| 2025 | ICCV | 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 |
| 2025 | ICLR | GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs. | Kalliopi Basioti, Pritish Sahu, Tony Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic |
| 2025 | WACV | 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 N. Metaxas |
| 2024 | CVPR | 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 |
| 2024 | ECCV | CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation. | Kalliopi Basioti, Mohamed A. Abdelsalam, Federico Fancellu, Vladimir Pavlovic, Afsaneh Fazly |
| 2024 | ICPR | Box2Flow: Instance-Based Action Flow Graphs from Videos. | Jiatong Li, Kalliopi Basioti, Vladimir Pavlovic |
| 2024 | ICPR | TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. | Tony Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic |
| 2023 | CHI | Identifying Multimodal Context Awareness Requirements for Supporting User Interaction with Procedural Videos. | Georgianna Lin, Jin Yi Li, Afsaneh Fazly, Vladimir Pavlovic, Khai N. Truong |
| 2023 | ICCV | 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 |
| 2023 | ICCV | ALWOD: Active Learning for Weakly-Supervised Object Detection. | Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisacanin, Vladimir Pavlovic |
| 2023 | ICML | NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. | Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz |
| 2023 | WACV | D | Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic |
| 2022 | AAAI | Cross-Modal Coherence for Text-to-Image Retrieval. | Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone |
| 2022 | AISTATS | Variational Continual Proxy-Anchor for Deep Metric Learning. | Minyoung Kim, Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic |
| 2022 | CoNLL | Visual Semantic Parsing: From Images to Abstract Meaning Representation. | Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu, Kalliopi Basioti, Dhaivat Bhatt, Vladimir Pavlovic, Afsaneh Fazly |
| 2022 | CVPR | 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 |
| 2022 | ECCV | HM: Hybrid Masking for Few-Shot Segmentation. | Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia |
| 2022 | ICML | NP-Match: When Neural Processes meet Semi-Supervised Learning. | Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou |
| 2022 | ICPR | DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling. | Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic |
| 2022 | IJCAI | 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 |
| 2021 | AAAI | CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. | Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li |
| 2021 | BMVC | Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. | Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic |
| 2021 | CVPR | Private-Shared Disentangled Multimodal VAE for Learning of Latent Representations. | Mihee Lee, Vladimir Pavlovic |
| 2021 | MIG | A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction. | Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2020 | ECCV | Laying the Foundations of Deep Long-Term Crowd Flow Prediction. | Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2020 | ICDM | Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. | Minyoung Kim, Vladimir Pavlovic |
| 2020 | ICPR | Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. | Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic |
| 2020 | WACV | CookGAN: Meal Image Synthesis from Ingredients. | Fangda Han, Ricardo Guerrero, Vladimir Pavlovic |
| 2019 | CVPR | Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. | Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic |
| 2019 | ICCV | Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. | Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic |
| 2019 | IJCAI | Sequential Dependence and Non-linearity in Affective Responses: a Skin Conductance Example. | Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic |
| 2019 | IJCNN | Efficient Deep Gaussian Process Models for Variable-Sized Inputs. | Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim |
| 2019 | MIG | Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. | Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic |
| 2018 | AAAI | The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. | Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic |
| 2018 | ICMI | End-to-end Learning for 3D Facial Animation from Speech. | Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic |
| 2018 | UAI | Variational Inference for Gaussian Process Models for Survival Analysis. | Minyoung Kim, Vladimir Pavlovic |
| 2017 | CVPR | Probabilistic Temporal Subspace Clustering. | Behnam Gholami, Vladimir Pavlovic |
| 2017 | CVPR | Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach. | Hai Xuan Pham, Samuel Cheung, Vladimir Pavlovic |
| 2017 | CVPR | A Generative Model for Depth-Based Robust 3D Facial Pose Tracking. | Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan |
| 2017 | CVPR | Deep Structured Learning for Facial Action Unit Intensity Estimation. | Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Bjrn W. Schuller, Maja Pantic |
| 2017 | ICCV | PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories. | Behnam Gholami, Ognjen Rudovic, Vladimir Pavlovic |
| 2017 | MIG | Characterizing the relationship between environment layout and crowd movement using machine learning. | Weining Liu, Vladimir Pavlovic, Kaidong Hu, Petros Faloutsos, Sejong Yoon, Mubbasir Kapadia |
| 2016 | AAAI | Decentralized Approximate Bayesian Inference for Distributed Sensor Network. | Behnam Gholami, Sejong Yoon, Vladimir Pavlovic |
| 2016 | AAAI | Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. | Changkyu Song, Sejong Yoon, Vladimir Pavlovic |
| 2016 | CVPR | Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity. | Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic |
| 2016 | CVPR | A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity. | Robert Walecki, Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic, Jeffrey F. Cohn |
| 2016 | ECCV | A Shape-Based Approach for Salient Object Detection Using Deep Learning. | Jongpil Kim, Vladimir Pavlovic |
| 2016 | ICPR | A shape preserving approach for salient object detection using convolutional neural networks. | Jongpil Kim, Vladimir Pavlovic |
| 2016 | ICPR | Discovering characteristic landmarks on ancient coins using convolutional networks. | Jongpil Kim, Vladimir Pavlovic |
| 2016 | ICPR | Robust real-time performance-driven 3D face tracking. | Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, Tat-Jen Cham |
| 2016 | WACV | Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. | Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic |
| 2015 | ICCV | Multi-cue Structure Preserving MRF for Unconstrained Video Segmentation. | Saehoon Yi, Vladimir Pavlovic |
| 2014 | ACCV | Depth Recovery with Face Priors. | Chongyu Chen, Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, Guangming Shi |
| 2014 | ECCV | Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding. | Jongpil Kim, Vladimir Pavlovic |
| 2014 | ICPR | Ancient Coin Recognition Based on Spatial Coding. | Jongpil Kim, Vladimir Pavlovic |
| 2014 | ICPR | Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences. | Hai Xuan Pham, Vladimir Pavlovic |
| 2014 | ICPR | Pose Invariant Activity Classification for Multi-floor Indoor Localization. | Saehoon Yi, Piotr Mirowski, Tin Kam Ho, Vladimir Pavlovic |
| 2014 | ISVC | Personalized Modeling of Facial Action Unit Intensity. | Shuang Yang, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic |
| 2013 | ICCV | A New Adaptive Segmental Matching Measure for Human Activity Recognition. | Shahriar Shariat, Vladimir Pavlovic |
| 2013 | ISVC | Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields. | Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic |
| 2012 | BMVC | Structured Learning for Multiple Object Tracking. | Wang Yan, Xiaoye Han, Vladimir Pavlovic |
| 2012 | CVPR | Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation. | Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic |
| 2012 | ECCV | Dynamic Probabilistic CCA for Analysis of Affective Behaviour. | Mihalis A. Nicolaou, Vladimir Pavlovic, Maja Pantic |
| 2012 | ECCV | Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units. | Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic |
| 2012 | ICMLA | Analysis of Causality in Stock Market Data. | Chathra Hendahewa, Vladimir Pavlovic |
| 2012 | ICPR | Attribute rating for classification of visual objects. | Jongpil Kim, Vladimir Pavlovic |
| 2012 | ICPR | Sparse Granger causality graphs for human action classification. | Saehoon Yi, Vladimir Pavlovic |
| 2012 | KDD | Efficient evaluation of large sequence kernels. | Pavel P. Kuksa, Vladimir Pavlovic |
| 2012 | SDM | Generalized Similarity Kernels for Efficient Sequence Classification. | Pavel P. Kuksa, Imdadullah Khan, Vladimir Pavlovic |
| 2011 | ICCV | Isotonic CCA for sequence alignment and activity recognition. | Shahriar Shariat, Vladimir Pavlovic |
| 2011 | ICIP | A Belief Propagation algorithm for bias field estimation and image segmentation. | Rui Huang, Nong Sang, Vladimir Pavlovic, Dimitris N. Metaxas |
| 2010 | ECCV | Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction. | Minyoung Kim, Vladimir Pavlovic |
| 2010 | ICPR | Reinforcement Learning for Robust and Efficient Real-World Tracking. | Andre Cohen, Vladimir Pavlovic |
| 2010 | ICPR | Spatial Representation for Efficient Sequence Classification. | Pavel P. Kuksa, Vladimir Pavlovic |
| 2008 | CVPR | Face tracking and recognition with visual constraints in real-world videos. | Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley |
| 2008 | CVPR | Dimensionality reduction using covariance operator inverse regression. | Minyoung Kim, Vladimir Pavlovic |
| 2008 | ECCV | A New Baseline for Image Annotation. | Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar |
| 2008 | ICPR | Fast protein homology and fold detection with sparse spatial sample kernels. | Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic |
| 2007 | CVPR | Discriminative Learning of Dynamical Systems for Motion Tracking. | Minyoung Kim, Vladimir Pavlovic |
| 2007 | ICCV | Embedded Profile Hidden Markov Models for Shape Analysis. | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas |
| 2007 | ICCV | Conditional State Space Models for Discriminative Motion Estimation. | Minyoung Kim, Vladimir Pavlovic |
| 2007 | ICML | A recursive method for discriminative mixture learning. | Minyoung Kim, Vladimir Pavlovic |
| 2007 | WABI | Fast Kernel Methods for SVM Sequence Classifiers. | Pavel P. Kuksa, Vladimir Pavlovic |
| 2006 | CVPR | Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification. | Minyoung Kim, Vladimir Pavlovic |
| 2006 | CVPR | Impact of Dynamics on Subspace Embedding and Tracking of Sequences. | Kooksang Moon, Vladimir Pavlovic |
| 2006 | ICDM | Sparse Logistic Classifiers for Interpretable Protien Homology Detection. | Pai-Hsi Huang, Vladimir Pavlovic |
| 2006 | ICIP | A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape. | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas |
| 2005 | CVPR | Estimation of Human Figure Motion Using Robust Tracking of Articulated Layers. | Kooksang Moon, Vladimir Pavlovic |
| 2005 | ICML | Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. | Yushi Jing, Vladimir Pavlovic, James M. Rehg |
| 2004 | CVPR | Outlier Rejection in Deformable Model Tracking. | Siome Goldenstein, Christian Vogler, Jorge Stolfi, Vladimir Pavlovic, Dimitris N. Metaxas |
| 2004 | CVPR | A Graphical Model Framework for Coupling MRFs and Deformable Models. | Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas |
| 2004 | CVPR | Model-Based Motion Clustering Using Boosted Mixture Modeling. | Vladimir Pavlovic |
| 2004 | ICPR | A Hybrid Face Recognition Method using Markov Random Fields. | Rui Huang, Dimitris N. Metaxas, Vladimir Pavlovic |
| 2003 | CVPR | Discovering Clusters in Motion Time-Series Data. | Jonathan Alon, Stan Sclaroff, George Kollios, Vladimir Pavlovic |
| 2002 | ICPR | Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection. | Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovic, Alex Pentland |
| 2002 | ICPR | Bayesian Networks as Ensemble of Classifiers. | Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang |
| 2000 | CVPR | Impact of Dynamic Model Learning on Classification of Human Motion. | Vladimir Pavlovic, James M. Rehg |
| 2000 | CVPR | Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. | Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang |
| 2000 | ICMI | Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. | Vladimir Pavlovic, Ashutosh Garg, James M. Rehg |
| 1999 | CVPR | Time-Series Classification Using Mixed-State Dynamic Bayesian Networks. | Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang |
| 1999 | ICCV | A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. | Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy |
| 1999 | UAI | Variational Learning in Mixed-State Dynamic Graphical Models. | Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang |
| 1998 | ICIP | Multimodal Tracking and Classification of Audio-Visual Features. | Vladimir Pavlovic |
| 1997 | ICIP | Integration of Audio/Visual Information for Use in Human-Computer Intelligent Interaction. | Vladimir Pavlovic, G. A. Berry, Thomas S. Huang |
| 1996 | ICIP | Transform image coding based on joint adaptation of filter banks and tree structures. | Pierre Moulin, Kannan Ramchandran, Vladimir Pavlovic |