Jojic, Nebojsa

66 publications

NeurIPS 2025 Fast Constrained Sampling in Pre-Trained Diffusion Models Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras

ICLRW 2024 GPT Is Becoming a Turing Machine: Here Are Some Ways to Program It Ana Jojic, Zhen Wang, Nebojsa Jojic

ICLR 2024 PromptAgent: Strategic Planning with Language Models Enables Expert-Level Prompt Optimization Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric Xing, Zhiting Hu

ICML 2024 Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling Weijia Xu, Andrzej Banburski, Nebojsa Jojic

NeurIPS 2023 Evaluating Cognitive Maps and Planning in Large Language Models with CogEval Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Ness, Jonathan Larson

NeurIPS 2022 Diffusion Models as Plug-and-Play Priors Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras

UAI 2022 Resolving Label Uncertainty with Implicit Posterior Models Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic

CVPR 2021 Multi-Label Learning from Single Positive Labels Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic

ICLR 2020 FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang

AAAI 2020 Human-Machine Collaboration for Fast Land Cover Mapping Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic

ECCV 2020 Mining Self-Similarity: Label Super-Resolution with Epitomic Representations Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic

ICLR 2019 Label Super-Resolution Networks Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa, Nebojsa Jojic

ICML 2018 WSNet: Compact and Efficient Networks Through Weight Sampling Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan

CVPR 2017 ER3: A Unified Framework for Event Retrieval, Recognition and Recounting Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng

ICCV 2017 Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-Sample Image Sequences Alessandro Perina, Sadegh Mohammadi, Nebojsa Jojic, Vittorio Murino

UAI 2016 Hierarchical Learning of Grids of Microtopics Nebojsa Jojic, Alessandro Perina, Dongwoo Kim

NeurIPS 2016 Iterative Refinement of the Approximate Posterior for Directed Belief Networks Devon Hjelm, Ruslan Salakhutdinov, Kyunghyun Cho, Nebojsa Jojic, Vince Calhoun, Junyoung Chung

ECCV 2016 ℓ 0 ℓ 0 -Sparse Subspace Clustering Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang

NeurIPS 2013 A Comparative Framework for Preconditioned Lasso Algorithms Fabian L. Wauthier, Nebojsa Jojic, Michael I Jordan

CVPR 2013 Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid Alessandro Perina, Nebojsa Jojic

NeurIPS 2013 Documents as Multiple Overlapping Windows into Grids of Counts Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski

ICML 2013 Efficient Ranking from Pairwise Comparisons Fabian Wauthier, Michael Jordan, Nebojsa Jojic

ECCV 2012 Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints Alessandro Perina, Nebojsa Jojic

CVPR 2011 Image Analysis by Counting on a Grid Alessandro Perina, Nebojsa Jojic

UAI 2011 Multidimensional Counting Grids: Inferring Word Order from Disordered Bags of Words Nebojsa Jojic, Alessandro Perina

NeurIPS 2010 Exact Inference and Learning for Cumulative Distribution Functions on Loopy Graphs Nebojsa Jojic, Chris Meek, Jim C. Huang

AISTATS 2010 Maximum-Likelihood Learning of Cumulative Distribution Functions on Graphs Jim Huang, Nebojsa Jojic

ECCV 2010 Object Recognition with Hierarchical Stel Models Alessandro Perina, Nebojsa Jojic, Umberto Castellani, Marco Cristani, Vittorio Murino

NeurIPS 2010 Structural Epitome: A Way to Summarize One’s Visual Experience Nebojsa Jojic, Alessandro Perina, Vittorio Murino

ICCV 2009 A Hybrid Generative/discriminative Classification Framework Based on Free-Energy Terms Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic

NeurIPS 2009 Free Energy Score Space Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic

CVPR 2009 Stel Component Analysis: Modeling Spatial Correlations in Image Class Structure Nebojsa Jojic, Alessandro Perina, Marco Cristani, Vittorio Murino, Brendan J. Frey

CVPR 2007 Capturing Long-Range Correlations with Patch Models Vincent Cheung, Nebojsa Jojic, Dimitris Samaras

UAI 2007 Discovering Patterns in Biological Sequences by Optimal Segmentation Joseph Bockhorst, Nebojsa Jojic

CVPR 2006 Escaping Local Minima Through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick

CVPR 2006 Recursive Estimation of Generative Models of Video Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic

ICCV 2005 Consistent Segmentation for Optical Flow Estimation C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang

AISTATS 2005 Deformable Spectrograms Manuel Reyes-Gomez, Nebojsa Jojic, Daniel Ellis

AISTATS 2005 Generative Model for Layers of Appearance and Deformation Anitha Kannan, Nebojsa Jojic, Brendan Frey

CVPR 2005 Interactive Montages of Sprites for Indexing and Summarizing Security Video Chris Pal, Nebojsa Jojic

ICCV 2005 LOCUS: Learning Object Classes with Unsupervised Segmentation John M. Winn, Nebojsa Jojic

NeurIPS 2005 Q-Clustering Mukund Narasimhan, Nebojsa Jojic, Jeff A. Bilmes

NeurIPS 2005 Using ``epitomes'' to Model Genetic Diversity: Rational Design of HIV Vaccine Cocktails Nebojsa Jojic, Vladimir Jojic, Christopher Meek, David Heckerman, Brendan J. Frey

CVPR 2005 Video Epitomes Vincent Cheung, Brendan J. Frey, Nebojsa Jojic

CVPR 2004 Capturing Image Structure with Probabilistic Index Maps Nebojsa Jojic, Yaron Caspi

UAI 2004 Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences Nebojsa Jojic, Vladimir Jojic, David Heckerman

UAI 2004 Probabilistic Index Maps for Modeling Natural Signals Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez

CVPR 2004 Probability Models for High Dynamic Range Imaging Chris Pal, Richard Szeliski, Matthew Uyttendaele, Nebojsa Jojic

ICCV 2003 Epitomic Analysis of Appearance and Shape Nebojsa Jojic, Brendan J. Frey, Anitha Kannan

CVPR 2003 Learning Appearance and Transparency Manifolds of Occluded Objects in Layers Brendan J. Frey, Nebojsa Jojic, Anitha Kannan

AISTATS 2003 Real-Time On-Line Learning of Transformed Hidden Markov Models from Video Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S. Huang

ECCV 2002 Audio-Video Sensor Fusion with Probabilistic Graphical Models Matthew J. Beal, Hagai Attias, Nebojsa Jojic

NeurIPS 2002 Fast Transformation-Invariant Factor Analysis Anitha Kannan, Nebojsa Jojic, Brendan Frey

ECCV 2002 Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance Chris Pal, Brendan J. Frey, Nebojsa Jojic

NeurIPS 2001 Fast, Large-Scale Transformation-Invariant Clustering Brendan J. Frey, Nebojsa Jojic

CVPR 2001 Learning Flexible Sprites in Video Layers Nebojsa Jojic, Brendan J. Frey

AISTATS 2001 Learning Mixtures of Smooth, Nonuniform Deformation Models for Probabilistic Image Matching Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman

NeurIPS 2001 Product Analysis: Learning to Model Observations as Products of Hidden Variables Brendan J. Frey, Anitha Kannan, Nebojsa Jojic

ICCV 2001 Separating Appearance from Deformation Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman

UAI 2000 Learning Graphical Models of Images, Videos and Their Spatial Transformations Brendan J. Frey, Nebojsa Jojic

CVPR 2000 Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequence Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang, Brendan J. Frey

CVPR 1999 Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm Brendan J. Frey, Nebojsa Jojic

NeurIPS 1999 Topographic Transformation as a Discrete Latent Variable Nebojsa Jojic, Brendan J. Frey

ICCV 1999 Tracking Self-Occluding Articulated Objects in Dense Disparity Maps Nebojsa Jojic, Matthew Turk, Thomas S. Huang

ICCV 1999 Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components Brendan J. Frey, Nebojsa Jojic

CVPR 1998 Computer Modeling, Analysis and Synthesis of Dressed Humans Nebojsa Jojic, Jin Gu, Ivan Mak, Helen C. Shen, Thomas S. Huang