Balakrishnan Varadarajan

According to our database1, Balakrishnan Varadarajan authored at least 25 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
SqueezeSAM: User friendly mobile interactive segmentation.
CoRR, 2023

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
CoRR, 2023

2022
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Identifying Driver Interactions via Conditional Behavior Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
TNT: Target-driven Trajectory Prediction.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Large-Scale Training Framework for Video Annotation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Collaborative Deep Metric Learning for Video Understanding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016
YouTube-8M: A Large-Scale Video Classification Benchmark.
CoRR, 2016

2015
Efficient Large Scale Video Classification.
CoRR, 2015

2014
Exploring the Relative Role of Bottom-up and Top-down Information in Phoneme Learning.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

2011
Stepwise Optimal Subspace Pursuit for Improving Sparse Recovery.
IEEE Signal Process. Lett., 2011

Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Learning and inference algorithms for partially observed structured switching vector autoregressive models.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maximization criterion.
Comput. Speech Lang., 2010

2009
Data-Derived Models for Segmentation with Application to Surgical Assessment and Training.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Maximizing global entropy reduction for active learning in speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2009

Using collective information in semi-supervised learning for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2009

$$-extension Hidden Markov Models and Weighted Transducers for Machine Transliteration.
Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, 2009

2008
Automatic Recognition of Surgical Motions Using Statistical Modeling for Capturing Variability.
Proceedings of the Medicine Meets Virtual Reality 16, 2008

Automatically learning speaker-independent acoustic subword units.
Proceedings of the INTERSPEECH 2008, 2008

Quick fmllr for speaker adaptation in speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008

Universal background model based speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008

Unsupervised Learning of Acoustic Sub-word Units.
Proceedings of the ACL 2008, 2008


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