| Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups C Xu, LN Govindarajan, Y Zhang, L Cheng International Journal of Computer Vision 123 (3), 454-478, 2017 | 131 | 2017 |
| Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli MG Napolitano, M Landon, CJ Gregg, MJ Lajoie, L Govindarajan, ... Proceedings of the National Academy of Sciences 113 (38), E5588-E5597, 2016 | 73 | 2016 |
| Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience A Fengler, LN Govindarajan, T Chen, M Frank Elife, 2020 | 50 | 2020 |
| Stable and expressive recurrent vision models D Linsley*, AK Ashok*, LN Govindarajan*, R Liu, T Serre Advances in Neural Information Processing Systems 33, 10456--10467, 2020 | 38 | 2020 |
| Hand action detection from ego-centric depth sequences with error-correcting Hough transform C Xu, LN Govindarajan, L Cheng Pattern Recognition 72, 494-503, 2017 | 24 | 2017 |
| Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures S Wu, KJ Tan, LN Govindarajan, JC Stewart, L Gu, JWH Ho, M Katarya, ... PLoS biology 17 (6), e3000346, 2019 | 16 | 2019 |
| Tracking without re-recognition in humans and machines D Linsley, G Malik, J Kim, LN Govindarajan, E Mingolla, T Serre Advances in Neural Information Processing Systems 34, 19473-19486, 2021 | 10 | 2021 |
| A random-forest random field approach for cellular image segmentation M Jin, LN Govindarajan, L Cheng 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1251-1254, 2014 | 10 | 2014 |
| Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics KN Schuch*, LN Govindarajan*, Y Guo, SN Baskoylu, S Kim, B Kimia, ... bioRxiv, 2020 | 7 | 2020 |
| 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI) D Jin, LN Govindarajan, L Cheng | 7 | 2013 |
| Fast inference of spinal neuromodulation for motor control using amortized neural networks LN Govindarajan, JS Calvert, SR Parker, M Jung, R Darie, P Miranda, ... Journal of neural engineering 19 (5), 056037, 2022 | 3 | 2022 |
| Robust pose tracking with a joint model of appearance and shape Y Guo, LN Govindarajan, B Kimia, T Serre arXiv preprint arXiv:1806.11011, 2018 | 3 | 2018 |
| Computing a human-like reaction time metric from stable recurrent vision models L Goetschalckx, LN Govindarajan, A Karkada Ashok, A Ahuja, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| The emergence of visual simulation in task-optimized recurrent neural networks AK Ashok, LN Govindarajan, D Linsley, D Sheinberg, T Serre SVRHM 2022 Workshop@ NeurIPS, 2022 | 2 | 2022 |
| Encoder-Decoder Neural Architectures for Fast Amortized Inference of Cognitive Process Models A Fengler, LN Govindarajan, MJ Frank Cognitive Science Society, 2020 | 2 | 2020 |
| An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition L Liu, Y Yang, LN Govindarajan, S Wang, B Hu, L Cheng, DS Rosenblum arXiv preprint arXiv:1701.00903, 2017 | 2 | 2017 |
| Correction to: Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups C Xu, LN Govindarajan, Y Zhang, J Stewart, Z Bichler, S Jesuthasan, ... International Journal of Computer Vision 126, 897-897, 2018 | 1 | 2018 |
| Recurrent neural circuits D Linsley, J Kim, T Serre, AK Ashok, LN Govindarajan, RG Liu US Patent 11,636,346, 2023 | | 2023 |
| Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning LN Govindarajan, RG Liu, D Linsley, AK Ashok, M Reuter, M Frank, ... | | 2023 |
| Toward modeling visual routines of object segmentation with biologically inspired recurrent vision models L Goetschalckx, M Zolfaghar, AK Ashok, LN Govindarajan, D Linsley, ... Journal of Vision 22 (14), 3773-3773, 2022 | | 2022 |
Li ChengProfessor, Department of ECE, University of Alberta, Canada在 ualberta.ca 的电子邮件经过验证
