Venkatesh Babu Radhakrishnan

About

R. Venkatesh Babu is a professor in the department of Computational and Data Sciences (CDS), Indian Institute of Science (IISc), Bangalore. He received his Ph.D. degree from the Dept. of Electrical Engineering, Indian Institute of Science, Bangalore. He held postdoctoral positions at NTNU, Norway and IRISA/INRIA, Rennes, France. Subsequently he worked as a research fellow at NTU, Singapore. He spent couple of years working in the industry before joining IISc in August 2010. His research interests span Computer Vision, Deep Learning and Robustness of Deep models and multimedia. He is a recipient of Satish Dhawan Young Engineer award, in 2019 and SERB STAR award in 2020. He served as area chair for CVPR'22, AAAI'22, WACV'22, ACML'22. He is a senior member of IEEE.

Employment

• Indian Institute of Science Professor
  2010 - Present

Education

• Indian Institute of Science PhD
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (276)

• A Closer Look at Smoothness in Domain Adversarial Training
  arXiv 2022 DOI: 10.48550/arXiv.2206.08213
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• A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection
  Journal of Neuroscience 2022 DOI: 10.1523/JNEUROSCI.0164-22.2022
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• Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
  arXiv 2022
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• Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
  arXiv 2022
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• Balancing Discriminability and Transferability for Source-Free Domain Adaptation
  arXiv 2022 DOI: 10.48550/arXiv.2206.08009
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• Completely Self-supervised Crowd Counting via Distribution Matching
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022 DOI: 10.1007/978-3-031-19821-2_11
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• Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
  arXiv 2022 DOI: 10.48550/arXiv.2207.13247
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• Efficient and Effective Augmentation Strategy for Adversarial Training
  arXiv 2022 DOI: 10.48550/arXiv.2210.15318
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• Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration
  arXiv 2022 DOI: 10.48550/arXiv.2207.09855
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• Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
  arXiv 2022 DOI: 10.48550/arXiv.2208.03764
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