Sunday, April 26, 2015
X. Chen, C. Zitnick. Learning a Recurrent Visual Representation for Image Caption Generation, arXiv preprint arXiv:1411.5654 (2014).
G. Kulkarni, V. Premraj, S. Dhar, S. Li, Y. Choi, A. Berg and T. Berg. Baby Talk: Understanding and Generating Image Descriptions, CVPR, 2011.
V. Ordonez, G. Kulkarni and T. Berg. Im2Text: Describing Images Using 1 Million Captioned Photographs, NIPS, 2011.
Sunday, April 19, 2015
X. Chen, A. Shrivastava and A. Gupta. NEIL: Extracting Visual Knowledge from Web Data, ICCV, 2013.
L. Li and F. Li. Optimol: automatic online picture collection via incremental model learning, IJCV, 88.2 (2010): 147-168.
S. Divvala, A. Farhadi and C. Guestrin. Learning Everything about Anything: Webly-Supervised Visual Concept Learning, CVPR, 2014.
Tuesday, April 14, 2015
H. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui and T. Darrell. On learning to localize objects with minimal supervision, ICML, 2014.
X. Chen, A. Shrivastava and A. Gupta. Enriching Visual Knowledge Bases via Object Discovery and Segmentation, CVPR, 2014.
C. Wang, W. Ren, K. Huang and T. Tan. Weakly Supervised Object Localization with Latent Category Learning, ECCV, 2014.
Sunday, April 12, 2015
A. Shrivastava, S. Singh and A. Gupta. Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes, ECCV, 2012.
R. Fergus, Y. Weiss and A. Torralba. Semi-supervised Learning in Gigantic Image Collections, NIPS, 2009.
S. Sukhbaatar, J. Bruna, M. Paluri, L. Bourdev, R. Fergus. Training Convolutional Networks with Noisy Labels, arXiv preprint arXiv:1406.2080 (2014).
Saturday, April 4, 2015
Q. Le, M. Ranzato, R. Monga, M. Devin, K. Chen, G. Corrado, J. Dean and A. Ng. Building high-level features using large scale unsupervised learning, ICML, 2012.
B. Russell, A. Efros, J. Sivic, B. Freeman, A. Zisserman. Using Multiple Segmentations to Discover Objects and their Extent in Image Collections, CVPR, 2006.
Y. Lee and K. Grauman. Object-Graphs for Context-Aware Visual Category Discovery, CVPR, 2010.
Monday, March 30, 2015
B. Yao and F. Li. Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities, CVPR, 2010.
Z. Tu Auto-context and Its Application to High-level Vision Tasks, CVPR, 2008.
D. Hoiem, A.A. Efros, and M. Hebert, Putting Objects in Perspective, IJCV 2008.
Sunday, March 29, 2015
K. Simonyan, A. Zisserman. Two-Stream Convolutional Networks for Action Recognition in Videos, arXiv preprint arXiv:1406.2199 (2014).
A. Jain, A. Gupta, M. Rodriguez, L. Davis. Representing videos using mid-level discriminative patches, CVPR, 2013.
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, F. Li. Large-scale Video Classification with Convolutional Neural Networks, CVPR, 2014.
Sunday, March 22, 2015
S. Singh, A. Gupta and A. Efros. Unsupervised discovery of mid-level discriminative patches, ECCV, 2012.
L. Bourdev and J. Malik. Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations, ICCV, 2009.
Y. Li, L. Liu, C. Shen, A. Hengel. Mid-level Deep Pattern Mining, arXiv preprint arXiv:1411.6382 (2014).
Tuesday, March 17, 2015
D. Parikh and K. Grauman. Relative attributes, ICCV, 2011.
A. Farhadi, I. Endres, D. Hoiem and D. Forsyth. Describing Objects by their Attributes, CVPR, 2009.
N. Kumar, A. Berg, P. Belhumer and S. Nayar. Attribute and Simile Classifiers for Face Verification, ICCV, 2009.
Sunday, March 15, 2015
M. Aubry, D. Maturana, A. Efros, B. Russell, J. Sivic. Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models, CVPR, 2014.
J. Lim, A. Khosla and A. Torralba. FPM: Fine pose Parts-based Model with 3D CAD models, ECCV, 2014.
A. Dosovitskiy, J. Springenberg, T. Brox. Learning to Generate Chairs with Convolutional Neural Networks, arXiv preprint arXiv:1411.5928 (2014).
Wednesday, February 25, 2015
P. Felzenszwalb, R. Girshick, D. McAllester and D. Ramanan. Object detection with discriminatively trained part-based models, TPAMI 32, no. 9 (2010): 1627-1645.
R. Girshick, J. Donahue, T. Darrell, J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation, arXiv preprint arXiv:1311.2524 (2013).
C. Szegedy, S. Reed, D. Erhan, D. Anguelov. Scalable, High-Quality Object Detection, arXiv preprint arXiv:1412.1441 (2014).
Tuesday, February 24, 2015
P. Arbelaez, M. Maire, C. Fowlkes and J. Malik. Contour detection and hierarchical image segmentation, TPAMI 33, no. 5 (2011): 898-916.
J. Carreira and C. Sminchisescu. Constrained parametric min-cuts for automatic object segmentation, CVPR, 2010.
J. Long, E. Shelhamer and T. Darrell. Fully convolutional networks for semantic segmentation, arXiv preprint arXiv:1411.4038 (2014).
Friday, February 20, 2015
A. Krizhevsky, I. Sutskever and G. Hinton. Imagenet classification with deep convolutional neural networks, NIPS, 2012.
K. Simonyan and A. Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition, arXiv preprint arXiv:1409.1556 (2014).
M. Zeiler and R. Fergus. Visualizing and Understanding Convolutional Networks, ECCV, 2014.