Vinay P. Namboodiri
Vinay P. Namboodiri
Department of Computer Science and Engineering, IIT Kanpur
Verified email at - Homepage
Cited by
Cited by
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
On defocus, diffusion and depth estimation
VP Namboodiri, S Chaudhuri
Pattern Recognition Letters 28 (3), 311-319, 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
Regularized depth from defocus
VP Namboodiri, S Chaudhuri, S Hadap
2008 15th IEEE International Conference on Image Processing, 1520-1523, 2008
Subspace alignment based domain adaptation for rcnn detector
A Raj, VP Namboodiri, T Tuytelaars
arXiv preprint arXiv:1507.05578, 2015
Differential Attention for Visual Question Answering
B Patro, VP Namboodiri
arXiv preprint arXiv:1804.00298, 2018
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
Object and Action Classification with Latent Variables
H Bilen, VP Namboodiri, LJ Van Gool
British Machine Vision Conference, 17.1-17.11, 2011
Contextual rnn-gans for abstract reasoning diagram generation
A Ghosh, V Kulharia, A Mukerjee, V Namboodiri, M Bansal
arXiv preprint arXiv:1609.09444, 2016
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
Deep active learning for object detection.
S Roy, A Unmesh, VP Namboodiri
BMVC, 91, 2018
Learning semantic sentence embeddings using sequential pair-wise discriminator
BN Patro, VK Kurmi, S Kumar, VP Namboodiri
arXiv preprint arXiv:1806.00807, 2018
Attending to discriminative certainty for domain adaptation
VK Kurmi, S Kumar, VP Namboodiri
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 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
Multimodal differential network for visual question generation
BN Patro, S Kumar, VK Kurmi, VP Namboodiri
arXiv preprint arXiv:1808.03986, 2018
Improved kernel-based object tracking under occluded scenarios
VP Namboodiri, A Ghorawat, S Chaudhuri
Computer Vision, Graphics and Image Processing, 504-515, 2006
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
U-cam: Visual explanation using uncertainty based class activation maps
BN Patro, M Lunayach, S Patel, VP Namboodiri
Proceedings of the IEEE International Conference on Computer Vision, 7444-7453, 2019
Deep Domain Adaptation in Action Space.
A Jamal, VP Namboodiri, D Deodhare, KS Venkatesh
BMVC, 264, 2018
Sketchsoup: Exploratory ideation using design sketches
R Arora, I Darolia, VP Namboodiri, K Singh, A Bousseau
Computer Graphics Forum 36 (8), 302-312, 2017
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