Alykhan Tejani
Title
Cited by
Cited by
Year
Photo-realistic single image super-resolution using a generative adversarial network
C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
55552017
Pytorch: An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 2019
55502019
Latent regression forest: Structured estimation of 3d articulated hand posture
D Tang, H Jin Chang, A Tejani, TK Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2014
3482014
Latent-class hough forests for 3d object detection and pose estimation
A Tejani, D Tang, R Kouskouridas, TK Kim
European Conference on Computer Vision, 462-477, 2014
2462014
Advances in Neural Information Processing Systems 32
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Curran Associates, Inc, 8024-8035, 2019
1372019
Faster gaze prediction with dense networks and fisher pruning
L Theis, I Korshunova, A Tejani, F Huszár
arXiv preprint arXiv:1801.05787, 2018
942018
Pytorch: An imperative style, high-performance deep learning library
B Steiner, Z DeVito, S Chintala, S Gross, A Paszke, F Massa, A Lerer, ...
Advances in Neural Information Processing Systems 32, 8026-8037, 2019
922019
Is the deconvolution layer the same as a convolutional layer?
W Shi, J Caballero, L Theis, F Huszar, A Aitken, C Ledig, Z Wang
arXiv preprint arXiv:1609.07009, 2016
832016
Latent-class hough forests for 6 DoF object pose estimation
A Tejani, R Kouskouridas, A Doumanoglou, D Tang, TK Kim
IEEE transactions on pattern analysis and machine intelligence 40 (1), 119-132, 2017
352017
Latent regression forest: structured estimation of 3d hand poses
D Tang, HJ Chang, A Tejani, TK Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1374-1387, 2016
282016
Addressing delayed feedback for continuous training with neural networks in CTR prediction
SI Ktena, A Tejani, L Theis, PK Myana, D Dilipkumar, F Huszár, S Yoo, ...
Proceedings of the 13th ACM Conference on Recommender Systems, 187-195, 2019
132019
Latent-class hough forests for 6 dof object pose estimation
R Kouskouridas, A Tejani, A Doumanoglou, D Tang, TK Kim
arXiv preprint arXiv:1602.01464, 2016
102016
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline
L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ...
arXiv preprint arXiv:2004.13715, 2020
92020
Estimator training method and pose estimating method using depth image
JJ Han, D Tang, TK Kim, SJ Han, BI Yoo, CK Choi, A Tejani, HJ Chang
US Patent 9,449,392, 2016
52016
Estimator training method and pose estimating method using depth image
JJ Han, D Tang, TK Kim, SJ Han, BI Yoo, CK Choi, A Tejani, HJ Chang
US Patent 9,449,392, 2016
52016
Estimator training method and pose estimating method using depth image
JJ Han, D Tang, TK Kim, SJ Han, BI Yoo, CK Choi, A Tejani, HJ Chang
US Patent 9,311,713, 2016
42016
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations
D Guo, SI Ktena, PK Myana, F Huszar, W Shi, A Tejani, M Kneier, S Das
Fourteenth ACM Conference on Recommender Systems, 456-461, 2020
22020
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
C Zhang, Y Liu, Y Xie, SI Ktena, A Tejani, A Gupta, PK Myana, ...
Fourteenth ACM Conference on Recommender Systems, 521-526, 2020
22020
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline
VW Anelli, A Delić, G Sottocornola, J Smith, N Andrade, L Belli, ...
Fourteenth ACM Conference on Recommender Systems, 623-627, 2020
12020
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ...
arXiv e-prints, arXiv: 2004.13715, 2020
2020
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