Data-driven visual similarity for cross-domain image matching
Proceedings of the 2011 SIGGRAPH Asia Conference
Learning to classify human object sketches
ACM SIGGRAPH 2011 Talks
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Annotated free-hand sketches for video retrieval using object semantics and motion
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Lazy selection: a scribble-based tool for smart shape elements selection
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Sketch-based 3D model retrieval using keyshapes for global and local representation
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
SHREC'12 track: sketch-based 3D shape retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Markov random fields for sketch based video retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
A performance evaluation of gradient field HOG descriptor for sketch based image retrieval
Computer Vision and Image Understanding
MagicBrush: image search by color sketch
Proceedings of the 21st ACM international conference on Multimedia
Indexing billions of images for sketch-based retrieval
Proceedings of the 21st ACM international conference on Multimedia
Accurate and efficient cross-domain visual matching leveraging multiple feature representations
The Visual Computer: International Journal of Computer Graphics
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
A comparison of methods for sketch-based 3D shape retrieval
Computer Vision and Image Understanding
CAD/Graphics 2013: Sketch2Jewelry: Semantic feature modeling for sketch-based jewelry design
Computers and Graphics
SalientShape: group saliency in image collections
The Visual Computer: International Journal of Computer Graphics
Sketch-based 3D model retrieval by viewpoint entropy-based adaptive view clustering
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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We introduce a benchmark for evaluating the performance of large-scale sketch-based image retrieval systems. The necessary data are acquired in a controlled user study where subjects rate how well given sketch/image pairs match. We suggest how to use the data for evaluating the performance of sketch-based image retrieval systems. The benchmark data as well as the large image database are made publicly available for further studies of this type. Furthermore, we develop new descriptors based on the bag-of-features approach and use the benchmark to demonstrate that they significantly outperform other descriptors in the literature.