Dr. Koteswar Rao JERRIPOTHULA

Assistant Professor, Department of CSE, IIIT-Delhi

Email: koteswar[AT]iiitd[DOT]ac[DOT]in

Add: B-405, R&D Building, IIIT-Delhi # Tel: +91-11-2690 7433

BIO: My CV.

I am currently working as a CSE faculty member at IIIT-Delhi. I received my undergraduate degree from IIT Roorkee, India, in 2012 and my PhD degree from Nanyang Technological University (NTU), Singapore, in 2017. I have worked at Lenskart and ADSC (Singapore) before.

RESEARCH INTERESTS:

Computer Vision || Machine Learning

JOURNAL ARTICLES:

  1. Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu and Junsong Yuan, “Image Co-skeletonization via Co-segmentation,” in IEEE Transactions on Image Processing (T-IP), 2021. [IF=10.856, CORE A*]

  2. Koteswar Rao Jerripothula, Ankit Rai, Kanu Garg and Yashvardhan Singh Rautela, "Feature-level Rating System using Customer Reviews and Review Votes," in IEEE Transactions on Computational Social Systems (T-CSS), 2020. [pdf] [CS=6.1, G2R Impact Score 5.28]

  3. Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “Efficient Video Object Co-localization with Co-saliency Activated Tracklets,” in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2019. [pdf][YouTube Co-localization Dataset] [IF=4.685, G2R Top 50 Journal]

  4. Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “Quality-guided Fusion-based Co-saliency Estimation for Image Co-segmentation and Co-localization,” in IEEE Transactions on Multimedia (T-MM), 2018. [pdf] [IF=6.513, CORE A*]

  5. Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “Image Co-segmentation via Saliency Co-fusion,” in IEEE Transactions on Multimedia (T-MM), 2016. [pdf][ppt][code] [IF=6.513, CORE A*]

CONFERENCE/WORKSHOP PAPERS:

  1. Koteswar Rao Jerripothula, Prerana Mukherjee, "ASOC: Adaptive Self-aware Object Co-localization," in IEEE International Conference on Multimedia and Expo (ICME), 2021. [CORE A]

  2. Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal, and Ankush Mittal, "Eye-focused Detection of Bell's Palsy in Videos," in Canadian Conference on Artificial Intelligence (Canadian AI), 2021. [link][ERA (CORE) B]

  3. Daksh Goyal, Koteswar Rao Jerripothula, and Ankush Mittal, "Detection of Gait Abnormalities caused by Neurological Disorders," in IEEE Workshop on Multimedia Signal Processing (MMSP), 2020.[pdf] [CORE B]

  4. Akansha Gautam, Koteswar Rao Jerripothula, "SGG: Spinbot, Grammarly and GloVe based Fake News Detection System," in IEEE International Conference on Multimedia Big Data (BigMM), 2020.[pdf] [G2R Top 500 conference]

  5. Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu and Junsong Yuan, “Object Co-skeletonization with Co-segmentation,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf][CO-SKEL dataset][poster][code] [CORE A*]

  6. Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “CATS: Co-saliency Activated Tracklet Selection for Video Co-localization,” in European Conference on Computer Vision (ECCV), 2016. [pdf][poster][Video Results] [CORE A*]

  7. Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “Group Saliency Propagation for Large-scale and Quick Image Co-segmentation,” in IEEE International Conference on Image Processing (ICIP), 2015. (oral paper) [pdf][code] [CORE B]

  8. Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “QCCE: Quality Constrained Co-saliency Estimation for Common Object Detection,” in IEEE Visual Communications and Image Processing (VCIP) Conference, 2015. (oral paper) [pdf] [code] [CORE B]

  9. Koteswar Rao Jerripothula, Jianfei Cai, Fanman Meng, and Junsong Yuan, “Automatic image Co-Segmentation using geometric mean saliency,” in 2014 IEEE International Conference on Image Processing (ICIP), 2014. (Top 10% Paper Award) [pdf][ppt][poster][award] [CORE B]

WORKING PAPERS:

  1. Akansha Gautam, Koteswar Rao Jerripothula,"PaGE: Paraphrasing, Grammar and Embedding based Fake News Detection System." [under revision]

  2. Sharik Ali Ansari, Koteswar Rao Jerripothula, Rahul Nijhawan, and Ankush Mittal, "A Vision-based Solution for Track Misalignment Detection", submitted to IEEE IECON [under review]

  3. Koteswar Rao Jerripothula, Prerana Mukherjee, Jianfei Cai, Shijian Lu and Junsong Yuan, "Appearance Fusion of Multiple Cues for Video Co-localization". [under review]

  4. Atharv Patlan, Koteswar Rao Jerripothula,"Supervised Domain Adaptation with Unsupervised Losses". [under revision]

  5. Koteswar Rao Jerripothula, Sarvesh Shukla, Samyak Jain, and Shudanshu Singh, "Fruits' Maturity Prediction from Agriculture, Market, and Automation Perspectives". [under revision]

  6. Harshita Diddee, and Koteswar Rao Jerripothula, "Federated Learning via Conscious Dropout". [under revision]

TEACHING INTERESTS:

Computer Vision || Machine Learning || Image Processing || C/C++

COURSES:

Computer Vision (CSE344/CSE544) [Winter Semester]

Advanced Computer Vision (CSE562) [Monsoon Semester]

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