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Krishna Kumar Singh
Krishna Kumar Singh
Adobe Research
Verified email at ucdavis.edu - Homepage
Title
Cited by
Cited by
Year
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
KK Singh, YJ Lee
International Conference on Computer Vision (ICCV), 2017, 2017
597*2017
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
KK Singh, U Ojha, YJ Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
1132019
End-to-End Localization and Ranking for Relative Attributes
KK Singh, YJ Lee
European Conference on Computer Vision (ECCV), 2016, 2016
932016
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
KK Singh, F Xiao, YJ Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 2016
722016
Don't judge an object by its context: Learning to overcome contextual bias
KK Singh, D Mahajan, K Grauman, YJ Lee, M Feiszli, D Ghadiyaram
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
712020
Hide-and-seek: A data augmentation technique for weakly-supervised localization and beyond
KK Singh, H Yu, A Sarmasi, G Pradeep, YJ Lee
arXiv preprint arXiv:1811.02545, 2018
712018
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
Y Li, KK Singh, U Ojha, YJ Lee
arXiv preprint arXiv:1911.11758, 2019
592019
Identifying First-person Camera Wearers in Third-person Videos
C Fan, J Lee, M Xu, KK Singh, YJ Lee, DJ Crandall, MS Ryoo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
552017
KrishnaCam: Using a Longitudinal, Single-Person, Egocentric Dataset for Scene Understanding Tasks
KK Singh, K Fatahalian, AA Efros
Winter Conference on Applications of Computer Vision (WACV), 2016, 2016
542016
You reap what you sow: Using Videos to Generate High Precision Object Proposals for Weakly-supervised Object Detection
KK Singh, YJ Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
342019
Who will share my image? Predicting the content diffusion path in online social networks
W Hu, KK Singh, F Xiao, J Han, CN Chuah, YJ Lee
Proceedings of the eleventh ACM international conference on web search and …, 2018
302018
Dock: Detecting objects by transferring common-sense knowledge
KK Singh, S Divvala, A Farhadi, YJ Lee
Proceedings of the European Conference on Computer Vision (ECCV), 492-508, 2018
292018
Video summarization using semantic information
M Hwangbo, KK Singh, T Lee, O Tickoo
US Patent 10,229,324, 2019
252019
Giraffe hd: A high-resolution 3d-aware generative model
Y Xue, Y Li, KK Singh, YJ Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
242022
A review of publicly available automatic brain segmentation methodologies, machine learning models, recent advancements, and their comparison
MK Singh, KK Singh
Annals of Neurosciences 28 (1-2), 82-93, 2021
172021
Imagine: Image synthesis by image-guided model inversion
P Wang, Y Li, KK Singh, J Lu, N Vasconcelos
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
172021
Collaging class-specific gans for semantic image synthesis
Y Li, Y Li, J Lu, E Shechtman, YJ Lee, KK Singh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
152021
Insetgan for full-body image generation
A Frühstück, KK Singh, E Shechtman, NJ Mitra, P Wonka, J Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
142022
CPU and/or GPU: Revisiting the GPU vs. CPU myth
K Kothapalli, DS Banerjee, PJ Narayanan, S Sood, AK Bahl, S Sharma, ...
arXiv preprint arXiv:1303.2171, 2013
142013
Spatially-adaptive multilayer selection for gan inversion and editing
G Parmar, Y Li, J Lu, R Zhang, JY Zhu, KK Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
132022
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Articles 1–20