Assistant professor Convenor, Visual Computing Lab Room no. 205 Department of Computational and Data Sciences (CDS) Indian Institute of Science (IISc) Bangalore, India 560012 e-mail: anirban[at]iisc[dot]ac[dot]in

I am an Assistant Professor in the Department of Computational and Data Sciences (CDS), Indian Institute of Science, Bangalore and the convenor of the Visual Computing Lab (VCL). From December’16 to June’17, I worked as a researcher at Robert Bosch Research and Technology Centre, India. Prior to that, I was a research fellow in the Rapid-Rich Object Search (ROSE) Lab at Nanyang Technological University, Singapore working on large scale, deployable video surveillance systems. From October’14 to November’15, I worked as a post-doctoral fellow in the A*STAR-NUS Clinical Imaging Research Centre at National University of Singapore. I completed my Ph.D. in Electrical Engineering from University of California, Riverside under the supervision of Dr. Amit K. Roy-Chowdhury in August, 2014. I obtained my M.S. from the same institute in 2010 and prior to that, my bachelors in Electrical Engineering from Jadavpur University, Kolkata, India.

[Google Scholar]     [LinkedIn]     [CV (available upon request)]

Research interests

I am interested in developing novel computer vision and machine learning algorithms to solve visual analysis problems arising from diverse real-world applications. Majority of my current research can be categorized into three major thematic areas -

• Data-efficient Deep Learning: zero-shot/few-shot knowledge distillation, continual learning, source-free/unsupervised domain adaptation, data-free adversarial defense, privacy-preserving ML etc.

• Cross-modal Computer Vision: text-based image retrieval, sketch-guided localization, scene-graph generation, visual question answering etc.

• Video Surveillance: robust and scalable person-reidentification, anomaly detection, human gait and pose analysis etc.

In the past, I have extensively worked on biological and medical image analysis problems (e.g., registration, cell segmentation, spatio-temporal cell tracking, cell and tissue resolution 3D reconstruction of confocal image stacks, analysis of clinical MR and CT images etc.). I am also interested in data-association problems on graphs and their applications to visual analytics tasks.

Some selected publications

• G. K. Nayak, M. K. Reddy, V. Shaj, R. Venkatesh Babu, A. Chakraborty, “Zero Shot Knowledge Distillation in Deep Networks”, International Conference on Machine Learning (ICML), 2019.

• G. K. Nayak, M. K. Reddy, S. Jain, A. Chakraborty, “Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.

• J. N. Kundu, S. Seth, V. Jampani, R. Mugalodi, R. V. Babu, A. Chakraborty, “Self- Supervised 3D Human Pose Estimation Via Part Guided Novel Image Synthesis”, Computer Vision and Pattern Recognition (CVPR), 2020.

• A. Tripathi, R. R. Dani, A. Mishra, A. Chakraborty, “Sketch-Guided Object Localization in Natural Images”, European Conference on Computer Vision (ECCV), 2020.

• A. Aggarwal, R. V. Babu, A. Chakraborty, “Text-based person search via attribute-aided matching”, Winter Conference on Applications of Computer Vision (WACV), 2020.

• A. K. Singh, A. Mishra, S. Shekhar, A. Chakraborty, “From Strings to Things: Knowledge- enabled VQA Model that can Read and Reason”, International Conference on Computer Vision (ICCV), 2019.

• A. Chakraborty, A. Das, A. K. Roy-Chowdhury, “Network Consistent Data Association”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2016.

• A. Chakraborty, A. K. Roy-Chowdhury, “Context Aware Spatio-temporal Cell Tracking In Densely Packed Multilayer Tissues”, Medical Image Analysis, 2015.

• A. Das, A. Chakraborty, A. K. Roy-Chowdhury,“Consistent Re-identification in a Camera Network”, European Conference on Computer Vision (ECCV), 2014.

For the complete list of publications, please see the Publication page.

Courses taught

• Introduction to Data Science [DS 215] : Aug 2022

• Data Analysis and Visualization [DS 294] : Jan 2022,  Jan 2020,   Jan 2018

• Video Analytics [DS 263] : Aug 2021,  Aug 2019   (co-taught with Prof. R. Venkatesh Babu)

• Deep Learning for Computer Vision [DS 265] : Jan 2020   (co-taught with Prof. R. Venkatesh Babu)