Vinay P. Namboodiri - Google Scholar

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Citations	923	742
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Subhasis ChaudhuriIndian Institute of Technology BombayVerified email at ee.iitb.ac.in
Badri Narayana Patro@GoogleVerified email at google.com
Pravendra SinghPhD Student, Indian Institute of Technology, KanpurVerified email at iitk.ac.in
Vinod K KurmiResearch Scholar at Indian Institute of Technology Kanpur, IndiaVerified email at iitk.ac.in
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Arnab GhoshUniversity of OxfordVerified email at robots.ox.ac.uk
Viveka KulhariaStudent, University of OxfordVerified email at robots.ox.ac.uk
Piyush Rai (पीयूष राय)IIT KanpurVerified email at cse.iitk.ac.in
Vinay Kumar VermaPost Doctoral Fellow, Duke University, USAVerified email at duke.edu
Hakan BilenSchool of Informatics, University of EdinburghVerified email at ed.ac.uk
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Puneet K. DokaniaUniversity of Oxford | Five AIVerified email at robots.ox.ac.uk
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Jerin PhilipInternational Institute of Information Technology, HyderabadVerified email at research.iiit.ac.in
Abhishek JhaPhD student, ESAT-PSI, KU LeuvenVerified email at esat.kuleuven.be
Pratik MazumderPhD Student, Indian Institute of Technology, KanpurVerified email at iitk.ac.in
Anant RajEmpirical Inference Department, MPI TuebingenVerified email at tuebingen.mpg.de
amitabha mukerjeeIIT KanpurVerified email at cse.iitk.ac.in
Mohit BansalJohn R. & Louise S. Parker Associate Professor, CS, UNC Chapel HillVerified email at cs.unc.edu
Vincent De SmetKU LeuvenVerified email at esat.kuleuven.be

Vinay P. Namboodiri

Department of Computer Science and Engineering, IIT Kanpur

Verified email at iitk.ac.in - Homepage

Computer Vision Image Processing Machine Learning


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Multi-agent diverse generative adversarial networks A Ghosh, V Kulharia, VP Namboodiri, PHS Torr, PK Dokania Proceedings of the IEEE conference on computer vision and pattern …, 2018	155	2018
On defocus, diffusion and depth estimation VP Namboodiri, S Chaudhuri Pattern Recognition Letters 28 (3), 311-319, 2007	78	2007
Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera VP Namboodiri, S Chaudhuri 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2008	62	2008
Subspace alignment based domain adaptation for rcnn detector A Raj, VP Namboodiri, T Tuytelaars arXiv preprint arXiv:1507.05578, 2015	36	2015
Regularized depth from defocus VP Namboodiri, S Chaudhuri, S Hadap 2008 15th IEEE International Conference on Image Processing, 1520-1523, 2008	35	2008
Differential Attention for Visual Question Answering B Patro, VP Namboodiri arXiv preprint arXiv:1804.00298, 2018	34	2018
Hetconv: Heterogeneous kernel-based convolutions for deep cnns P Singh, VK Verma, P Rai, VP Namboodiri Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	29	2019
Object and action classification with latent window parameters H Bilen, VP Namboodiri, LJ Van Gool International Journal of Computer Vision 106 (3), 237-251, 2014	29	2014
Contextual rnn-gans for abstract reasoning diagram generation A Ghosh, V Kulharia, A Mukerjee, V Namboodiri, M Bansal arXiv preprint arXiv:1609.09444, 2016	27*	2016
Object and Action Classification with Latent Variables H Bilen, VP Namboodiri, LJ Van Gool British Machine Vision Conference, 17.1-17.11, 2011	26	2011
Attending to discriminative certainty for domain adaptation VK Kurmi, S Kumar, VP Namboodiri Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	24	2019
Learning semantic sentence embeddings using sequential pair-wise discriminator BN Patro, VK Kurmi, S Kumar, VP Namboodiri arXiv preprint arXiv:1806.00807, 2018	21	2018
Deep active learning for object detection. S Roy, A Unmesh, VP Namboodiri BMVC, 91, 2018	20	2018
Deep Domain Adaptation in Action Space. A Jamal, VP Namboodiri, D Deodhare, KS Venkatesh BMVC, 264, 2018	17	2018
Leveraging filter correlations for deep model compression P Singh, VK Verma, P Rai, V Namboodiri The IEEE Winter Conference on Applications of Computer Vision, 835-844, 2020	15	2020
Multimodal differential network for visual question generation BN Patro, S Kumar, VK Kurmi, VP Namboodiri arXiv preprint arXiv:1808.03986, 2018	15	2018
Play and prune: Adaptive filter pruning for deep model compression P Singh, VK Verma, P Rai, VP Namboodiri arXiv preprint arXiv:1905.04446, 2019	14	2019
Action recognition: A region based approach H Bilen, VP Namboodiri, L Van Gool 2011 IEEE Workshop on Applications of Computer Vision (WACV), 294-300, 2011	13	2011
Stability based filter pruning for accelerating deep cnns P Singh, VSR Kadi, N Verma, VP Namboodiri 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1166-1174, 2019	11	2019
Word spotting in silent lip videos A Jha, VP Namboodiri, CV Jawahar 2018 IEEE Winter conference on applications of computer vision (WACV), 150-159, 2018	11	2018

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