Trevor Darrell - arXivDaily 作者

1511.06838 2015-11-24 cs.CV cs.CL

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets

Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell

1506.03648 2015-10-20 cs.CV cs.LG

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

Deepak Pathak, Philipp Krähenbühl, Trevor Darrell

Comments 12 pages, ICCV 2015

1505.00487 2015-10-20 cs.CV

Sequence to Sequence -- Video to Text

Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko

Comments ICCV 2015 camera-ready. Includes code, project page and LSMDC challenge results

1510.02949 2015-10-13 cs.CV

Spatial Semantic Regularisation for Large Scale Object Detection

Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

Comments accepted at ICCV 2015

1510.02192 2015-10-09 cs.CV

Simultaneous Deep Transfer Across Domains and Tasks

Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko

1412.7144 2015-04-16 cs.CV cs.LG cs.NE

Fully Convolutional Multi-Class Multiple Instance Learning

Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell

Comments in ICLR 2015

1412.7155 2015-04-13 cs.CV cs.LG cs.NE

Learning Compact Convolutional Neural Networks with Nested Dropout

Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell

Comments 4 pages, 2 figures. Accepted as a workshop contribution at ICLR 2015

1411.4038 2015-03-10 cs.CV

Fully Convolutional Networks for Semantic Segmentation

Jonathan Long, Evan Shelhamer, Trevor Darrell

Comments to appear in CVPR (2015)

1411.1091 2015-03-10 cs.CV cs.LG cs.NE

Do Convnets Learn Correspondence?

Jonathan Long, Ning Zhang, Trevor Darrell

1412.3474 2014-12-12 cs.CV

Deep Domain Confusion: Maximizing for Domain Invariance

Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell

1311.6887 2014-11-11 cs.CV

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd Zickler, Kate Saenko

Journal ref IEEE Trans. PAMI 36 (2014) 2185-2198

1410.8586 2014-11-03 cs.CV cs.LG cs.MM cs.NE

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

Tao Chen, Damian Borth, Trevor Darrell, Shih-Fu Chang

Comments 7 pages, 4 figures

1311.2524 2014-10-23 cs.CV

Rich feature hierarchies for accurate object detection and semantic segmentation

Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

Comments Extended version of our CVPR 2014 paper; latest update (v5) includes results using deeper networks (see Appendix G. Changelog)

1409.5403 2014-10-02 cs.CV

Deformable Part Models are Convolutional Neural Networks

Ross Girshick, Forrest Iandola, Trevor Darrell, Jitendra Malik

1408.5093 2014-08-22 cs.CV cs.LG cs.NE

Caffe: Convolutional Architecture for Fast Feature Embedding

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

Comments Tech report for the Caffe software at http://github.com/BVLC/Caffe/

1407.3867 2014-07-16 cs.CV

Part-based R-CNNs for Fine-grained Category Detection

Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell

Comments 16 pages. To appear at European Conference on Computer Vision (ECCV), 2014

1406.6507 2014-06-26 cs.CV cs.LG

Weakly-supervised Discovery of Visual Pattern Configurations

Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell

1405.7102 2014-06-17 cs.MM cs.CV

Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition

Tim Althoff, Hyun Oh Song, Trevor Darrell

Comments ACM Multimedia 2012

1403.1024 2014-05-19 cs.CV cs.LG

On learning to localize objects with minimal supervision

Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell

1311.5591 2014-05-07 cs.CV

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev

Comments 8 pages

1404.1869 2014-04-08 cs.CV

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

Forrest Iandola, Matt Moskewicz, Sergey Karayev, Ross Girshick, Trevor Darrell, Kurt Keutzer

1310.1531 2013-10-08 cs.CV

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

1308.4200 2013-08-21 cs.CV cs.LG stat.ML

Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations

Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko

1301.5348 2013-04-17 cs.LG cs.CV

Why Size Matters: Feature Coding as Nystrom Sampling

Oriol Vinyals, Yangqing Jia, Trevor Darrell

1302.5056 2013-02-21 cs.CV cs.LG

Pooling-Invariant Image Feature Learning

Yangqing Jia, Oriol Vinyals, Trevor Darrell

1210.4920 2012-10-19 cs.LG cs.IR stat.ML

Factorized Multi-Modal Topic Model

Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell

Comments Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012)

1206.3242 2012-06-18 cs.LG stat.ML

Multi-View Learning in the Presence of View Disagreement

C. Christoudias, Raquel Urtasun, Trevor Darrell

Comments Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008)