Balakrishnan Varadarajan

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 12

Top Topics

Video Classification

Information Fusion

High Prediction Accuracy

Top Venues

Publications

Balakrishnan Varadarajan, Bilge Soran, Forrest N. Iandola, Xiaoyu Xiang, Yunyang Xiong, Lemeng Wu, Chenchen Zhu, Raghuraman Krishnamoorthi, Vikas Chandra
SqueezeSAM: User friendly mobile interactive segmentation. CoRR (2023)
Qiujing Lu, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan, Paul Covington
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction. CoRR (2022)
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. ICRA (2022)
Qiujing Lu, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan, Paul Covington
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction. ICRA (2022)
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. CoRR (2021)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR (2021)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA (2021)
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
TNT: Target-driven Trajectory Prediction. CoRL (2020)
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
TNT: Target-driveN Trajectory Prediction. CoRR (2020)
Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev
Large-Scale Training Framework for Video Annotation. KDD (2019)
Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev
Collaborative Deep Metric Learning for Video Understanding. KDD (2018)
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan
YouTube-8M: A Large-Scale Video Classification Benchmark. CoRR (2016)
Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan, Apostol Natsev
Efficient Large Scale Video Classification. CoRR (2015)
Abdellah Fourtassi, Thomas Schatz, Balakrishnan Varadarajan, Emmanuel Dupoux
Exploring the Relative Role of Bottom-up and Top-down Information in Phoneme Learning. ACL (2) (2014)
Aren Jansen, Emmanuel Dupoux, Sharon Goldwater, Mark Johnson, Sanjeev Khudanpur, Kenneth Church, Naomi Feldman, Hynek Hermansky, Florian Metze, Richard C. Rose, Mike Seltzer, Pascal Clark, Ian McGraw, Balakrishnan Varadarajan, Erin Bennett, Benjamin Börschinger, Justin T. Chiu, Ewan Dunbar, Abdellah Fourtassi, David Harwath, Chia-ying Lee, Keith D. Levin, Atta Norouzian, Vijayaditya Peddinti, Rachael Richardson, Thomas Schatz, Samuel Thomas
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. ICASSP (2013)
Balakrishnan Varadarajan, Sanjeev Khudanpur, Trac D. Tran
Stepwise Optimal Subspace Pursuit for Improving Sparse Recovery. IEEE Signal Process. Lett. 18 (1) (2011)
Balakrishnan Varadarajan, Sanjeev Khudanpur
Learning and inference algorithms for partially observed structured switching vector autoregressive models. ICASSP (2011)
Balakrishnan Varadarajan, Garimella S. V. S. Sivaram, Sanjeev Khudanpur
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition. ICASSP (2011)
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex Acero
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maximization criterion. Comput. Speech Lang. 24 (3) (2010)
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex Acero
Using collective information in semi-supervised learning for speech recognition. ICASSP (2009)
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex Acero
Maximizing global entropy reduction for active learning in speech recognition. ICASSP (2009)
Balakrishnan Varadarajan, Delip Rao
$$-extension Hidden Markov Models and Weighted Transducers for Machine Transliteration. NEWS@IJCNLP (2009)
Balakrishnan Varadarajan, Carol E. Reiley, Henry Lin, Sanjeev Khudanpur, Gregory D. Hager
Data-Derived Models for Segmentation with Application to Surgical Assessment and Training. MICCAI (1) (2009)
Balakrishnan Varadarajan, Sanjeev Khudanpur
Automatically learning speaker-independent acoustic subword units. INTERSPEECH (2008)
Balakrishnan Varadarajan, Sanjeev Khudanpur, Emmanuel Dupoux
Unsupervised Learning of Acoustic Sub-word Units. ACL (2) (2008)
Carol E. Reiley, Henry C. Lin, Balakrishnan Varadarajan, Balázs Vágvölgyi, Sanjeev Khudanpur, David D. Yuh, Gregory D. Hager
Automatic Recognition of Surgical Motions Using Statistical Modeling for Capturing Variability. MMVR (2008)
Daniel Povey, Selina M. Chu, Balakrishnan Varadarajan
Universal background model based speech recognition. ICASSP (2008)
Balakrishnan Varadarajan, Daniel Povey, Selina M. Chu
Quick fmllr for speaker adaptation in speech recognition. ICASSP (2008)