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Balakrishnan Varadarajan
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2020 – today
- 2024
- [c20]Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra:
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CVPR 2024: 16111-16121 - 2023
- [i8]Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra:
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR abs/2312.00863 (2023) - [i7]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 abs/2312.06736 (2023) - 2022
- [c19]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: 646-652 - [c18]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: 7814-7821 - [i6]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 abs/2205.04624 (2022) - 2021
- [c17]Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov:
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA 2021: 3473-3479 - [i5]Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov:
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR abs/2104.09959 (2021) - [i4]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 abs/2111.14973 (2021) - 2020
- [c16]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: 895-904 - [i3]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 abs/2008.08294 (2020)
2010 – 2019
- 2019
- [c15]Seong Jae Hwang
, Joonseok Lee
Large-Scale Training Framework for Video Annotation. KDD 2019: 2394-2402 - 2018
- [c14]Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev:
Collaborative Deep Metric Learning for Video Understanding. KDD 2018: 481-490 - 2016
- [i2]Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee
YouTube-8M: A Large-Scale Video Classification Benchmark. CoRR abs/1609.08675 (2016) - 2015
- [i1]Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan, Apostol Natsev:
Efficient Large Scale Video Classification. CoRR abs/1505.06250 (2015) - 2014
- [c13]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: 1-6 - 2013
- [c12]Aren Jansen, Emmanuel Dupoux
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. ICASSP 2013: 8111-8115 - 2011
- [j2]Balakrishnan Varadarajan, Sanjeev Khudanpur, Trac D. Tran:
Stepwise Optimal Subspace Pursuit for Improving Sparse Recovery. IEEE Signal Process. Lett. 18(1): 27-30 (2011) - [c11]Balakrishnan Varadarajan, Sanjeev Khudanpur:
Learning and inference algorithms for partially observed structured switching vector autoregressive models. ICASSP 2011: 1281-1284 - [c10]Balakrishnan Varadarajan, Garimella S. V. S. Sivaram, Sanjeev Khudanpur:
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition. ICASSP 2011: 5028-5031 - 2010
- [j1]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): 433-444 (2010)
2000 – 2009
- 2009
- [c9]Balakrishnan Varadarajan, Delip Rao:
$$-extension Hidden Markov Models and Weighted Transducers for Machine Transliteration. NEWS@IJCNLP 2009: 120-123 - [c8]Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex Acero:
Using collective information in semi-supervised learning for speech recognition. ICASSP 2009: 4633-4636 - [c7]Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex Acero:
Maximizing global entropy reduction for active learning in speech recognition. ICASSP 2009: 4721-4724 - [c6]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: 426-434 - 2008
- [c5]Balakrishnan Varadarajan, Sanjeev Khudanpur, Emmanuel Dupoux:
Unsupervised Learning of Acoustic Sub-word Units. ACL (2) 2008: 165-168 - [c4]Balakrishnan Varadarajan, Daniel Povey, Selina M. Chu:
Quick fmllr for speaker adaptation in speech recognition. ICASSP 2008: 4297-4300 - [c3]Daniel Povey, Selina M. Chu, Balakrishnan Varadarajan:
Universal background model based speech recognition. ICASSP 2008: 4561-4564 - [c2]Balakrishnan Varadarajan, Sanjeev Khudanpur:
Automatically learning speaker-independent acoustic subword units. INTERSPEECH 2008: 1333-1336 - [c1]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: 396-401
Coauthor Index
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