Machine Learning India bio photo

Machine Learning India

Fostering science and machine learning in India

Email Mailing List Twitter Github

Are you a student, professor, CEO or Maschinenmensch? Subscribe to ml-india's google group to join the discussion and recieve updates, news and resources about India's ml-ecosystem. Click here

India's stand in CVPR 2016


The International Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition. CVPR is the number one venue in Computer Vision and number seven in Engineering and Computer Science as ranked by Google Scholar’s h-index metric in 2015. It also has the highest h-index of any conference in any field, is the leading IEEE publication including journals and it is ranked in the top 70 of all publications. CVPR 2016 was held in Las Vegas from June 26-July 1, 2016.

Comparison of top contributors at CVPR 2016 by number of paper accepts

US tops the chart this year as well and has been the top research contributor with the highest number of accepts in 2016, but with a minor drop in numbers from 2015. China, UK and India bagged increased number of accepts from 2015.

Table 1: Statistics of accepted papers from institutions for 2015 and 2016
Institutions
Publications in 2016
Publications in 2015
IISc Bangalore
2
1
IIT Kanpur
3
0
IIIT Hyderabad
3
0
IIT Madras
2
0
IIIT-Delhi
1
1
Table 2: Contributions from corporates and institutions in 2015 and 2016
Year
Corporations
Institutions
Publications in 2016
0
11
Publications in 2015
2
3
Table 3: Indian contributions at CVPR 2016
S.No
Author
Title
Affiliation
1. Rengarajan, V., Rajagopalan, A.N., Aravind, R. From bows to arrows: Rolling shutter rectification of urban scenes
IIT Madras
2. Kruthiventi, S.S.S., Gudisa, V., Dholakiya, J.H., Babu, R.V. Saliency unified: A deep architecture for simultaneous eye fixation prediction and salient object segmentation
Indian Institute of Science, Bangalore
3. Aggarwal, R., Vohra, A., Namboodiri, A.M. Panoramic stereo videos with a single camera
IIIT Hyderabad.
4. Shanu, I., Arora, C., Singla, P. Min norm point algorithm for higher order MRF-MAP inference
IIIT Delhi
5. Pramod, R.T., Arun, S.P. Do computational models differ systematically from human object perception?
Indian Institute of Science, Bangalore
6. Singh, S., Arora, C., Jawahar, C.V. First person action recognition using deep learned descriptors
IIIT Hyderabad
7. Xian, Y., Akata, Z., Sharma, G., Nguyen, Q., Hein, M., Schiele, B. Latent embeddings for zero-shot classification
MPI for Informatics, IIT Kanpur, Saarland University
8. Bhattarai, B., Sharma, G., Jurie, F. CP-mtML: Coupled projection multi-task metric learning for large scale face retrieval
MPI for Informatics, University of Caen, France, IIT Kanpur
9. Sikka, K., Sharma, G., Bartlett, M. LOMo: Latent ordinal model for facial analysis in videos
IIT Kanpur, UCSD, MPI for Informatics
10. Alayrac, J.-B., Bojanowski, P., Agrawal, N., Sivic, J., Laptev, I., Lacoste-Julien, S. Unsupervised learning from narrated instruction videos
Ecole Normale Superieure, IIIT Hyderabad,
11. Ravindran, S.K., Mittal, A. CoMaL: Good features to match on object boundaries
IIT Madras