Vladimir Pavlovic
33 papers · 2008–2025 · 13 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (13)
π
Academic Marathon
(17)
πΊοΈ
Taxonomy Completionist
(13)
π
Interdisciplinary Bridge
π
Grand Slam
π±
Topic Pioneer
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(161)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(33)
π₯
Unstoppable
(7)
β‘
Prolific Year
(8)
Conferences
CVPR (7)
ICCV (7)
ECCV (3)
NIPS (3)
WACV (3)
AAAI (2)
ICML (2)
ACML (1)
AISTATS (1)
CONLL (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
multimodal learning
(3)
attention mechanism
(3)
variational autoencoder
(3)
generative model
(3)
domain adaptation
(2)
synthetic datum
(2)
structured representation
(2)
ordinal regression
(2)
sequence classification
(2)
scene graph
(2)
multi-modal learning
(2)
semi-supervised learning
(2)
probabilistic model
(2)
human activity recognition
(2)
cross-modal learning
(2)
abstract meaning representation
(2)
probabilistic modeling
(2)
trajectory prediction
(2)
sequence alignment
(2)
conditional random field
(2)
Papers
Hallucinatory Image Tokens: A Training-free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs
ICCV 2025
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models
WACV 2025
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
ICLR 2025
Learning from Synthetic Human Group Activities
CVPR 2024
CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation
ECCV 2024
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
ICML 2023
MSI: Maximize Support-Set Information for Few-Shot Segmentation
ICCV 2023
D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation
WACV 2023
ALWOD: Active Learning for Weakly-Supervised Object Detection
ICCV 2023
HM: Hybrid Masking for Few-Shot Segmentation
ECCV 2022
Cross-Modal Coherence for Text-to-Image Retrieval
AAAI 2022
Variational Continual Proxy-Anchor for Deep Metric Learning
AISTATS 2022
Visual Semantic Parsing: From Images to Abstract Meaning Representation
CONLL 2022
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
CVPR 2022
Visual Semantic Parsing: From Images to Abstract Meaning Representation
EMNLP 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning
ICML 2022
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction
IJCAI 2022
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
AAAI 2021
CookGAN: Meal Image Synthesis from Ingredients
WACV 2020
Laying the Foundations of Deep Long-Term Crowd Flow Prediction
ECCV 2020
Recursive Inference for Variational Autoencoders
NIPS 2020
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
ICCV 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
CVPR 2019
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories
ICCV 2017
Deep Structured Learning for Facial Action Unit Intensity Estimation
CVPR 2017
Probabilistic Temporal Subspace Clustering
CVPR 2017
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking
CVPR 2017
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity
CVPR 2016
Multi-Cue Structure Preserving MRF for Unconstrained Video Segmentation
ICCV 2015
A New Adaptive Segmental Matching Measure for Human Activity Recognition
ICCV 2013
Improved Sequence Classification Using Adaptive Segmental Sequence Alignment
ACML 2012
Distributed Probabilistic Learning for Camera Networks with Missing Data
NIPS 2012
Scalable Algorithms for String Kernels with Inexact Matching
NIPS 2008