Suivre
Shrinidhi Kowshika Lakshmikanth
Shrinidhi Kowshika Lakshmikanth
Adresse e-mail validée de stanford.edu
Titre
Citée par
Citée par
Année
OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
A Seth, JL Hicks, TK Uchida, A Habib, CL Dembia, JJ Dunne, CF Ong, ...
PLoS computational biology 14 (7), e1006223, 2018
10432018
Characterizing geographic variation in well-being using tweets
H Schwartz, J Eichstaedt, M Kern, L Dziurzynski, R Lucas, M Agrawal, ...
International AAAI Conference on Web and Social Media (ICWSM) 7 (1), 583-591, 2013
3402013
Exploiting sparse semantic HD maps for self-driving vehicle localization
WC Ma, I Tartavull, IA Bârsan, S Wang, M Bai, G Mattyus, N Homayounfar, ...
Intelligent Robots and Systems (IROS), 5304-5311, 2019
1352019
Deep Multi-Sensor Lane Detection
M Bai, G Mattyus, N Homayounfar, S Wang, SK Lakshmikanth, R Urtasun
Intelligent Robots and Systems (IROS), 3102-3109, 2018
992018
Systems and Methods for Generating Sparse Geographic Data for Autonomous Vehicles
N Homayounfar, WC Ma, SK Lakshmikanth, R Urtasun
US Patent App. 16/123,343, 2019
742019
Hierarchical recurrent attention networks for structured online maps
N Homayounfar, WC Ma, SK Lakshmikanth, R Urtasun
Computer Vision and Pattern Recognition (CVPR), 3417-3426, 2018
742018
The value of precision in probability assessment: Evidence from a large-scale geopolitical forecasting tournament
JA Friedman, JD Baker, BA Mellers, PE Tetlock, R Zeckhauser
International Studies Quarterly 62 (2), 410-422, 2018
702018
Validating the contribution-weighted model: Robustness and cost-benefit analyses
E Chen, DV Budescu, SK Lakshmikanth, BA Mellers, PE Tetlock
Decision Analysis 13 (2), 128-152, 2016
422016
Lightweight vehicle localization systems and methods
WC Ma, S Wang, N Homayounfar, SK Lakshmikanth, R Urtasun
US Patent 10,859,384, 2020
392020
Learning from unlabelled videos using contrastive predictive neural 3d mapping
AW Harley, SK Lakshmikanth, F Li, X Zhou, HYF Tung, K Fragkiadaki
International Conference on Learning Representations (ICLR), 2020
282020
Explaining the ‘Trump Gap’in Social Distancing Using COVID Discourse
A Van Loon, S Stewart, B Waldon, SK Lakshmikanth, I Shah, SC Guntuku, ...
Workshop on NLP for COVID-19 (Part 2) at EMNLP, 2020
112020
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
AW Harley, SK Lakshmikanth, P Schydlo, K Fragkiadaki
European Conference on Computer Vision (ECCV), 598-614, 2020
82020
Embodied view-contrastive 3d feature learning
AW Harley, F Li, SK Lakshmikanth, X Zhou, HYF Tung, K Fragkiadaki
arXiv preprint arXiv:1906.03764, 2019
42019
Exploiting sparse semantic hd maps for affordable localization
WC Ma, I Tartavull, IA Barsan, S Wang, M Bai, G Mattyus, N Homayounfar, ...
Intelligent Robots and Systems (IROS), 2019
32019
Why Quantitative Probability Assessments are Empirically Justifiable in Foreign Policy Analysis
JA Friedman, JD Baker, BA Mellers, PE Tetlock, R Zeckhauser
Foreign Policy Analysis, 1-33, 2015
32015
Not just semantics: social distancing and covid discourse on twitter
A van Loon, S Stewart, B Waldon, SK Lakshmikanth, I Shah, SC Guntuku, ...
ACL 2020 Workshop on Natural Language Processing for COVID-19, 2020
12020
An Interactive Agent Foundation Model
arxiv, 2024
2024
Predicting and characterizing county wellbeing through the language of social media
G Park, JC Eichstaedt, HA Schwartz, ML Kern, L Dziurzynski, M Agrawal, ...
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–18