ognjen (Oggi) Rudovic, Vladimir Pavlovic
Unsupervised domain adaptation with copula models. MLSP (2017)
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Björn W. Schuller, Maja Pantic
Deep Structured Learning for Facial Action Unit Intensity Estimation. CoRR (2017)
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Björn W. Schuller, Maja Pantic
Deep Structured Learning for Facial Action Unit Intensity Estimation. CVPR (2017)
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 (2017)
Behnam Gholami, Vladimir Pavlovic
Probabilistic Temporal Subspace Clustering. CVPR (2017)
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)
Cuong D. Tran, Ognjen Rudovic, Vladimir Pavlovic
Unsupervised Domain Adaptation with Copula Models. CoRR (2017)
Jongpil Kim, Vladimir Pavlovic
A Shape-Based Approach for Salient Object Detection Using Deep Learning. ECCV (4) (2016)
Hai Xuan Pham, Vladimir Pavlovic
Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation. 3DV (2016)
Jongpil Kim, Vladimir Pavlovic
A shape preserving approach for salient object detection using convolutional neural networks. ICPR (2016)
Shahriar Shariat, Vladimir Pavlovic
Robust time-series retrieval using probabilistic adaptive segmental alignment. Knowl. Inf. Syst. 49 (1) (2016)
Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, Tat-Jen Cham
Robust real-time performance-driven 3D face tracking. ICPR (2016)
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity. CVPR (2016)
Behnam Gholami, Sejong Yoon, Vladimir Pavlovic
Decentralized Approximate Bayesian Inference for Distributed Sensor Network. AAAI (2016)
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)
Changkyu Song, Sejong Yoon, Vladimir Pavlovic
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. AAAI (2016)
Jongpil Kim, Vladimir Pavlovic
Discovering characteristic landmarks on ancient coins using convolutional networks. ICPR (2016)
Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops (2016)
Shahriar Shariat, Vladimir Pavlovic
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment. CoRR (2016)
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Variable-state latent conditional random fields for facial expression recognition and action unit detection. FG (2015)
Changkyu Song, Sejong Yoon, Vladimir Pavlovic
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. CoRR (2015)
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection. CoRR (2015)
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) (2015)
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM. CoRR (2015)
Saehoon Yi, Vladimir Pavlovic
Multi-Cue Structure Preserving MRF for Unconstrained Video Segmentation. CoRR (2015)
Hai Xuan Pham, Chongyu Chen, Luc N. Dao, Vladimir Pavlovic, Jianfei Cai, Tat-Jen Cham
Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes. CoRR (2015)
Chintan A. Dalal, Vladimir Pavlovic, Robert E. Kopp
Intrinsic Non-stationary Covariance Function for Climate Modeling. CoRR (2015)
Jongpil Kim, Vladimir Pavlovic
Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks. CoRR (2015)
Saehoon Yi, Vladimir Pavlovic
Multi-cue Structure Preserving MRF for Unconstrained Video Segmentation. ICCV (2015)
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
Mean field variational inference using bregman ADMM for distributed camera network. ICDSC (2015)
Sejong Yoon, Vladimir Pavlovic
Sentiment Flow for Video Interestingness Prediction. HuEvent@MM (2014)
Chongyu Chen, Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, Guangming Shi
Depth Recovery with Face Priors. ACCV (4) (2014)
Mihalis A. Nicolaou, Vladimir Pavlovic, Maja Pantic
Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations. IEEE Trans. Pattern Anal. Mach. Intell. 36 (7) (2014)
Hai Xuan Pham, Vladimir Pavlovic
Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences. ICPR (2014)
Shuang Yang, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Personalized Modeling of Facial Action Unit Intensity. ISVC (2) (2014)
Saehoon Yi, Piotr Mirowski, Tin Kam Ho, Vladimir Pavlovic
Pose Invariant Activity Classification for Multi-floor Indoor Localization. ICPR (2014)
Jongpil Kim, Vladimir Pavlovic
Ancient Coin Recognition Based on Spatial Coding. ICPR (2014)
Jongpil Kim, Vladimir Pavlovic
Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding. ECCV Workshops (1) (2014)
Shahriar Shariat, Vladimir Pavlovic
A New Adaptive Segmental Matching Measure for Human Activity Recognition. ICCV (2013)

Vladimir Pavlovic.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Vladimir Pavlovic