Publications

Found 17 results
Author Title Type [ Year(Desc)]
Filters: Author is Yangqing Jia  [Clear All Filters]
2010
Jia, Y., Salzmann M., & Darrell T. (2010).  Factorized Latent Spaces with Structured Sparsity. 982-990.
2011
Janoch, A., Karayev S., Jia Y., Barron J. T., Fritz M., Saenko K., et al. (2011).  A Category-Level 3-D Object Dataset: Putting the Kinect to Work. 1168-1174.
Jia, Y., & Darrell T. (2011).  Heavy-Tailed Distances for Gradient Based Image Descriptors.
Jia, Y., Salzmann M., & Darrell T. (2011).  Learning Cross-Modality Similarity for Multinomal Data. 2407-2414.
Saenko, K., Karayev S., Jia Y., Shyr A., Janoch A., Long J., et al. (2011).  Practical 3-D Object Detection Using Category and Instance-Level Appearance Models. 793-800.
2012
Jia, Y., Huang C., & Darrell T. (2012).  Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features. 3370-3377.
Virtanen, S., Jia Y., Klami A., & Darrell T. (2012).  Factorized Multi-Modal Topic Model.
Vinyals, O., Jia Y., Deng L., & Darrell T. (2012).  Learning with Recursive Perceptual Representations.
2013
Jia, Y., & Han M. (2013).  Category Independent Object-Level Saliency Detection.
Jia, Y., Vinyals O., & Darrell T. (2013).  On Compact Codes for Spatially Pooled Features.
Guadarrama, S., Riano L., Golland D., Göhring D., Jia Y., Klein D., et al. (2013).  Grounding Spatial Relations for Human-Robot Interaction.
Jia, Y., & Darrell T. (2013).  Latent Task Adaptation with Large-Scale Hierarchies.
Jia, Y., Abbott J., Austerweil J., Griffiths T., & Darrell T. (2013).  Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.
Vinyals, O., Jia Y., & Darrell T. (2013).  Why Size Matters: Feature Coding as Nystrom Sampling.
2014
Jia, Y., Shelhamer E., Donahue J., Karayev S., Long J., Girshick R., et al. (2014).  Caffe: Convolutional Architecture for Fast Feature Embedding. 675-678.
Donahue, J., Jia Y., Vinyals O., Hoffman J., Zhang N., Tzeng E., et al. (2014).  DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
Hoffman, J., Tzeng E., Donahue J., Jia Y., Saenko K., & Darrell T. (2014).  One-Shot Adaptation of Supervised Deep Convolutional Models.