Liefeng Bo

Miro Enev, Jaeyeon Jung, Liefeng Bo, Xiaofeng Ren, Tadayoshi Kohno: SensorSift: balancing sensor data privacy and utility in automated face understanding. ACSAC 2012: 149-158

Xiaofeng Ren, Liefeng Bo, Dieter Fox: RGB-(D) scene labeling: Features and algorithms. CVPR 2012: 2759-2766

Cynthia Matuszek, Nicholas FitzGerald, Luke S. Zettlemoyer, Liefeng Bo, Dieter Fox: A Joint Model of Language and Perception for Grounded Attribute Learning. ICML 2012

Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: Detection-based object labeling in 3D scenes. ICRA 2012: 1330-1337

Xiaofeng Ren, Liefeng Bo: Discriminatively Trained Sparse Code Gradients for Contour Detection. NIPS 2012: 593-601

Shulin Yang, Liefeng Bo, Jue Wang, Linda G. Shapiro: Unsupervised Template Learning for Fine-Grained Object Recognition. NIPS 2012: 3131-3139

Liefeng Bo, Cristian Sminchisescu: Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression. CoRR abs/1206.3238 (2012)

Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: A Scalable Tree-Based Approach for Joint Object and Pose Recognition. AAAI 2011

Diane Hu, Liefeng Bo, Xiaofeng Ren: Toward Robust Material Recognition for Everyday Objects. BMVC 2011: 1-11

Liefeng Bo, Kevin Lai, Xiaofeng Ren, Dieter Fox: Object recognition with hierarchical kernel descriptors. CVPR 2011: 1729-1736

Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: A large-scale hierarchical multi-view RGB-D object dataset. ICRA 2011: 1817-1824

Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: Sparse distance learning for object recognition combining RGB and depth information. ICRA 2011: 4007-4013

Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith, Dieter Fox: Gambit: An autonomous chess-playing robotic system. ICRA 2011: 4291-4297

Liefeng Bo, Xiaofeng Ren, Dieter Fox: Depth kernel descriptors for object recognition. IROS 2011: 821-826

Liefeng Bo, Xiaofeng Ren, Dieter Fox: Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms. NIPS 2011: 2115-2123

Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu, Atul Kanaujia: Feature-Based Pose Estimation. Visual Analysis of Humans 2011: 225-251

Liefeng Bo, Cristian Sminchisescu: Twin Gaussian Processes for Structured Prediction. International Journal of Computer Vision 87(1-2): 28-52 (2010)

Liefeng Bo, Xiaofeng Ren, Dieter Fox: Kernel Descriptors for Visual Recognition. NIPS 2010: 244-252

Jin Yuan, Liefeng Bo, Kesheng Wang, Tao Yu: Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression. Expert Syst. Appl. 36(2): 3982-3989 (2009)

Liefeng Bo, Cristian Sminchisescu: Supervised Spectral Latent Variable Models. Journal of Machine Learning Research - Proceedings Track 5: 33-40 (2009)

Liefeng Bo, Cristian Sminchisescu: Structured output-associative regression. CVPR 2009: 2403-2410

Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu: Structural SVM for visual localization and continuous state estimation. ICCV 2009: 1157-1164

Dong Han, Liefeng Bo, Cristian Sminchisescu: Selection and context for action recognition. ICCV 2009: 1933-1940

Liefeng Bo, Cristian Sminchisescu: Efficient Match Kernel between Sets of Features for Visual Recognition. NIPS 2009: 135-143

Jian Peng, Liefeng Bo, Jinbo Xu: Conditional Neural Fields. NIPS 2009: 1419-1427

Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo: Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection. Evolutionary Computation 16(2): 225-255 (2008)

Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo, Maoguo Gong: Spectral Clustering Ensemble Applied to SAR Image Segmentation. IEEE T. Geoscience and Remote Sensing 46(7): 2126-2136 (2008)

Liefeng Bo, Ling Wang, Licheng Jiao: Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm. IEEE Transactions on Neural Networks 19(8): 1446-1455 (2008)

Liefeng Bo, Cristian Sminchisescu, Atul Kanaujia, Dimitris N. Metaxas: Fast algorithms for large scale conditional 3D prediction. CVPR 2008

Liefeng Bo, Cristian Sminchisescu: Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression. UAI 2008: 43-52

Liefeng Bo, Ling Wang, Licheng Jiao: Recursive Finite Newton Algorithm for Support Vector Regression in the Primal. Neural Computation 19(4): 1082-1096 (2007)

Licheng Jiao, Liefeng Bo, Ling Wang: Fast Sparse Approximation for Least Squares Support Vector Machine. IEEE Transactions on Neural Networks 18(3): 685-697 (2007)

Liefeng Bo, Licheng Jiao, Ling Wang: Working Set Selection Using Functional Gain for LS-SVM. IEEE Transactions on Neural Networks 18(5): 1541-1544 (2007)

Liefeng Bo, Ling Wang, Licheng Jiao: Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal. PAKDD 2007: 35-46

Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo: Density-Sensitive Evolutionary Clustering. PAKDD 2007: 507-514

Liefeng Bo, Ling Wang, Licheng Jiao: Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation. Neural Computation 18(4): 961-978 (2006)

Ling Wang, Liefeng Bo, Licheng Jiao: Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition. ICONIP (2) 2006: 404-411

Liefeng Bo, Ling Wang, Licheng Jiao: Sparse Gaussian Processes Using Backward Elimination. ISNN (1) 2006: 1083-1088

Ling Wang, Liefeng Bo, Licheng Jiao: Sparse Kernel Ridge Regression Using Backward Deletion. PRICAI 2006: 365-374

Ling Wang, Liefeng Bo, Licheng Jiao: A Modified K-Means Clustering with a Density-Sensitive Distance Metric. RSKT 2006: 544-551

Liefeng Bo, Ling Wang, Licheng Jiao: Training Multi-layer Perceptrons Using MiniMin Approach. CIS (1) 2005: 909-914

Liefeng Bo, Ling Wang, Licheng Jiao: Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error. ISNN (1) 2005: 851-856

Liefeng Bo, Ling Wang, Licheng Jiao: Training Support Vector Machines Using Greedy Stagewise Algorithm. PAKDD 2005: 632-638

Liefeng Bo, Ling Wang, Licheng Jiao: Sparse Bayesian Learning Based on an Efficient Subset Selection. ISNN (1) 2004: 264-269