vivek rathod
vivek rathod
Software Engineer, Google
Verified email at google.com
Title
Cited by
Cited by
Year
Speed/accuracy trade-offs for modern convolutional object detectors
J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
19272017
Im2Calories: towards an automated mobile vision food diary
A Meyers, N Johnston, V Rathod, A Korattikara, A Gorban, N Silberman, ...
Proceedings of the IEEE International Conference on Computer Vision, 1233-1241, 2015
2962015
Bayesian dark knowledge
A Korattikara, V Rathod, K Murphy, M Welling
arXiv preprint arXiv:1506.04416, 2015
2092015
Deep Metric Learning via Facility Location
HO Song, S Jegelka, V Rathod, K Murphy
arXiv preprint arXiv:1612.01213, 2016
2082016
Semantic instance segmentation via deep metric learning
A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ...
arXiv preprint arXiv:1703.10277, 2017
1392017
What's cookin'? interpreting cooking videos using text, speech and vision
J Malmaud, J Huang, V Rathod, N Johnston, A Rabinovich, K Murphy
arXiv preprint arXiv:1503.01558, 2015
1172015
Total property optimization system for energy efficiency and smart buildings
RN Anderson, A Boulanger, V Bhandari, E Boniberger, A Gagneja, ...
US Patent App. 14/341,718, 2015
392015
QuantMiner for mining quantitative association rules
A Salleb-Aouissi, C Vrain, C Nortet, X Kong, V Rathod, D Cassard
The Journal of Machine Learning Research 14 (1), 3153-3157, 2013
392013
Tensorflow object detection api
J Huang, V Rathod, D Chow, C Sun, M Zhu, A Fathi, Z Lu
Code: github. com/tensorflow/models/tree/master/object detection, 2017
302017
Learnable structured clustering framework for deep metric learning
HO Song, S Jegelka, V Rathod, K Murphy
arXiv preprint arXiv:1612.01213 1 (2), 8, 2016
222016
Retinatrack: Online single stage joint detection and tracking
Z Lu, V Rathod, R Votel, J Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
192020
Context r-cnn: Long term temporal context for per-camera object detection
S Beery, G Wu, V Rathod, R Votel, J Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Pooling pyramid network for object detection
P Jin, V Rathod, X Zhu
arXiv preprint arXiv:1807.03284, 2018
92018
Dops: learning to detect 3d objects and predict their 3d shapes
M Najibi, G Lai, A Kundu, Z Lu, V Rathod, T Funkhouser, C Pantofaru, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
82020
Flow rendering of annotation characters
VM Rathod, S Muthamilselvam, SK Shanmugasundaram
US Patent 9,460,089, 2016
72016
Long term temporal context for per-camera object detection
S Beery, G Van Horn, O MacAodha, P Perona
arXiv preprint arXiv:1904.05986, 2019
22019
The surprising impact of mask-head architecture on novel class segmentation
V Birodkar, Z Lu, S Li, V Rathod, J Huang
arXiv preprint arXiv:2104.00613, 2021
2021
Improving computer vision for camera traps: Leveraging practitioner knowledge to build better models
S Beery, G Wu, V Rathod, R Votel, J Huang
2020 ESA Annual Meeting (August 3-6), 0
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection Supplementary Material
S Beery, G Wu, V Rathod, R Votel, J Huang
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