Alykhan Tejani
Publications by Year
Research Areas
Recommender Systems and Techniques, Advanced Image and Video Retrieval Techniques, Mobile Crowdsensing and Crowdsourcing, Advanced Neural Network Applications, Human Pose and Action Recognition
Most-Cited Works
- → PyTorch: An Imperative Style, High-Performance Deep Learning Library(2019)16,163 cited
- → Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network(2017)12,115 cited
- → Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture(2014)405 cited
- → Latent-Class Hough Forests for 3D Object Detection and Pose Estimation(2014)284 cited
- → Faster gaze prediction with dense networks and Fisher pruning(2018)138 cited
- → Latent-Class Hough Forests for 6 DoF Object Pose Estimation(2017)71 cited
- → Latent Regression Forest: Structured Estimation of 3D Hand Poses(2016)49 cited
- → Addressing delayed feedback for continuous training with neural networks in CTR prediction(2019)48 cited
- → Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems(2020)38 cited