Andreas Veit

I received my PhD in Computer Science working with Serge Belongie at Cornell University and Cornell Tech in 2018. My research interests are in Deep Learning, Computer Vision and Machine Learning.
I received a BS and MS in Information Engineering and Management both from Karlsruhe Institute of Technology (KIT), Germany, in 2010 and 2013.

See also my personal web page.

Publications

2018

Convolutional Networks with Adaptive Inference Graphs

Veit, Andreas; Belongie, Serge

Convolutional Networks with Adaptive Inference Graphs

European Conference on Computer Vision (ECCV), Munich, Germany, 2018.

(Links | BibTeX)

Semantic Segmentation with Scarce Data

Katsman, Isay; Tripathi, Rohun; Veit, Andreas; Belongie, Serge

Semantic Segmentation with Scarce Data

International Conference of Machine Learning Workshop (ICMLW), Stockholm, Sweden, 2018.

(Links | BibTeX)

Separating Self-Expression and Visual Content in Hashtag Supervision

Veit, Andreas; Nickel, Maximilian; Belongie, Serge; van der Maaten, Laurens

Separating Self-Expression and Visual Content in Hashtag Supervision

Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018.

(Links | BibTeX)

Learning to Evaluate Image Captioning

Cui, Yin; Yang, Guandao; Veit, Andreas; Huang, Xun; Belongie, Serge

Learning to Evaluate Image Captioning

Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018.

(Links | BibTeX)

2017

Crowd Research: Open and Scalable University Laboratories

Vaish, Rajan; Gaikwad, Snehalkumar (Neil); Kovacs, Geza; Veit, Andreas; Krishna, Ranjay; Ibarra, Imanol Arrieta; Simoiu, Camelia; Wilber, Michael; Belongie, Serge; Goel, Sharad; Davis, James; Bernstein, Michael

Crowd Research: Open and Scalable University Laboratories

User Interface Software and Technology (UIST), ACM, Quebec City, 2017.

(Links | BibTeX)

Conditional Similarity Networks

Veit, Andreas; Belongie, Serge; Karaletsos, Theofanis

Conditional Similarity Networks

Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017.

(Links | BibTeX)

Learning From Noisy Large-Scale Datasets With Minimal Supervision

Veit, Andreas; Alldrin, Neil; Chechik, Gal; Krasin, Ivan; Gupta, Abhinav; Belongie, Serge

Learning From Noisy Large-Scale Datasets With Minimal Supervision

Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017.

(Links | BibTeX)

2016

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Veit, Andreas; Wilber, Michael; Belongie, Serge

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Neural Information Processing Systems (NIPS), Barcelona, 2016.

(Links | BibTeX)

Learning to Detect and Match Keypoints with Deep Architectures

Altwaijry, Hani; Veit, Andreas; Belongie, Serge

Learning to Detect and Match Keypoints with Deep Architectures

British Machine Vision Conference (BMVC), York, UK, 2016.

(Links | BibTeX)

COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

Veit, Andreas; Matera, Tomas; Neumann, Lukas; Matas, Jiri; Belongie, Serge

COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

arXiv preprint arXiv:1601.07140, 2016.

(Links | BibTeX)

2015

Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences

Veit*, Andreas; Kovacs*, Balazs; Bell, Sean; McAuley, Julian; Bala, Kavita; Belongie, Serge

Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences

International Conference on Computer Vision (ICCV), Santiago, Chile, 2015, (*The first two authors contributed equally).

(Abstract | Links | BibTeX)

On Optimizing Human-Machine Task Assignments

Veit, Andreas; Wilber, Michael; Vaish, Rajan; Belongie, Serge; Davis, James; others,

On Optimizing Human-Machine Task Assignments

AAAI Conference on Human Computation and Crowdsourcing (HCOMP), San Diego, CA, 2015, (Work in Progress).

(Abstract | Links | BibTeX)