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[2014]

  1. Liefeng Bo, Xiaofeng Ren and Dieter Fox, Learning Hierarchical Sparse Features for RGB-(D) Object Recognition, International Journal of Robotics Research (IJRR), 2014. [PDF] [BIB]

  2. Cynthia Matuszek, Liefeng Bo, Luke Zettlemoyer and Dieter Fox, Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions, (AAAI), July, 2014. [PDF] [BIB]

  3. Kevin Lai, Liefeng Bo and Dieter Fox, Unsupervised Feature Learning for 3D Scene Labeling, In IEEE International Conference on Robotics and Automation (ICRA), May, 2014. [PDF] [BIB]

  4. Marianna Madry, Liefeng Bo, Danica Kragic and Dieter Fox, ST-HMP: Unsupervised Spatio-Temporal Feature Learning for Tactile Data, In IEEE International Conference on Robotics and Automation (ICRA), May, 2014. [PDF] [BIB]

  5. Michael Ruhnke, Liefeng Bo and Dieter Fox and Wolfram Burgard, Hierarchical Sparse Coded Surface Models, In IEEE International Conference on Robotics and Automation (ICRA), May, 2014. [PDF] [BIB]

  6. Yuyin Sun, Liefeng Bo and Dieter Fox, Learning to Identify New Objects, In IEEE International Conference on Robotics and Automation (ICRA), May, 2014. [PDF] [BIB]

[2013]

  1. Liefeng Bo, Xiaofeng Ren and Dieter Fox, Multipath Sparse Coding Using Hierarchical Matching Pursuit, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2013. [PDF] [BIB]

  2. Yuyin Sun, Liefeng Bo and Dieter Fox, Attribute Based Object Identification, In IEEE International Conference on Robotics and Automation (ICRA), May, 2013. [PDF] [BIB]

  3. Michael Ruhnke, Liefeng Bo and Dieter Fox and Wolfram Burgard, Compact RGBD Surface Models Based on Sparse Coding, In the AAAI Conference on Artificial Intelligence (AAAI), July 2013. [PDF] [BIB]

  4. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark, Consumer Depth Cameras for Computer Vision, Springer, 2013. [BIB]

  5. Xiaofeng Ren and Liefeng Bo, Discriminatively Trained Sparse Code Gradients for Contour Detection, Advances in Neural Information Processing Systems (NIPS), December, 2012. [PDF] [BIB]

  6. Shulin Yang, Liefeng Bo, Jue Wang and Linda Shapiro, Unsupervised Template Learning for Fine-Grained Object Recognition, Advances in Neural Information Processing Systems (NIPS), December, 2012. [PDF] [BIB]

[2012]

  1. Miro Enev, Jaeyeon Jung, Liefeng Bo, Xiaofeng Ren and Tadayoshi Khono, SensorSift: Balancing Sensor Data Privacy and Utility in Automated Face Understanding, Annual Computer Security Applications Conference (ACSAC), December, 2012. [PDF] [BIB]

  2. Liefeng Bo, Xiaofeng Ren and Dieter Fox, Unsupervised Feature Learning for RGB-D Based Object Recognition, In International Symposium on Experimental Robotics, (ISER), June 2012. [PDF] [BIB] [Slides]

  3. Liefeng Bo, Xiaofeng Ren and Dieter Fox, Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms, Advances in Neural Information Processing Systems (NIPS), December, 2011. [PDF] [BIB][Poster]

  4. Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, and Dieter Fox, A joint model of language and perception for grounded attribute learning, In International Conference on Machine Learning (ICML), July 2012. [PDF] [BIB]

  5. Xiaofeng Ren, Liefeng Bo and Dieter Fox, RGB-(D) Scene Labeling: Features and Algorithms, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2012. [PDF] [BIB] [Code]

  6. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, Detection-based Object Labeling in 3D Scenes, In IEEE International Conference on Robotics and Automation (ICRA), May, 2012. [PDF] [BIB]

[2011]

  1. Liefeng Bo, Xiaofeng Ren and Dieter Fox, Depth Kernel Descriptors for Object Recognition, In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2011. [PDF] [BIB] [Code]

  2. Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox, Object Recognition with Hierarchical Kernel Descriptors, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2011. [PDF] [Dataset] [BIB] [Code]

  3. Liefeng Bo, Xiaofeng Ren and Dieter Fox, Kernel Descriptors for Visual Recognition, Advances in Neural Information Processing Systems (NIPS), December, 2010. [PDF] [Spotlight] [Video] [BIB] [Code] (spotlight acceptance rate 6%)

  4. Diane Hu, Liefeng Bo, Xiaofeng Ren, Toward Robust Material Recognition for Everyday Objects, In British Machine Vision Conference (BMVC), September, 2011. [PDF] [BIB]

  5. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, Sparse Distance Learning for Object Recognition Combining RGB and Depth Information, In IEEE International Conference on Robotics and Automation (ICRA), May, 2011. [PDF] [BIB] [Dataset]
    Best Vision Paper Award

  6. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, A Scalable Tree-based Approach for Joint Object and Pose Recognition, In the AAAI Conference on Artificial Intelligence (AAAI), August 2011. [PDF] [BIB] [Dataset] (oral+poster acceptance rate 4.4%)

  7. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, A Large-Scale Hierarchical Multi-View RGB-D Object Dataset, In IEEE International Conference on Robotics and Automation (ICRA), May, 2011. [PDF] [BIB] [Dataset]

  8. Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Deisenroth, Liefeng Bo, Robert Chu,Michael Kung, Louis LeGrand, Joshua R. Smith and Dieter Fox, Gambit: An Autonomous Chess Playing Manipulator, In IEEE International Conference on Robotics and Automation (ICRA), May, 2011.

  9. Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu and Atul Kanaujia, Feature-based Pose Estimatio, Visual Analysis of Humans, Springer, 2011. [BIB]

[2010]

  1. Liefeng Bo and Cristian Sminchisescu, Twin Gaussian Processes for Structured Prediction, International Journal of Computer Vision (IJCV), vol. 87, pp. 28-52, 2010. [PDF] [BIB] [CODE]

  2. Liefeng Bo and Cristian Sminchisescu, Efficient Match Kernels between Sets of Features for Visual Recognition, Advances in Neural Information Processing Systems (NIPS), December, 2009. (spotlight acceptance rate 8%) [PDF] [BIB]

  3. Jian Peng, Liefeng Bo, and Jinbo Xu, Conditional Neural Fields, Advances in Neural Information Processing Systems (NIPS), December, 2009. [PDF] [BIB][CODE]

[2009]

  1. Liefeng Bo and Cristian Sminchisescu, Supervised Spectral Latent Variable Models, In The Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), April 2009. [PDF] [BIB]

  2. Liefeng Bo and Cristian Sminchisescu, Structured Output-Associative Regression, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2009. [PDF] [BIB]

  3. Catalin. Ionescu, Liefeng Bo and Cristian Sminchisescu. Structural SVM for Visual Localization and Continuous State Estimation. In IEEE International Conference on Computer Vision (ICCV), September 2009. [PDF] [BIB]

  4. Dong Han, Liefeng Bo, and Cristian Sminchisescu, Selection and Context for Action Recognition. In IEEE International Conference on Computer Vision (ICCV), September 2009. [PDF] [BIB]

  5. Jin Yuan, Liefeng Bo, Kesheng Wang and Tao Yu, Adaptive Spherical Gaussian Kernel in Sparse Bayesian Learning Framework for Nonlinear Regression, Expert Systems with Applications (ESWA), vol. 36(2), pp. 3982-3989, 2009. [PDF] [BIB]

[2008]

  1. Liefeng Bo, Ling Wang, and Licheng Jiao, Training Hard Margin Support Vector Machine Using Greedy Stagewise Algorithm, IEEE Transactions on Neural Networks (TNN), vol. 19(8), pp. 1446-1455, 2008. [PDF] [BIB]

  2. Liefeng Bo and Cristian Sminchisescu, Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression, In The Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI), July 2008. [PDF] [BIB] [CODE]

  3. Liefeng Bo, Cristian Sminchisescu, Atul Kanaujia and Dimitirs Metaxas, Fast Algorithms for Large Scale Conditional 3D Prediction, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2008. [PDF] [BIB] [CODE]

  4. Maoguo Gong, Licheng Jiao, Haifeng Du and Liefeng Bo, Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection, Evolutionary Computation (EC), vol. 16(2), pp. 225-255, 2008. [PDF] [BIB]

  5. Maoguo Gong, Licheng Jiao, Liefeng Bo, Ling Wang and Xiangrong Zhang, Image Texture Classification Using a Manifold Distance based Evolutionary Clustering Method. Optical Engineering (OE), vol. 47(7), 077201, 2008. [PDF] [BIB]

  6. Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo and Maoguo Gong, Spectral Clustering Ensemble Applied to Texture Features for SAR Image Segmentation, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 46(7), pp. 2126-2135, 2008. [PDF] [BIB]

[Before 2007]

  1. Liefeng Bo, Licheng Jiao and Ling Wang, Working Set Selection Using Functional Gain for LS-SVM, IEEE Transactions on Neural Networks (TNN), vol. 18(5), pp. 1541-1544, 2007. [PDF] [BIB] [CODE]

  2. Liefeng Bo, Ling Wang, and Licheng Jiao, Recursive Finite Newton Algorithm for Support Vector Regression in the Primal, Neural Computation (NECO), vol. 19(4), pp. 1082-1096, 2007. [PDF] [BIB] [CODE]

  3. Licheng Jiao, Liefeng Bo, and Ling Wang, Fast Sparse Approximation for Least Square Support Vector Machine, IEEE Transactions on Neural Networks (TNN), vol. 18(3), pp. 685-697, 2007. [PDF] [BIB] [CODE]

  4. Liefeng Bo, Ling Wang, and Licheng Jiao, Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal, In The Eleventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), vol. 4426, pp. 35-47, 2007.  [PDF] [BIB]

  5. Maoguo Gong, Licheng Jiao, Ling Wang and Liefeng Bo, Density-Sensitive Evolutionary Clustering, In The Eleventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), vol. 4426, pp. 507-515, 2007. [PDF] [BIB]

  6. Liefeng Bo, Ling Wang, and Licheng Jiao, Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-one-out Cross Validation, Neural Computation (NECO), vol. 18(4), pp. 961-978, 2006. [PDF] [BIB] [CODE]

  7. Liefeng Bo, Licheng Jiao, and Ling Wang, MLPs-EFS Multi-layer Perceptrons with Embedded Feature Selection with Application in Cancer Classification, Chinese Journal of Electronics (CJE), vol. 15, pp. 832-835, 2006. [PDF] [BIB]

  8. Liefeng Bo, Ling Wang, and Licheng Jiao, Training Support Vector Machines using Greedy Stagewise Algorithm, In The Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Lecture Notes in Computer Science, vol. 3518, pp. 632-638, 2005. [PDF] [BIB]