Nebojsa Jojic - RankMe

181 papers A* 31A 13B 9C 5Misc 6Journal 65Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge. EACL (Volume 1: Long Papers) Dwip Dalal, Utkarsh Mishra, Narendra Ahuja, Nebojsa Jojic
2025	J	`jnl`	City Navigation in the Wild: Exploring Emergent Navigation from Web-Scale Knowledge in MLLMs. CoRR Dwip Dalal, Utkarsh Mishra, Narendra Ahuja, Nebojsa Jojic
2025	J	`jnl`	Differentiable Channel Selection in Self-Attention For Person Re-Identification. CoRR Yancheng Wang, Nebojsa Jojic, Yingzhen Yang
2025	J	`jnl`	Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs. CoRR Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
2025	J	`jnl`	GenZ: Foundational models as latent variable generators within traditional statistical models. CoRR Marko Jojic, Nebojsa Jojic
2025	Misc	`conf`	Make Some Noise: Towards LLM audio reasoning and generation using sound tokens. ICASSP Shivam Mehta, Nebojsa Jojic, Hannes Gamper
2025	J	`jnl`	Make Some Noise: Towards LLM audio reasoning and generation using sound tokens. CoRR Shivam Mehta, Nebojsa Jojic, Hannes Gamper
2025	A*	`conf`	fLSA: Learning Semantic Structures in Document Collections Using Foundation Models. EMNLP Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
2024	J	`jnl`	Fast constrained sampling in pre-trained diffusion models. CoRR Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
2024	C	`conf`	GENEVA: GENErating and Visualizing branching narratives using LLMs. CoG Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
2024	J	`jnl`	Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers. CoRR Seyed Hossein Alavi, Weijia Xu, Nebojsa Jojic, Daniel Kennett, Raymond T. Ng, Sudha Rao, Haiyan Zhang, Bill Dolan, Vered Shwartz
2024	—	`conf`	Investigating Agency of LLMs in Human-AI Collaboration Tasks. EACL (1) Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan
2024	C	`conf`	Player-Driven Emergence in LLM-Driven Game Narrative. CoG Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Bill Dolan
2024	J	`jnl`	Player-Driven Emergence in LLM-Driven Game Narrative. CoRR Xiangyu Peng, Jessica Quaye, Weijia Xu, Chris Brockett, Bill Dolan, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Sudha Rao
2024	A*	`conf`	PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. ICLR Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
2024	A*	`conf`	Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. ICML Weijia Xu, Andrzej Banburski, Nebojsa Jojic
2024	J	`jnl`	fPLSA: Learning Semantic Structures in Document Collections Using Foundation Models. CoRR Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
2023	A*	`conf`	Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. NeurIPS Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson
2023	J	`jnl`	Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. CoRR Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
2023	J	`jnl`	GPT is becoming a Turing machine: Here are some ways to program it. CoRR Ana Jojic, Zhen Wang, Nebojsa Jojic
2023	J	`jnl`	GRIM: GRaph-based Interactive narrative visualization for gaMes. CoRR Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
2023	J	`jnl`	PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. CoRR Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
2023	J	`jnl`	Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. CoRR Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
2023	—	`conf`	ThinkSum: Probabilistic reasoning over sets using large language models. ACL (1) Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic
2023	J	`jnl`	Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks. CoRR Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan
2022	—	`conf`	Coherence boosting: When your pretrained language model is not paying enough attention. ACL (1) Nikolay Malkin, Zhen Wang, Nebojsa Jojic
2022	A*	`conf`	Diffusion Models as Plug-and-Play Priors. NeurIPS Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
2022	J	`jnl`	Diffusion models as plug-and-play priors. CoRR Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
2022	A	`conf`	Resolving label uncertainty with implicit posterior models. UAI Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
2022	J	`jnl`	Resolving label uncertainty with implicit posterior models. CoRR Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
2022	J	`jnl`	The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
2022	J	`jnl`	ThinkSum: Probabilistic reasoning over sets using large language models. CoRR Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic
2021	J	`jnl`	Boosting coherence of language models. CoRR Nikolay Malkin, Zhen Wang, Nebojsa Jojic
2021	J	`jnl`	Compositional Processing Emerges in Neural Networks Solving Math Problems. CoRR Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao
2021	B	`conf`	Compositional processing emerges in neural networks solving math problems. CogSci Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao
2021	C	`conf`	From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. IGARSS Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz
2021	—	`conf`	GPT Perdetry Test: Generating new meanings for new words. NAACL-HLT Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic
2021	J	`jnl`	Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
2021	J	`jnl`	High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. CoRR Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
2021	A*	`conf`	Multi-Label Learning From Single Positive Labels. CVPR Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
2021	J	`jnl`	Multi-Label Learning from Single Positive Labels. CoRR Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
2021	—	`conf`	Studying word order through iterative shuffling. EMNLP (1) Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic
2021	J	`jnl`	Studying word order through iterative shuffling. CoRR Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic
2021	J	`jnl`	Video Imprint. CoRR Zhanning Gao, Le Wang, Nebojsa Jojic, Zhenxing Niu, Nanning Zheng, Gang Hua
2020	A*	`conf`	FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. ICLR Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
2020	A*	`conf`	Human-Machine Collaboration for Fast Land Cover Mapping. AAAI Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2020	A*	`conf`	Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. ACL Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek
2020	A*	`conf`	Local Context Normalization: Revisiting Local Normalization. CVPR Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
2020	—	`conf`	Mining Self-similarity: Label Super-Resolution with Epitomic Representations. ECCV (26) Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic
2020	J	`jnl`	Mining self-similarity: Label super-resolution with epitomic representations. CoRR Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
2020	J	`jnl`	The GeoLifeCLEF 2020 Dataset. CoRR Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
2020	C	`conf`	Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. IGARSS Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
2019	J	`jnl`	A deep active learning system for species identification and counting in camera trap images. CoRR Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
2019	J	`jnl`	Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. CoRR Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
2019	J	`jnl`	FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. CoRR Yingzhen Yang, Nebojsa Jojic, Jun Huan
2019	J	`jnl`	Human-Machine Collaboration for Fast Land Cover Mapping. CoRR Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2019	J	`jnl`	Label Super Resolution with Inter-Instance Loss. CoRR Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz
2019	—	`conf`	Label super-resolution networks. ICLR (Poster) Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
2019	A*	`conf`	Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. CVPR Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
2019	J	`jnl`	Local Context Normalization: Revisiting Local Normalization. CoRR Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
2019	J	`jnl`	Video Imprint. IEEE Trans. Pattern Anal. Mach. Intell. Zhanning Gao, Le Wang, Nebojsa Jojic, Zhenxing Niu, Nanning Zheng, Gang Hua
2018	—	`conf`	3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang
2018	—	`conf`	A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. ACL (1) Shashank Srivastava, Nebojsa Jojic
2018	J	`jnl`	Subspace Learning by ℓ Int. J. Comput. Vis. Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
2018	A*	`conf`	WSNet: Compact and Efficient Networks Through Weight Sampling. ICML Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan
2017	J	`jnl`	Discovering Order in Unordered Datasets: Generative Markov Networks. CoRR Yao-Hung Hubert Tsai, Han Zhao, Ruslan Salakhutdinov, Nebojsa Jojic
2017	J	`jnl`	Discriminative Similarity for Clustering and Semi-Supervised Learning. CoRR Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang
2017	A*	`conf`	ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. CVPR Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng
2017	J	`jnl`	On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation. CoRR Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
2017	A*	`conf`	Steering Output Style and Topic in Neural Response Generation. EMNLP Di Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg
2017	J	`jnl`	Steering Output Style and Topic in Neural Response Generation. CoRR Di Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg
2017	A*	`conf`	Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-Sample Image Sequences. ICCV Alessandro Penna, Sadegh Mohammadi, Nebojsa Jojic, Vittorio Murino
2016	A	`conf`	Hierarchical learning of grids of microtopics. UAI Nebojsa Jojic, Alessandro Perina, Dongwoo Kim
2016	—	`conf`	Iterative Refinement of the Approximate Posterior for Directed Belief Networks. NIPS R. Devon Hjelm, Russ Salakhutdinov, Kyunghyun Cho, Nebojsa Jojic, Vince D. Calhoun, Junyoung Chung
2016	J	`jnl`	Traveling on discrete embeddings of gene expression. Artif. Intell. Medicine Pietro Lovato, Manuele Bicego, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Alessandro Perina
2016	—	`conf`	ℓ ^0 ℓ 0 -Sparse Subspace Clustering. ECCV (2) Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Perina, Nebojsa Jojic
2015	J	`jnl`	Hierarchical learning of grids of microtopics. CoRR Nebojsa Jojic, Alessandro Perina, Dongwoo Kim
2015	J	`jnl`	Iterative Refinement of Approximate Posterior for Training Directed Belief Networks. CoRR R. Devon Hjelm, Kyunghyun Cho, Junyoung Chung, Ruslan Salakhutdinov, Vince D. Calhoun, Nebojsa Jojic
2014	Misc	`conf`	Bags of Words Models of Epitope Sets: HIV Viral Load Regression with Counting Grids. Pacific Symposium on Biocomputing Alessandro Perina, Pietro Lovato, Nebojsa Jojic
2014	J	`jnl`	Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features. CoRR Alessandro Perina, Nebojsa Jojic
2014	—	`conf`	Mapping Brains on Grids of Features for Schizophrenia Analysis. MICCAI (2) Alessandro Perina, Denis Peruzzo, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Mellani Bellani, Paolo Brambilla, Umberto Castellani
2013	—	`conf`	A Comparative Framework for Preconditioned Lasso Algorithms. NIPS Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jordan
2013	A*	`conf`	Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid. CVPR Alessandro Perina, Nebojsa Jojic
2013	—	`conf`	Documents as multiple overlapping windows into grids of counts. NIPS Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski
2013	—	`conf`	Efficient Ranking from Pairwise Comparisons. ICML (3) Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic
2013	J	`jnl`	In the sight of my wearable camera: Classifying my visual experience CoRR Alessandro Perina, Nebojsa Jojic
2013	J	`jnl`	Learning Graphical Models of Images, Videos and Their Spatial Transformations CoRR Brendan J. Frey, Nebojsa Jojic
2012	A*	`conf`	Active spectral clustering via iterative uncertainty reduction. KDD Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jordan
2012	J	`jnl`	Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data. BMC Bioinform. Boyko Kakaradov, Hui Yuan Xiong, Leo J. Lee, Nebojsa Jojic, Brendan J. Frey
2012	J	`jnl`	Discovering Patterns in Biological Sequences by Optimal Segmentation CoRR Joseph Bockhorst, Nebojsa Jojic
2012	—	`conf`	Feature Selection Using Counting Grids: Application to Microarray Data. SSPR/SPR Pietro Lovato, Manuele Bicego, Marco Cristani, Nebojsa Jojic, Alessandro Perina
2012	J	`jnl`	Free Energy Score Spaces: Using Generative Information in Discriminative Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic
2012	J	`jnl`	Joint discovery of haplotype blocks and complex trait associations from SNP sequences CoRR Nebojsa Jojic, Vladimir Jojic, David Heckerman
2012	J	`jnl`	Multidimensional counting grids: Inferring word order from disordered bags of words CoRR Nebojsa Jojic, Alessandro Perina
2012	J	`jnl`	Probabilistic index maps for modeling natural signals CoRR Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez
2012	—	`conf`	Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints. ECCV (6) Alessandro Perina, Nebojsa Jojic
2012	J	`jnl`	Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes. Int. J. Comput. Vis. Alessandro Perina, Nebojsa Jojic, Marco Cristani, Vittorio Murino
2011	A*	`conf`	Image analysis by counting on a grid. CVPR Alessandro Perina, Nebojsa Jojic
2011	A	`conf`	Multidimensional counting grids: Inferring word order from disordered bags of words. UAI Nebojsa Jojic, Alessandro Perina
2011	B	`conf`	Nonparametric Combinatorial Sequence Models. RECOMB Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic
2011	J	`jnl`	Nonparametric Combinatorial Sequence Models. J. Comput. Biol. Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic
2011	B	`conf`	Variable Selection through Correlation Sifting. RECOMB Jim C. Huang, Nebojsa Jojic
2010	—	`conf`	Exact inference and learning for cumulative distribution functions on loopy graphs. NIPS Jim C. Huang, Nebojsa Jojic, Christopher Meek
2010	A	`conf`	Maximum-likelihood learning of cumulative distribution functions on graphs. AISTATS Jim C. Huang, Nebojsa Jojic
2010	—	`conf`	Object Recognition with Hierarchical Stel Models. ECCV (6) Alessandro Perina, Nebojsa Jojic, Umberto Castellani, Marco Cristani, Vittorio Murino
2010	—	`conf`	Structural epitome: a way to summarize one's visual experience. NIPS Nebojsa Jojic, Alessandro Perina, Vittorio Murino
2009	A*	`conf`	A hybrid generative/discriminative classification framework based on free-energy terms. ICCV Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic
2009	—	`conf`	Free energy score space. NIPS Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic
2009	A	`conf`	Speech separation by efficient combinatorial decoding of speech mixtures. ICME Manuel Reyes-Gomez, Nebojsa Jojic
2009	A*	`conf`	Stel component analysis: Modeling spatial correlations in image class structure. CVPR Nebojsa Jojic, Alessandro Perina, Marco Cristani, Vittorio Murino, Brendan J. Frey
2008	J	`jnl`	Comparison of Immunogen Designs That Optimize Peptide Coverage: Reply to Fischer et al. PLoS Comput. Biol. David C. Nickle, Nebojsa Jojic, David Heckerman, Vladimir Jojic, Darko Kirovski, Morgane Rolland, Sergei L. Kosakovsky Pond, James I. Mullins
2008	B	`conf`	Constructing Treatment Portfolios Using Affinity Propagation. RECOMB Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vladimir Jojic, Guri Giaever, Andrew Emili, Gabe Musso, Robert Hegele
2008	J	`jnl`	Fast Transformation-Invariant Component Analysis. Int. J. Comput. Vis. Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2008	Misc	`conf`	Population Sequencing Using Short Reads: HIV as a Case Study. Pacific Symposium on Biocomputing Vladimir Jojic, Tomer Hertz, Nebojsa Jojic
2008	J	`jnl`	Shift-Invariant Adaptive Double Threading: Learning MHC II-Peptide Binding. J. Comput. Biol. Noah Zaitlen, Manuel Reyes-Gomez, David Heckerman, Nebojsa Jojic
2008	J	`jnl`	Video Epitomes. Int. J. Comput. Vis. Vincent Cheung, Brendan J. Frey, Nebojsa Jojic
2007	A*	`conf`	Capturing long-range correlations with patch models. CVPR Vincent Cheung, Nebojsa Jojic, Dimitris Samaras
2007	J	`jnl`	Coping with Viral Diversity in HIV Vaccine Design. PLoS Comput. Biol. David C. Nickle, Morgane Rolland, Mark A. Jensen, Sergei L. Kosakovsky Pond, Wenjie Deng, Mark Seligman, David Heckerman, James I. Mullins, Nebojsa Jojic
2007	A	`conf`	Discovering Patterns in Biological Sequences by Optimal Segmentation. UAI Joseph Bockhorst, Nebojsa Jojic
2007	A*	`conf`	Program verification as probabilistic inference. POPL Sumit Gulwani, Nebojsa Jojic
2007	B	`conf`	Reconstructing the Phylogeny of Mobile Elements. RECOMB Sean O'Rourke, Noah Zaitlen, Nebojsa Jojic, Eleazar Eskin
2007	B	`conf`	Shift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding. RECOMB Noah Zaitlen, Manuel Reyes-Gomez, David Heckerman, Nebojsa Jojic
2006	Misc	`conf`	Click Passwords. SEC Darko Kirovski, Nebojsa Jojic, Paul Roberts
2006	—	`conf`	Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. CVPR (1) Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick
2006	—	`conf`	Learning MHC I - peptide binding. ISMB (Supplement of Bioinformatics) Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Myers Kadie, Ora Schueler-Furman
2006	—	`conf`	Recursive estimation of generative models of video. CVPR (1) Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic
2005	J	`jnl`	A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Brendan J. Frey, Nebojsa Jojic
2005	J	`jnl`	Adaptive Video Fast Forward. Multim. Tools Appl. Nemanja Petrovic, Nebojsa Jojic, Thomas S. Huang
2005	A*	`conf`	Consistent Segmentation for Optical Flow Estimation. ICCV C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang
2005	A	`conf`	Deformable Spectrograms. AISTATS Manuel Reyes-Gomez, Nebojsa Jojic, Daniel P. W. Ellis
2005	A	`conf`	Generative Model for Layers of Appearance and Deformation. AISTATS Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2005	—	`conf`	Interactive Montages of Sprites for Indexing and Summarizing Security Video. CVPR (2) Chris Pal, Nebojsa Jojic
2005	A*	`conf`	LOCUS: Learning Object Classes with Unsupervised Segmentation. ICCV John M. Winn, Nebojsa Jojic
2005	—	`conf`	Q-Clustering. NIPS Mukund Narasimhan, Nebojsa Jojic, Jeff A. Bilmes
2005	—	`conf`	Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman
2005	—	`conf`	Video Epitomes. CVPR (1) Vincent Cheung, Brendan J. Frey, Nebojsa Jojic
2004	—	`conf`	A Generative Model of Dense Optical Flow in Layers. SCVMA Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
2004	—	`conf`	Audio-visual graphical models for speech processing. ICASSP (5) John R. Hershey, Hagai Attias, Nebojsa Jojic, Trausti T. Kristjansson
2004	—	`conf`	Capturing Image Structure with Probabilistic Index Maps. CVPR (1) Nebojsa Jojic, Yaron Caspi
2004	—	`conf`	Cryptographically secure identity certificates. ICASSP (5) Darko Kirovski, Nebojsa Jojic
2004	—	`conf`	Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman
2004	C	`conf`	Hierarchical video clustering. MMSP Nemanja Petrovic, Nebojsa Jojic, Thomas S. Huang
2004	A	`conf`	Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences. UAI Nebojsa Jojic, Vladimir Jojic, David Heckerman
2004	—	`conf`	Multiband audio modeling for single-channel acoustic source separation. ICASSP (5) Manuel J. Reyes Gomez, Daniel P. W. Ellis, Nebojsa Jojic
2004	A	`conf`	Probabilistic Index Maps for Modeling Natural Signals. UAI Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez
2004	—	`conf`	Probability Models for High Dynamic Range Imaging. CVPR (2) Chris Pal, Richard Szeliski, Matthew Uyttendaele, Nebojsa Jojic
2004	—	`conf`	Tamper-Resistant Biometric IDs. ISSE Darko Kirovski, Nebojsa Jojic, Gavin Jancke
2004	—	`conf`	Towards single-channel unsupervised source separation of speech mixtures: the layered harmonics/formants separation-tracking model. SAPA@INTERSPEECH Manuel Reyes-Gomez, Nebojsa Jojic, Daniel P. W. Ellis
2003	J	`jnl`	A Graphical Model for Audiovisual Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Matthew J. Beal, Nebojsa Jojic, Hagai Attias
2003	A*	`conf`	Epitomic analysis of appearance and shape. ICCV Nebojsa Jojic, Brendan J. Frey, Anitha Kannan
2003	B	`conf`	FaceCerts. DCC Darko Kirovski, Nebojsa Jojic
2003	—	`conf`	Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. CVPR (1) Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
2003	A	`conf`	Real-time On-line Learning of Transformed Hidden Markov Models from Video. AISTATS Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S. Huang
2003	—	`conf`	Scene generative models for adaptive video fast forward. ICIP (2) Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang
2003	J	`jnl`	Transformation-Invariant Clustering Using the EM Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Brendan J. Frey, Nebojsa Jojic
2002	Misc	`conf`	A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. ICASSP Matthew J. Beal, Nebojsa Jojic, Hagai Attias
2002	—	`conf`	Audio-Video Sensor Fusion with Probabilistic Graphical Models. ECCV (1) Matthew J. Beal, Hagai Attias, Nebojsa Jojic
2002	—	`conf`	Fast Transformation-Invariant Factor Analysis. NIPS Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2002	—	`—`	Generative Models for Computer Vision Nebojsa Jojic
2002	—	`conf`	Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. ECCV (4) Chris Pal, Brendan J. Frey, Nebojsa Jojic
2001	—	`conf`	Fast, Large-Scale Transformation-Invariant Clustering. NIPS Brendan J. Frey, Nebojsa Jojic
2001	—	`conf`	Learning Flexible Sprites in Video Layers. CVPR (1) Nebojsa Jojic, Brendan J. Frey
2001	A	`conf`	Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. AISTATS Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
2001	—	`conf`	Product Analysis: Learning to Model Observations as Products of Hidden Variables. NIPS Brendan J. Frey, Anitha Kannan, Nebojsa Jojic
2001	A*	`conf`	Separating Appearance from Deformation. ICCV Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
2000	—	`ch.`	A Framework for Garment Shopping over the Internet. Handbook of Electronic Commerce Nebojsa Jojic, Yong Rui, Yueting Zhuang, Thomas S. Huang
2000	—	`ch.`	Computer Vision and Graphics Techniques for Modeling Dressed Humans. Confluence of Computer Vision and Computer Graphics Nebojsa Jojic, Thomas S. Huang
2000	B	`conf`	Detection and Estimation of Pointing Gestures in Dense Disparity Maps. FG Nebojsa Jojic, Thomas S. Huang, Barry Brumitt, Brian Meyers, Steve Harris
2000	A	`conf`	Learning Graphical Models of Images, Videos and Their Spatial Transformations. UAI Brendan J. Frey, Nebojsa Jojic
2000	A*	`conf`	Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequence. CVPR Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang, Brendan J. Frey
1999	J	`jnl`	Computer modeling, analysis, and synthesis of dressed humans. IEEE Trans. Circuits Syst. Video Technol. Nebojsa Jojic, Jin Gu, Helen C. Shen, Thomas S. Huang
1999	A*	`conf`	Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm. CVPR Brendan J. Frey, Nebojsa Jojic
1999	—	`conf`	Topographic Transformation as a Discrete Latent Variable. NIPS Nebojsa Jojic, Brendan J. Frey
1999	A*	`conf`	Tracking Self-Occluding Articulated Objects in Dense Disparity Maps. ICCV Nebojsa Jojic, Matthew Turk, Thomas S. Huang
1999	A*	`conf`	Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components. ICCV Brendan J. Frey, Nebojsa Jojic
1998	—	`conf`	3-D Reconstruction of Multipart Self-Occluding Objects. ACCV (2) Nebojsa Jojic, Jin Gu, Helen C. Shen, Thomas S. Huang
1998	A*	`conf`	Computer Modeling, Analysis and Synthesis of Dressed Humans. CVPR Nebojsa Jojic, Jin Gu, Ivan Mak, Helen C. Shen, Thomas S. Huang
1998	—	`conf`	On Analysis of Cloth Drape Range Data. ACCV (2) Nebojsa Jojic, Thomas S. Huang
1996	B	`conf`	A generalized expansion matching based feature extractor. ICPR Zhiqian Wang, K. Raghunath Rao, Dibyendu Nandy, Jezekiel Ben-Arie, Nebojsa Jojic
1996	Misc	`conf`	On the use of the Karhunen-Loeve transform and expansion matching for generalized feature detection. ICASSP Dibyendu Nandy, Jezekiel Ben-Arie, Nebojsa Jojic, Zhiqian Wang, K. Raghunath Rao