Reading for Monday 4/27

Main Reading:
X. Chen, C. Zitnick. Learning a Recurrent Visual Representation for Image Caption Generation, arXiv preprint arXiv:1411.5654 (2014).
Other reading:
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.

Reading for Wednesday 4/20

X. Chen, A. Shrivastava and A. Gupta. NEIL: Extracting Visual Knowledge from Web Data, ICCV, 2013.

And additionally:

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.

Reading for Wednesday 4/15

H. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui and T. Darrell. On learning to localize objects with minimal supervision, ICML, 2014.

And additionally:

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.

Reading for Monday 4/13

A. Shrivastava, S. Singh and A. Gupta. Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes, ECCV, 2012.

And additionally:

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).

Reading for Monday 4/6

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.

And additionally:

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.

Reading for Wednesday 4/1

B. Yao and F. Li. Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities, CVPR, 2010.

And additionally:

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.

Reading for Monday 3/30

K. Simonyan, A. Zisserman. Two-Stream Convolutional Networks for Action Recognition in Videos, arXiv preprint arXiv:1406.2199 (2014).

And additionally:

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.

Reading for Monday 3/23

S. Singh, A. Gupta and A. Efros. Unsupervised discovery of mid-level discriminative patches, ECCV, 2012.

And additionally:

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).

Reading for Wednesday 3/18

D. Parikh and K. Grauman. Relative attributes, ICCV, 2011.

And additionally:

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.

Reading for Monday 3/16

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.

And additionally:

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).

Discussion Board for Assignment

This is the official discussion board for the course assignment. Please see the assignment Here.

Reading for Wednesday 3/4

P. Felzenszwalb, R. Girshick, D. McAllester and D. Ramanan. Object detection with discriminatively trained part-based models, TPAMI 32, no. 9 (2010): 1627-1645.

And additionally:

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).

Reading for Wednesday 2/25

P. Arbelaez, M. Maire, C. Fowlkes and J. Malik. Contour detection and hierarchical image segmentation, TPAMI 33, no. 5 (2011): 898-916.

And additionally:

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).

Reading for Monday 2/23

A. Krizhevsky, I. Sutskever and G. Hinton. Imagenet classification with deep convolutional neural networks, NIPS, 2012.

And additionally:

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.