Pavlovic, Vladimir

78 publications

ICLR 2025 GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs Kalliopi Basioti, Pritish Sahu, Tony Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic

ICCV 2025 Hallucinatory Image Tokens: A Training-Free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs Liwei Che, Tony Qingze Liu, Jing Jia, Weiyi Qin, Ruixiang Tang, Vladimir Pavlovic

WACV 2025 SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Vladimir Pavlovic, Hao Wang, Molei Tao, Dimitris Metaxas

ECCV 2024 CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation Kalliopi Basioti, Mohamed A Abdelsalam, Federico Fancellu, Vladimir Pavlovic, Afsaneh Fazly

CVPR 2024 Learning from Synthetic Human Group Activities Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

ICCV 2023 ALWOD: Active Learning for Weakly-Supervised Object Detection Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisačanin, Vladimir Pavlovic

WACV 2023 D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic

ICCV 2023 MSI: Maximize Support-Set Information for Few-Shot Segmentation Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

ICML 2023 NP-SemiSeg: When Neural Processes Meet Semi-Supervised Semantic Segmentation Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz

AISTATS 2022 Variational Continual Proxy-Anchor for Deep Metric Learning Minyoung Kim, Ricardo Guerrero, Hai X. Pham, Vladimir Pavlovic

AAAI 2022 Cross-Modal Coherence for Text-to-Image Retrieval Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone

ECCV 2022 HM: Hybrid Masking for Few-Shot Segmentation Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

IJCAI 2022 Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

CVPR 2022 MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic

ICML 2022 NP-Match: When Neural Processes Meet Semi-Supervised Learning Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou

ECML-PKDD 2022 SAViR-T: Spatially Attentive Visual Reasoning with Transformers Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic

AAAI 2021 CHEF: Cross-Modal Hierarchical Embeddings for Food Domain Retrieval Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li

CVPRW 2021 Private-Shared Disentangled Multimodal VAE for Learning of Latent Representations Mihee Lee, Vladimir Pavlovic

WACV 2020 CookGAN: Meal Image Synthesis from Ingredients Fangda Han, Ricardo Guerrero, Vladimir Pavlovic

ECCV 2020 Laying the Foundations of Deep Long-Term Crowd Flow Prediction Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

NeurIPS 2020 Recursive Inference for Variational Autoencoders Minyoung Kim, Vladimir Pavlovic

ICCVW 2019 Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic

AAAI 2018 The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic

UAI 2018 Variational Inference for Gaussian Process Models for Survival Analysis Minyoung Kim, Vladimir Pavlovic

CVPR 2017 A Generative Model for Depth-Based Robust 3D Facial Pose Tracking Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan

CVPR 2017 Deep Structured Learning for Facial Action Unit Intensity Estimation Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Bjoern Schuller, Maja Pantic

ICCV 2017 PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories Behnam Gholami, Ognjen Rudovic, Vladimir Pavlovic

CVPR 2017 Probabilistic Temporal Subspace Clustering Behnam Gholami, Vladimir Pavlovic

CVPRW 2017 Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach Hai Xuan Pham, Samuel Cheung, Vladimir Pavlovic

CVPRW 2016 A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity Robert Walecki, Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic, Jeffrey F. Cohn

ECCV 2016 A Shape-Based Approach for Salient Object Detection Using Deep Learning Jongpil Kim, Vladimir Pavlovic

CVPR 2016 Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic

AAAI 2016 Decentralized Approximate Bayesian Inference for Distributed Sensor Network Behnam Gholami, Sejong Yoon, Vladimir Pavlovic

AAAI 2016 Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty Changkyu Song, Sejong Yoon, Vladimir Pavlovic

WACVW 2016 Filling in the Blanks: Reconstructing Microscopic Crowd Motion from Multiple Disparate Noisy Sensors Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic

ICCV 2015 Multi-Cue Structure Preserving MRF for Unconstrained Video Segmentation Saehoon Yi, Vladimir Pavlovic

ECCVW 2014 Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding Jongpil Kim, Vladimir Pavlovic

ICCV 2013 A New Adaptive Segmental Matching Measure for Human Activity Recognition Shahriar Shariat, Vladimir Pavlovic

ICCVW 2013 Categorization of Underwater Habitats Using Dynamic Video Textures Jun Hu, Han Zhang, Anastasia Miliou, Thodoris Tsimpidis, Hazel Thornton, Vladimir Pavlovic

ICCVW 2013 Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic

ICCVW 2013 Spatio-Temporal Context Modeling for BoW-Based Video Classification Saehoon Yi, Vladimir Pavlovic

NeurIPS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data Sejong Yoon, Vladimir Pavlovic

ECCV 2012 Dynamic Probabilistic CCA for Analysis of Affective Behaviour Mihalis A. Nicolaou, Vladimir Pavlovic, Maja Pantic

ACML 2012 Improved Sequence Classification Using Adaptive Segmental Sequence Alignment Shahriar Shariat, Vladimir Pavlovic

ECCV 2012 Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic

ECCVW 2012 Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic

CVPR 2012 Multi-Output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic

ICCV 2011 Isotonic CCA for Sequence Alignment and Activity Recognition Shahriar Shariat, Vladimir Pavlovic

ECML-PKDD 2010 Hidden Conditional Ordinal Random Fields for Sequence Classification Minyoung Kim, Vladimir Pavlovic

ECML-PKDD 2010 Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning

ECCV 2010 Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction Minyoung Kim, Vladimir Pavlovic

AISTATS 2009 Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings Minyoung Kim, Vladimir Pavlovic

ECCV 2008 A New Baseline for Image Annotation Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar

MLJ 2008 Boosted Bayesian Network Classifiers Yushi Jing, Vladimir Pavlovic, James M. Rehg

CVPR 2008 Dimensionality Reduction Using Covariance Operator Inverse Regression Minyoung Kim, Vladimir Pavlovic

CVPR 2008 Face Tracking and Recognition with Visual Constraints in Real-World Videos Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley

NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching Pavel P. Kuksa, Pai-hsi Huang, Vladimir Pavlovic

ICML 2007 A Recursive Method for Discriminative Mixture Learning Minyoung Kim, Vladimir Pavlovic

ICCV 2007 Conditional State Space Models for Discriminative Motion Estimation Minyoung Kim, Vladimir Pavlovic

CVPR 2007 Discriminative Learning of Dynamical Systems for Motion Tracking Minyoung Kim, Vladimir Pavlovic

ICCV 2007 Embedded Profile Hidden Markov Models for Shape Analysis Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas

ECCV 2006 Computer Vision in Human-Computer Interaction, ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006, Proceedings Thomas S. Huang, Nicu Sebe, Michael S. Lew, Vladimir Pavlovic, Mathias Kölsch, Aphrodite Galata, Branislav Kisacanin

CVPR 2006 Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification Minyoung Kim, Vladimir Pavlovic

CVPR 2006 Impact of Dynamics on Subspace Embedding and Tracking of Sequences Kooksang Moon, Vladimir Pavlovic

ICML 2005 Efficient Discriminative Learning of Bayesian Network Classifier via Boosted Augmented Naive Bayes Yushi Jing, Vladimir Pavlovic, James M. Rehg

CVPR 2005 Estimation of Human Figure Motion Using Robust Tracking of Articulated Layers Kooksang Moon, Vladimir Pavlovic

CVPRW 2005 Estimation of Human Figure Motion Using Robust Tracking of Articulated Layers Kooksang Moon, Vladimir Pavlovic

CVPR 2004 A Graphical Model Framework for Coupling MRFs and Deformable Models Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas

CVPR 2004 Model-Based Motion Clustering Using Boosted Mixture Modeling Vladimir Pavlovic

CVPR 2004 Outlier Rejection in Deformable Model Tracking Siome Goldenstein, Christian Vogler, Jorge Stolfi, Vladimir Pavlovic, Dimitris N. Metaxas

CVPRW 2004 Outlier Rejection in Deformable Model Tracking Siome Goldenstein, Christian Vogler, Jorge Stolfi, Vladimir Pavlovic, Dimitris N. Metaxas

CVPR 2003 Discovering Clusters in Motion Time-Series Data Jonathan Alon, Stan Sclaroff, George Kollios, Vladimir Pavlovic

CVPR 2000 Impact of Dynamic Model Learning on Classification of Human Motion Vladimir Pavlovic, James M. Rehg

NeurIPS 2000 Learning Switching Linear Models of Human Motion Vladimir Pavlovic, James M. Rehg, John MacCormick

CVPR 2000 Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang

ICCV 1999 A Dynamic Bayesian Network Approach to Figure Tracking Using Learned Dynamic Models Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy

CVPR 1999 Time-Series Classification Using Mixed-State Dynamic Bayesian Networks Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang

UAI 1999 Variational Learning in Mixed-State Dynamic Graphical Models Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang