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Yangqing Jia
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Publications
- 2014
- [c27]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML 2014: 647-655 - [c26]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia 2014: 675-678 - [c24]Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell:
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) 2014 - [i5]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR abs/1408.5093 (2014) - 2013
- [c22]Yangqing Jia, Trevor Darrell:
Latent Task Adaptation with Large-Scale Hierarchies. ICCV 2013: 2080-2087 - [c21]Yangqing Jia, Oriol Vinyals, Trevor Darrell:
On Compact Codes for Spatially Pooled Features. ICML (3) 2013: 549-557 - [c20]Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell:
Grounding spatial relations for human-robot interaction. IROS 2013: 1640-1647 - [c19]Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell:
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies. NIPS 2013: 1842-1850 - [c18]Oriol Vinyals, Yangqing Jia, Trevor Darrell:
Why Size Matters: Feature Coding as Nystrom Sampling. ICLR (Workshop) 2013 - [p1]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A Category-Level 3D Object Dataset: Putting the Kinect to Work. Consumer Depth Cameras for Computer Vision 2013: 141-165 - [i3]Yangqing Jia, Oriol Vinyals, Trevor Darrell:
Pooling-Invariant Image Feature Learning. CoRR abs/1302.5056 (2013) - [i2]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR abs/1310.1531 (2013) - 2012
- [c17]Yangqing Jia, Chang Huang, Trevor Darrell:
Beyond spatial pyramids: Receptive field learning for pooled image features. CVPR 2012: 3370-3377 - [c16]Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell:
Learning with Recursive Perceptual Representations. NIPS 2012: 2834-2842 - [c15]Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell:
Factorized Multi-Modal Topic Model. UAI 2012: 843-851 - [i1]Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell:
Factorized Multi-Modal Topic Model. CoRR abs/1210.4920 (2012) - 2011
- [c14]Yangqing Jia, Mathieu Salzmann, Trevor Darrell:
Learning cross-modality similarity for multinomial data. ICCV 2011: 2407-2414 - [c13]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops 2011: 1168-1174 - [c12]Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell:
Practical 3-D object detection using category and instance-level appearance models. IROS 2011: 793-800 - [c11]Yangqing Jia, Trevor Darrell:
Heavy-tailed Distances for Gradient Based Image Descriptors. NIPS 2011: 397-405 - 2010
- [c10]Yangqing Jia, Mathieu Salzmann, Trevor Darrell:
Factorized Latent Spaces with Structured Sparsity. NIPS 2010: 982-990
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