Martin Szummer
Computer Vision and Pattern Recognition · 2001–2014
A researcher in the Science corpus: 9 papers; trusts 346 researchers and is trusted by 1,869 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it; #926 of 21,575 by trust here, #3,191 by citations
- Artificial Intelligence — 39 citations into it; #3,126 of 35,345 by trust here, #6,103 by citations
- Information Systems — 13 citations into it; #7,278 of 8,771 by trust here, #8,258 by citations
- Information Retrieval & Search — 8 citations into it; #821 of 1,022 by trust here, #886 by citations
- Signal Processing — 7 citations into it
- Aerospace Engineering — 6 citations into it
- Optimization & Training — 6 citations into it
- Media Technology — 5 citations into it
Whom Martin Szummer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Thorsten Joachims
- Yuri Boykov
- Michael Collins
- Geoffrey E. Hinton
- Vladimir Kolmogorov
- B. Taskar
- Andrew Zisserman
- Krystian Mikolajczyk
- Tommi S. Jaakkola
Who trusts Martin Szummer overall
- Xiaojin Zhu
- Percy Liang
- Yoshua Bengio
- Mikhail Belkin
- Risi Kondor
- Charu C. Aggarwal
- Ronan Collobert
- Trevor Darrell
- Dacheng Tao
- Li Deng
Papers from Martin Szummer's perspective
Ordered by how strongly the researchers Martin Szummer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Efficient Object Category Recognition Using Classemes (2010) — 464 citations
- Learning CRFs Using Graph Cuts (2008) — 303 citations
- Optimizing Binary MRFs via Extended Roof Duality (2007) — 510 citations
- Learning query-dependent prefilters for scalable image retrieval (2009) — 39 citations
- Incremental on-line adaptation of POMDP-based dialogue managers to extended domains (2014) — 65 citations
- Random walks on the click graph (2007) — 518 citations
- POMDP-based dialogue manager adaptation to extended domains (2013) — 91 citations
- LambdaMerge: merging the results of query reformulations (2011) — 68 citations
- Partially labeled classification with Markov random walks (2001) — 694 citations