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A Few Recent Papers |
Baluja, S. (2023), The Infinite Doodler: Expanding Textures Within Tightly Constrained Manifolds.
Visual Computer Journal and Supplementary Material Baluja, S. & Marwood, D. (2022), Visualizing Semantic Walks. short paper to be presented at the NeurIPS-2022 Workshop on Machine Learning for Creativity and Design. download (large file) Baluja, S. (2022), A Natural Representation of Colors with Textures.
Visual Computer Journal Marwood, D., Covell, M., Baluja, S. (2022), Not All Network Weights Need to Be Free, ICMLA-2022. Strange Results, Indeed. Baluja, S. Marwood, D., Covell, M. (2021), Interpretable Actions: Controlling Experts with Understandable Commands, AAAI-2021. from AAAI Baluja, S. (2020), Immediate Gestalt: Shapes, Typography and (Quite Irregular) Packing, Journal of Mathematics and Art Journal Link Baluja, S. (2019), “Hiding Images Within Images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Open Access: IEEE-PAMI |
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Journals |
Baluja, S. (2023), The Infinite Doodler: Expanding Textures Within Tightly Constrained Manifolds.
Visual Computer Journal and Supplementary Material Baluja, S. (2022), A Natural Representation of Colors with Textures.
Visual Computer Journal Baluja, S. (2020), Immediate Gestalt: Shapes, Typography and (Quite Irregular) Packing, Journal of Mathematics and Art Journal Link Baluja, S. (2019) “Hiding Images Within Images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE-PAMI or or download from here. Baluja, S. (2017) “Learning Typographic Style: from Discrimination to Synthesis”, Machine Vision and Applications, Volume 28, Issue 5 & 6, pp 551-568. Springer Covell, M. & Baluja, S. (2013) “Efficient and Accurate Label Propagation on Dynamic Graphs and Label Sets”, International Journal on Advances in Networks and Services, Volume 6, no. 3 & 4, pp 246-259. Hosted @ Google Baluja, S. & Covell, M. (2008), “Waveprint: Efficient Wavelet-Based Audio Fingerprinting”, Pattern Recognition, 41:11, November 2008, pp 3467-3480 Article on Pattern Recognition Baluja, S. & Covell, M. (2008) “Learning To Hash: Forgiving Hash Functions and Applications” in Data Mining and Knowledge Discovery, V17:3 (402-430) Original Article on Springer. Jing, Y. & Baluja, S. (2008) “VisualRank: Applying PageRank to Large-Scale Image Search”, IEEE Pattern Analysis and Machine Intelligence (PAMI). vol. 30, no. 11, 1877-1890 Paper Baluja, S. (2007) “Automated Image Orientation Detection: A Scalable Boosting Approach”, Pattern Analysis and Applications (to appear). Article at Springer Kamvar, M. & Baluja, S. (2007), Deciphering Trends in
Baluja, S. & Rowley, H. (2007) “Boosting Sex Identification Performance” International Journal of Computer Vision (IJCV), Volume 71, Number 1. 111-119. Article at Springer.
M. Fink, M. Covell,
M. Covell,
Baluja, S. (2002) “Using a priori Knowledge to Create Probabilistic Models for Optimization”, International Journal of Approximate Reasoning, Volume 31, Issue 3, pp 193-220. IJAR
Baluja, S. Mittal, V., Sukthankar, R. (2000) “Applying machine learning for high-performance named-entity extraction”. Computational Intelligence, 16/4 November 2000. 586-595.
Baluja, S. (2000) “Using Labeled and Unlabeled Data for Probabilistic Modeling of Face Orientation”, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 14, No. 8 (2000) 1097-1107 .
Contributing author to Boyan, Buntine, Jagota (ed.) (2000) “Statistical Machine Learning for Large-Scale Optimization” in Neural Computing Surveys 3, 2000.
Baluja, S. & Pomerleau, D.A. (1998) “Dynamic Relevance: Vision Based Focus of Attention using Artificial Neural Networks,” Artificial Intelligence, Vol. 97 (1-2) pp. 381-395.
Rowley, H., Baluja, S. & Kanade, T. (1998) “Neural Network-Based Face Detection,” IEEE-Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 20, No. 1, January, 1998. IEEE-PAMI Version
Sukthankar, R., Baluja, S., & Hancock, J. (1998) “Multiple Adaptive Agents for Tactical Driving,” International Journal of Applied Intelligence, Volume 9, Issue 1, July, 1998.
Baluja, S. & Pomerleau, D.A. (1997) “Expectation-Based Selective Attention for the Visual Monitoring and Control of a Robot Vehicle,” Robotics and Autonomous Systems Journal, Vol. 22 pp. 329-344. Robotics and Autonomous Systems Journal Version
Baluja, S. & Simon, D. (1997) “Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery,” International Journal of Applied Intelligence, Vol. 8, pp. 1-13. CMU-CS-96-183
Baluja, S. & Maxion, R. (1996) “Artificial Neural Network Based Approaches to Detection and Classification of Plasma-Etch Anomalies,” The Journal of Intelligent Systems, Volume 7, No. 1-2, 57-82, 1997. JIS-97
Baluja, S. (1996) “Evolution of an Artificial Neural Network Based Autonomous Land Vehicle Controller,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 26 No. 3, 450-463, June 1996.
Baluja, S., Pomerleau, D.A. & Jochem T. (1994) “Towards
Automated Artificial Evolution for Computer Generated Images,” Connection
Science, Volume 6, 2 & 3. 1994. Also appears in Musical Networks:
Parallel Distributed Perception and Performance (eds.) |
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Book
Chapters |
Baluja, S. (2006) “Incorporating a priori Knowledge in Probabilistic-Model Based Optimization”, in M. Pelikan, K. Sastry, E. Cantu-Paz (eds.) Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications, 205-219, Springer (book on amazon).
Baluja, S., Pomerleau, D.A. & Jochem T. (1999) “Towards
Automated Artificial Evolution for Computer Generated Images,” in
Baluja, S., Sukthankar, R., Hancock, J. (1996) “Prototyping
Intelligent Vehicle Modules Using Evolutionary Algorithms,” in Dasgupta, D.
& Michalewicz, Z. (eds.) Evolutionary Algorithms in Engineering
Applications. Springer Verlag,
Baluja, S. (1995) “Evolving Artificial Neural Networks: Learning
to Steer a Land Vehicle,” The Practical Handbook of Genetic Algorithms,
Vol II. Chambers, L. (Ed). CRC Press.
Baluja, S. (1995) “Structure and Performance of Fine Grain
Parallelism in Genetic Search,” The Practical Handbook of Genetic
Algorithms, Vol. II. Chambers, L. (Ed). CRC Press.
Jochem, T. & Baluja, S. (1994) “Massively Parallel,
Adaptive, Color Image Processing for Autonomous Road Following,” Massively
Parallel Artificial Intelligence. Hiroaki Kitano & James Hendler
(Eds.), AAAI Press. |
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Conferences
& Refereed Workshops & Reports |
Baluja, S. & Marwood, D. (2022), Visualizing Semantic Walks. short paper to be presented at the NeurIPS-2022 Workshop on Machine Learning for Creativity and Design. download (large file) Covell, M., Marwood, D., Baluja, S. (2022), Adding Non-Linear Context to Deep Networks ICIP-2022. download Marwood, D., Covell, M., Baluja, S. (2022), Not All Network Weights Need to Be Free, ICMLA-2022. download Marwood, D., Baluja, S. (2021), Contextual Convolution Blocks BMVC-2021. download Baluja, S. Marwood, D., Covell, M. (2021), Interpretable Actions: Controlling Experts with Understandable Commands, AAAI-2021. from AAAI M. Covell & S. Baluja (2020),
Seamless Audio Melding: Using Seam Carving with Music Playlists
S. Baluja, D. Marwood, N. Johnston, M. Covell
(2019),
Neural Image Decompression: Learning to Render Better Image Previews
M. Covell, D. Marwood, S. Baluja, N. Johnston,
(2019), Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference,
S. Baluja, D. Marwood, M. Covell, N. Johnston,
(2018), No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference
D. Marwood, P. Massimino, M. Covell, S. Baluja (2018),
Representing Images in 200 Bytes: Compression via Triangulation,
S. Baluja (2018),
Continuous Selection of Optimized Traffic Light Schedules: A Machine Learning Approach
S. Baluja & I. Fischer (2018),
Learning to Attack: Adversarial Transformation Networks
S. Baluja (2017),
Hiding Images in Plain Sight: Deep Steganography
Neural Information Processing Systems 2017 or download from NIPS-2017 Conference S. Baluja (2017),
Learning Deep Models of Optimization Landscapes
IEEE Symposium on Computational Intelligence best poster-paper award S.Baluja, M. Covell, R. Sukthankar (2017), Traffic Lights with Auction-Based Controllers: Algorithms and Real-World Data arxiv S. Baluja (2016), Learning Typographic Style, Released on arxiv. or (Download directly from arxiv) G. Toderici, S. O'Malley, S.J. Hwang, D. Vincent, D. Minnen, S. Baluja, M. Covell, R. Sukthankar (2016), Variable Rate Image Compression with Recurrent Neural Networks International Conference on Learning Representations (ICLR-2016) Also appears in arxiv M. Leordeanu, A. Radu, S. Baluja, R. Sukthankar (2016), Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision Thirtieth AAAI Conference on Artificial Intelligence (AAAI-2016) S. Baluja (2016),
Reducing Vehicle Emissions via Machine Learning for
Traffic Signal Program Selection S.Baluja, M. Covell, R. Sukthankar (2016), Physical and Virtual Cell Phone Sensors for Traffic Control: Algorithms and Deployment Impact Sensor Applications Symposium (SAS-2016) S. Baluja (2016),
A Simple and Efficient Method to Handle Sparse
Preference Data Using Domination Graphs: S. Baluja, M. Covell & R. Sukthankar (2015), The Virtues of Peer Pressure: A Simple Method for Discovering High-Value Mistakes, 16th International Conference on Computer Analysis of Images and Patterns (CAIP-2015) CAIP-2015 S. Baluja, M. Covell & R. Sukthankar (2015), Approximating the Effects of Installed Traffic Lights: A Behaviorist Approach Based on Travel Tracks, 18th International Conference on Intelligent Transportation Systems (ITSC-2015) ITSC-2015-disovery M. Covell, S. Baluja & R. Sukthankar (2015), The Virtues of Peer Pressure: A Simple Method for Discovering High-Value Mistakes, 18th International Conference on Intelligent Transportation Systems (ITSC-2015) ITSC-2015-control S. Baluja & M. Covell (2013), Point Representation for Local Optimization: Towards Multi-Dimensional Gray Codes, IEEE Congress on Evolutionary Computation CEC-2013 S. Baluja & M. Covell (2013), Neighborhood Preserving Codes for Assigning Point Labels: Applications to Stochastic Search, International Conference on Computation Science (COMS-2013 Workshop) COMS-2013 M. Covell & S. Baluja (2013), Efficient and Accurate Label Propagation on Large Graphs and Label Sets, Int. Conf. on Advances in Multimedia (IARIA-2013) best paper award IARIA-2013 R. Seth, M. Covell, D. Ravichandran, D. Sivakumar, S. Baluja (2011) A Tale of Two (Similar) Cities: Inferring City Similarity Through Geo-Spatial Query Log Analysis, International Conference on Knowledge Discovery and Information Retrieval, 2011 KDIR-2011 S. Baluja, M. Covell (2010) Beyond "Near-Duplicates": Learning Hash Codes for Efficient Similar Image Retrieval, 20th International Conference on Pattern Recognition ICPR-2010 S. Baluja, D. Ravichandran & D. Sivakumar (2009) Text Classification Through Time: Efficient Label Propagation in Time-Based Graphs, International Conference on Knowledge Discovery and Information Retrieval KDIR-2009 S. Baluja & M. Covell (2009) Finding Images and Line-Drawings in Document-Scanning Systems, International Conference on Document Analysis and Recognition ICDAR-2009 R. Gossweiler, M. Kamvar, S. Baluja (2009) What’s Up CAPTCHA? A CAPTCHA Based on Image Orientation, Proceedings of WWW-2009 WWW-2009 M. Covell & S. Baluja (2009), LSH Banding for Large-Scale Retrieval with Memory and Recall Constraints, International Conference on Acoustics, Speech and Signal Processing (ICASSP-2009), ICASSP-2009 S. Baluja, R. Seth, D. Sivakumar, Y. Jing, J. Yagnik, S. Kumar,
D. Ravichandran, M. Aly (2008), Video Suggestion and Discovery for
YouTube: Taking Random Walks Through the View Graph, Proceedings of
WWW-2008 (WWW-2008), WWW-2008 Y.Jing, M. Kamvar, S. Baluja, (2008), Query Suggestions for S. Baluja, M. Covell (2007) Audio Fingerprinting: Combining Computer Vision and Data Stream Processing. International Conference on Acoustics, Speech and Signal Processing (ICASSP-2007). ICASSP-2007
M. Covell,
S. Baluja, M. Covell (2007) Learning “Forgiving” Hash Functions:
Algorithms and Large Scale Tests, International Joint Conference on
Artificial Intelligence, 2007 (IJCAI). IJCAI-2007 M. Kamvar, S. Baluja (2007), The Role of Context in Query Input: Using contextual signals to complete queries on Mobile Devices, Proceedings of Mobile HCI 2007. Mobile-HCI 2007. Y.Jing, S. Baluja, H. Rowley (2007) Canonical Image Selection
from the Web, Conference on Image and Video Retrieval (CIVR-2007) CIVR-2007 M. Covell,
S. Baluja, M. Covell (2006), Content Fingerprinting using Wavelets, in Proceedings of Conference on Visual Media Production, 2006, CVMP-2006 (invited)
S. Baluja (2006), Browsing on Small Screens: Recasting Web-Page
Segmentation into an Efficient Machine Learning Framework M. Fink, M. Covell, S. Baluja (2006), Social- and
Interactive-Television Applications Based on Real-Time Ambient-Audio
Identification M. Kamvar, S. Baluja (2006), A Large Scale Study of Wireless Search Behavior: Google Mobile Search, in SIGCHI-2006: Computer Human Interaction. CHI-2006 Rowley, H., Jing, Y., Baluja, S. (2006), Large-Scale Image-Based
Adult-Content Filtering, International Conference on Computer Vision
Theory and Applications. RJB-2006
S. Baluja, & H.Rowley (2005) Boosting Sex Identification Performance. Proceedings of Innovative Applications of Artificial Intelligence, 2005: AAAI-IAAI 2005. IAAI 2005 (pdf)
S. Baluja & H. Rowley (2005) Large Scale Performance Measurement of Content-Based Automated Image-Orientation Detection. Proceedings of the International Conference on Image Processing, 2005. ICIP 2005 (pdf)
S. Baluja, M. Sahami, H. Rowley (2004) Efficient Face Orientation Discrimination. Proceedings of the International Conference on Image Processing, 2004. ICIP-2004 (pdf)
M. Sahami, V. Mittal, S. Baluja, H. Rowley (2004), The
Happy Searcher: Challenges in Web Information Retrieval, To appear in:
T. Sim, R. Sukthankar, M. Mullin, S. Baluja (2000) Memory-based face recognition for visitor identification. Proceedings of IEEE Face and Gesture, 2000. ARENA-99
Baluja, S., Mittal, V. & Sukthankar, R. (1999) “Applying Machine Learning for High Performance Named Entity Extraction,” appeared in The Proceedings of the Pacific Association for Computational Linguistics (PACLING-99). PACLING-99
Baluja, S. (1999) “Making Templates Rotationally Invariant: An Application to Rotated Digit Recognition”, in M. S. Kearns, S. A. Solla, D. A. Cohn, eds Advances in Neural Information Processing Systems 11, MIT Press, 1999. NIPS-98
Baluja, S. (1999) “Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Examples” in M. S. Kearns, S. A. Solla, D. A. Cohn, eds., Advances in Neural Information Processing Systems 11, MIT Press, 1999. NIPS-98
Baluja, S. & Davies, S. (1998) “Fast Probabilistic Modeling for Combinatorial Optimization,” in Proceedings of the American Association of Artificial Intelligence, 1998. (AAAI-1998). AAAI-98
Baluja, S., (1998) “Using Expectation to Guide Processing: A Study of Three Real-World Applications” in M.I. Jordan, M. J. Kearns, S. A. Solla, eds., Advances in Neural Information Processing Systems 10, MIT Press, 1998. (Plenary Presentation). Neural Information Processing Systems 10
Rowley, H., Baluja, S. & Kanade, T. (1998) “Rotation Invariant Neural Network-Based Face Detection,” in Computer Vision and Pattern Recognition, 1998. Oral Presentation. pdf , JPRC-TR-97-001
Baluja, S. (1998) “Finding Regions of Uncertainty in Learned Models: An Application to Face Detection,” in Eibenm Back, Schwefel, Schoenauer (eds.) Lecture Notes in Computer Science Volume 1498, PPSN – Parallel Problem Solving from Nature. pdf
Baluja, S. & Davies, S. (1997) “Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space,” in Fisher, D.H. (ed.), Proceedings of the Fourteenth International Conference on Machine Learning, 1997 (ICML-97), pp. 30-38. Also available as CMU-CS-97-107 via. Anonymous ftp at: reports.adm.cs.cmu.edu. CMU-CS-97-107 ICML'97 Version
Sukthankar, R., Baluja, S., & Hancock, J. (1997) “Prototyping Intelligent Vehicle Modules,” The International Conference on Robotics and Automation, 1997 (ICRA-97). Proceedings are in electronic form. icra-97
Baluja, S. (1997) “Genetic Algorithms and Explicit Search
Statistics,” in Mozer, M.C.,
Rowley, H., Baluja, S., Kanade, T. (1996) “Neural Network Based
Face Detection,” in Computer Vision and Pattern Recognition, 1996.
IEEE Computer Society, CA. 203-208. Oral Presentation.
pdf ,
postscript Longuet-Higgins prize for
"a contribution that has stood the test of time." (2006).
Baluja, S. (1996) “An Empirical Comparison of Seven Iterative
and Evolutionary Heuristics for Static Function Optimization (Extended
Abstract),” Proceedings of the Eleventh International Conference on
Systems Engineering. Howard. R.
Caruana, R., Baluja, S., Mitchell, T. (1996) “Using the Future to ‘Sort-Out’ The Present: Rankprop and Multitask Learning for Medical Risk Evaluation,” in Touretzky, D.S., Mozer, M.C., & Hasselmo, M.E. (eds.), Advances in Neural Information Processing Systems 8. MIT Press. pp. 959-965. Pneumonia-NIPS95
Rowley, H., Baluja, S., Kanade, T. (1996) “Human Face Detection
in Visual Scenes,” in Touretzky, D.S., Mozer, M.C., &
Baluja, S. & Pomerleau, D.A. (1995) “Using the
Representation in a Neural Network’s Hidden Layer for Task-Specific Focus of
Attention,” C. Mellish (ed.) The International Joint Conference on
Artificial Intelligence 1995 (IJCAI-95):
Baluja, S. & Caruana, R. (1995) “Removing the Genetics from
the Standard Genetic Algorithm,” In Prieditis, A., Russel, S.(eds) The
International Conference on Machine Learning 1995 (ML-95):
Baluja, S. & Pomerleau, D.A. (1995) Using a Saliency Map
for Active Spatial Selective Attention: Implementation & Initial
Results,” Advances in Neural Information Processing Systems (NIPS) 7.
G. Tesauro, D.S. Touretzky and T.K. Leen, (eds.), MIT Press,
Baluja, S. & Pomerleau, D.A. (1994) “Non-Intrusive Gaze
Tracking Using Artificial Neural Networks,” Advances in Neural Information
Processing Systems (NIPS) 6. Cowan, J.D., Tesauro, G. & Alspector, J.
(eds.) Morgan Kaufmann Publishers,
Baluja, S. (1993) “Structure and Performance of Fine Grain
Parallelism in Genetic Search,” In S.Forrest (ed.), Genetic Algorithms:
Proceedings of the Fifth International Conference (ICGA93), Morgan
Kaufmann Publishers,
Baluja, S. (1993) “The Evolution of Genetic Algorithms: Towards
Massive Parallelism,” in P.E. Utgoff, (ed.), Machine Learning: Proceedings
of the Tenth International Conference (ICML93), Morgan Kaufmann
Publishers,
Baluja, S. & Scherer T. (1992) “Local Optimization Using Simulated Annealing,” IEEE Systems, Man and Cybernetics Conference Proceedings, 1992. IEEE Press. Invited Paper.
Liepins, G. & Baluja, S. (1992) “apGA: an Adaptive Parallel Genetic Algorithm,” Computer Science and Operations Research, New Developments in Their Interfaces, Balci, Sharda & Zenios (eds). Pergamon Press, 1992. |
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Other |
Sim, T., Sukthankar,
R., Mullin, D., Baluja, S. (1999) “High Performance Memory-Based Face Recognition
for Visitor Identification,
Baluja, S. (1997) “Face Detection with In-Plane Rotation: Early Concepts and Preliminary Results,” JPRC-TR-97-001. JPRC-TR-97-001
Baluja, S. & Davies, S. (1997) “Combining Multiple Optimization Runs with Optimal Dependency Trees,” CMU-CS-97-157. CMU-CS-97-157
Smith, M., Baluja, S., & Rowley, H. (1997) “Integrating Text and Face Detection for Finding Informative Poster Frames,” AAAI-96 Spring Symposium on Intelligent Integration and Use of Text, Image, Video and Audio Corpora. sbr
Sukthankar, R.,
Hancock, J., Baluja, S., Pomerleau D. & Thorpe C. (1996) “Adaptive
Intelligent Vehicle Modules for Tactical Driving.” AAAI-96 Workshop on
Intelligent Adaptive Agents.
Baluja, S., & Simon, D. (1996) “Evolution-Based Methods for Object Localization: Applications to Computer Assisted Surgery,” CMU-CS-96-186.
Baluja, S. (1995) “An Empirical Comparison of Seven Iterative and Evolutionary Function Optimization Heuristics,” CMU-CS-95-193. Available via. anonymous ftp at: reports.adm.cs.cmu.edu. CMU-CS-95-193
Rowley, H., Baluja, S., Kanade, T. (1996) “Human Face Detection in Visual Scenes,” ARPA Image Understanding Workshop, 1996. Complete Report: CMU-CS-95-158R. Available via. anonymous ftp at: reports.adm.cs.cmu.edu.
Baluja, S. & Fahlman, S.E., (1994) “Reducing Network Depth in the Cascade-Correlation Learning Architecture,” CMU-CS-94-209. CMU-CS-94-209
Baluja, S. (1994) “Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning,” CMU-CS-94-163. Available via anonymous ftp at: reports.adm.cs.cmu.edu. CMU-CS-94-163
Jochem, T. & Baluja, S. (1993) “A Massively Parallel Road Follower,” The Proceedings of the Computer Architectures for Machine Perception Workshop (CAMP), 1993. camp93
Pomerleau, D.A., Baluja, S. (1993) “Non-Intrusive Gaze Tracking Using Artificial Neural Networks,” AAAI Fall Symposium Series, Machine Learning in Computer Vision: What, Why and How? |
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Ph.D.
Dissertation |
Baluja, S. (1996)
Expectation-Based Selective Attention, Ph.D. Thesis, |
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