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Kratarth Goel
Kratarth Goel
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Social lstm: Human trajectory prediction in crowded spaces
A Alahi, K Goel, V Ramanathan, A Robicquet, L Fei-Fei, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2016
21802016
A recurrent latent variable model for sequential data
J Chung, K Kastner, L Dinh, K Goel, AC Courville, Y Bengio
Advances in neural information processing systems 28, 2015
10602015
A recurrent latent variable model for sequential data
J Chung, K Kastner, L Dinh, K Goel, AC Courville, Y Bengio
Advances in neural information processing systems 28, 2015
10602015
Polyphonic music generation by modeling temporal dependencies using a rnn-dbn
K Goel, R Vohra, JK Sahoo
International Conference on Artificial Neural Networks, 217-224, 2014
552014
Learning to predict human behavior in crowded scenes
A Alahi, V Ramanathan, K Goel, A Robicquet, AA Sadeghian, L Fei-Fei, ...
Group and Crowd Behavior for Computer Vision, 183-207, 2017
462017
Modeling temporal dependencies in data using a DBN-LSTM
R Vohra, K Goel, JK Sahoo
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
362015
Home automation using SSVEP & eye-blink detection based brain-computer interface
K Goel, R Vohra, A Kamath, V Baths
2014 IEEE International conference on Systems, Man, and cybernetics (SMc …, 2014
182014
Restricted multi-scale inference for machine learning
S Tariq, JWV Philbin, K Goel
US Patent App. 16/013,748, 2019
142019
A novel feature selection and extraction technique for classification
K Goel, R Vohra, A Bakshi
2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014
132014
Instance segmentation inferred from machine learning model output
S Tariq, JWV Philbin, K Goel
US Patent 10,817,740, 2020
72020
Learning temporal dependencies in data using a dbn-blstm
K Goel, R Vohra
arXiv preprint arXiv:1412.6093, 2014
52014
Depth data model training with upsampling, losses, and loss balancing
TO Dudzik, K Goel, P Srinivasan, S Tariq
US Patent 11,157,774, 2021
42021
Quadronet: Multi-task learning for real-time semantic depth aware instance segmentation
K Goel, P Srinivasan, S Tariq, J Philbin
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
42021
Depth data model training
TO Dudzik, K Goel, P Srinivasan, S Tariq
US Patent App. 16/684,554, 2021
32021
Head Detection for Improved Pedestrian Detection
K Goel
US Patent App. 16/457,524, 2020
32020
Low variance region detection for improved detection
K Goel, JWV Philbin, S Tariq
US Patent App. 16/706,608, 2020
32020
Low variance detection training
K Goel, JWV Philbin, S Tariq
US Patent App. 16/706,623, 2020
22020
Learning causalities behind human trajectories
K Goel, A Robicquet
Conference on computer vision and pattern recognition, 2015
22015
Multi-task learning for real-time semantic and/or depth aware instance segmentation and/or three-dimensional object bounding
K Goel, JWV Philbin, P Srinivasan, S Tariq
US Patent 10,984,290, 2021
12021
Deepseek: A video captioning tool for making videos searchable
K Goel, J Naik
12016
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