Nikhil Naik
Nikhil Naik
Salesforce Research
Verified email at - Homepage
Cited by
Cited by
Designing neural network architectures using reinforcement learning
B Baker, O Gupta, N Naik, R Raskar
International Conference on Learning Representations, 2017
Streetscore-predicting the perceived safety of one million streetscapes
N Naik, J Philipoom, R Raskar, C Hidalgo
IEEE Conference on Computer Vision and Pattern Recognition Workshops, 779-785, 2014
Big data and big cities: The promises and limitations of improved measures of urban life
EL Glaeser, SD Kominers, M Luca, N Naik
Economic Inquiry 56 (1), 114-137, 2018
Computer vision uncovers predictors of physical urban change
N Naik, SD Kominers, R Raskar, EL Glaeser, CA Hidalgo
Proceedings of the National Academy of Sciences 114 (29), 7571-7576, 2017
Deep learning the city: Quantifying urban perception at a global scale
A Dubey, N Naik, D Parikh, R Raskar, CA Hidalgo
European conference on computer vision, 196-212, 2016
Accelerating neural architecture search using performance prediction
B Baker, O Gupta, R Raskar, N Naik
International Conference on Learning Representations Workshops, 2018
Single view reflectance capture using multiplexed scattering and time-of-flight imaging
N Naik, S Zhao, A Velten, R Raskar, K Bala
Proceedings of the 2011 SIGGRAPH Asia Conference, 1-10, 2011
Green streets− Quantifying and mapping urban trees with street-level imagery and computer vision
I Seiferling, N Naik, C Ratti, R Proulx
Landscape and Urban Planning 165, 93-101, 2017
Pairwise confusion for fine-grained visual classification
A Dubey, O Gupta, P Guo, R Raskar, R Farrell, N Naik
Proceedings of the European Conference on Computer Vision (ECCV), 70-86, 2018
A light transport model for mitigating multipath interference in time-of-flight sensors
N Naik, A Kadambi, C Rhemann, S Izadi, R Raskar, S Bing Kang
IEEE Conference on Computer Vision and Pattern Recognition, 73-81, 2015
Cities are physical too: Using computer vision to measure the quality and impact of urban appearance
N Naik, R Raskar, CA Hidalgo
American Economic Review 106 (5), 128-32, 2016
Frequency analysis of transient light transport with applications in bare sensor imaging
D Wu, G Wetzstein, C Barsi, T Willwacher, M O’Toole, N Naik, Q Dai, ...
European Conference on Computer Vision, 542-555, 2012
Are safer looking neighborhoods more lively?: A multimodal investigation into urban life
M De Nadai, RL Vieriu, G Zen, S Dragicevic, N Naik, M Caraviello, ...
ACM Multimedia Conference, 1127-1135, 2016
Maximum-entropy fine grained classification
A Dubey, O Gupta, R Raskar, N Naik
Advances in Neural Information Processing Systems, 637-647, 2018
Estimating wide-angle, spatially varying reflectance using time-resolved inversion of backscattered light
N Naik, C Barsi, A Velten, R Raskar
JOSA A 31 (5), 957-963, 2014
Pose estimation using time-resolved inversion of diffuse light
D Raviv, C Barsi, N Naik, M Feigin, R Raskar
Optics express 22 (17), 20164-20176, 2014
A scale adaptive tracker using hybrid color histogram matching scheme
N Naik, S Patil, M Joshi
2009 Second International Conference on Emerging Trends in Engineering …, 2009
Computer vision and real estate: Do looks matter and do incentives determine looks
EL Glaeser, MS Kincaid, N Naik
National Bureau of Economic Research Working Paper Series, 2018
ProGen: Language Modeling for Protein Generation
A Madani, B McCann, N Naik, NS Keskar, N Anand, RR Eguchi, ...
arXiv preprint arXiv:2004.03497, 2020
A fragment based scale adaptive tracker with partial occlusion handling
N Naik, S Patil, M Joshi
TENCON 2009-2009 IEEE Region 10 Conference, 1-6, 2009
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