Sumit joined Adobe Research Labs India as a Research Scientist in August 2014. He completed his doctoral studies at University of Maryland under Prof. Rama Chellappa. Previously, he received B. Tech. in Electrical Engineering from IIT Bombay. His research interests are in computer vision and machine learning. At Adobe, he is a part of Document Intelligence group, working on topics like document structural analysis and question/answering. He has also explored video content analysis and AR/VR interfaces during his work at Adobe.


DynamicToC: Persona-based Table of Contents for Consumption of Long Documents

Maheshwari, H., Shivakumar, N., Jain, S., Karandikar, T., Goyal, N., Aggarwal, V., Shekhar, S. (Jul. 15, 2022)

North American Chapter of the Association for Computational Linguistics (NAACL)

OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis

Shekhar, S., Guda, B., Chaubey, A., Jindal, I., Jain, A. (Jun. 20, 2022)

IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision

ICPR 2020 – Competition on Harvesting Raw Tables from Infographics

Tensmeyer, C., Shekhar, S., Singh, H., Davila, K., Setlur, S., Govindaraju, V. (Feb. 21, 2021)

ICPR 2021

LEAF-QA: Locate, Encode & Attend for Figure Question Answering

Chaudhry, R., Shekhar, S., Gupta, U., Bansal, P., Joshi, A., Maneriker, P. (Mar. 2, 2020)

Winter Conference on Applications of Computer Vision

ARComposer: Authoring Augmented Reality Experiences through Text

Shekhar, S., Maheshwari, P., J, M., Singhal, A., Singh, K., Krishna, K. (Oct. 20, 2019)

32nd Annual ACM Symposium on User Interface Software and Technology (UIST 2019)

ICDAR 2019 Competition on Harvesting Raw Tables from Infographics (CHART-Infographics)

Davila, K., Kota, B., Setlur, S., Govindraju, V., Tensmeyer, C., Shekhar, S., Chaudhry, R. (Sep. 20, 2019)

2019 International Conference on Document Analysis and Recognition

Show and Recall @ MediaEval 2018 ViMemNet: Predicting Video Memorability

Chaudhry, R., Kilaru, M., Shekhar, S. (Nov. 23, 2018)

MediaEval 2018

Show and Recall: Learning What Makes Videos Memorable

Shekhar, S., Singal, D., Singh, H., Kedia, M., Shetty, A. (Oct. 29, 2017)

IEEE International Conference on Computer Vision Workshops

Experience Individualization on Online TV Platforms through Persona-based Account Decomposition

Bajaj, P., Shekhar, S. (Oct. 15, 2016)

MM 2016 - ACM Multimedia Conference

Similarity Learning for Product Recommendation using Multi-Channel Data

Burhanuddin, I., Bajaj, P., Shekhar, S. (Nov. 14, 2015)

International Conference on Data Mining (Workshop on Optimization Based Techniques for Emerging Data Mining)

Coupled projections for adaptation of dictionaries

Shekhar, S., Nguyen, H., Patel, V., Chellappa, R. (Oct. 1, 2015)

IEEE Transactions on Image Processing

Class Consistent Multi-Modal Fusion With Binary Features

Shrivastava, A., Rastegari, M., Shekhar, S., Chellappa, R., Davis, L. (Jun. 8, 2015)

IEEE Conference on Computer Vision and Pattern Recognition

Domain adaptive sparse representation-based classification

Zhang, H., Shekhar, S., Patel, V., Chellappa, R. (May. 4, 2015)

IEEE International Conference and Workshops on Automatic Face and Gesture Recognition

Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation

Shekhar, S., Shroff, N., Chellappa, R. (Dec. 12, 2014)

Indian Conference on Computer Vision Graphics and Image Processing

Analysis sparse coding models for image-based classification

Shekhar, S., Patel, V., Chellappa, R. (Oct. 27, 2014)

IEEE International Conference on Image Processing

Unsupervised domain adaptation using parallel transport on Grassmann manifold

Shrivastava, A., Shekhar, S., Patel, V. (Mar. 24, 2014)

IEEE Winter conference on Applications of Computer Vision