Latest News

Congratulations Monu for paper in IEEE Transactions on Cognitive and Developmental Systems!
Congratulations Murari Mandal, Yashwanth Reddy Meedimale, M Satish Kumar Reddy for paper in IEEE Transactions on Artificial Intelligence!
Congratulations Prafulla & Kuldeep for paper in ICIP-2022 (Core-B)!
Congratulations Anamika for paper in Simulation Modelling Practice and Theory, Elsevier!
Congratulations to Deepti and Kuldeep for paper in 36thInternational Conference on Advanced Information Networking and Applications (AINA-2022) (Core B)!
Congratulations to Gopa and Monu for paper The Visual Computer (IF-2.601) and Multimedia Tools and Applications!
Congratulations to Murari Mandal for paper in IEEE Transaction on Intelligent Transporation Systems (IEEE-T-ITS)!
Congratulations to Monu Verma and Ayushi Gupta for paper in Internation Joint Conference on Neural Networks (IJCNN-2021)!
Congratulations to Murari Mandal for the PostDoc position at National University of Singapore (NUS)!
Congratulations to Murari Mandal for completion of his PhD!
Congratulations to Murari Mandal, Vansh Dhar, and Abhishek Mishra for paper in IEEE Transactions on Image Processing.
Congratulations to Murari Mandal for paper in IEEE Transactions on Intelligent Transportation Systems.
Congratulations to Monu Verma for paper in IEEE MultiMedia.
Congratulations to Murari Mandal and Lav Kush Kumar for paper in ACM Multimedia (ACM MM-2020).
Congratulations to Monu Verma for IJCNN (WCCI-2020).
Congratulations to Murari Mandal, Vansh Dhar, Abhishek Mishra for paper in IEEE Signal Processing Letters.
Congratulations to Murari Mandal, Lav Kush Kumar, Mahipal Singh Saran for paper in WACV-2020.
Congratulations to Murari Mandal, Manal Shah, Prashant Meena for paper in IEEE Geoscience and Remote Sensing.
Congratulations to Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal for paper in AICITY challenge,CVPR workshops.
Congratulations to Monu Verma for paper in IEEE Transactions on Image Processing.
Congratulations to Monu Verma for Shastri Research Student Fellowship (SRSF)-Doctoral award for the year 2018-19 . .

























Latest Publications

Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, "Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs" IEEE Transactions on Cognitive and Developmental Systems, 2022
Murari Mandal, Yashwanth Reddy Meedimale, M Satish Kumar Reddy, Santosh Kumar Vipparthi "Neural Architecture Search for Image Dehazing" IEEE Transactions on Artificial Intelligence, 2022
Deepti Sharma, Kuldeep M. Biradar, Santosh Kumar Vipparthi, Ramesh Babu Battula, "HYPE: CNN Based HYbrid PrEcoding Framework for 5G and Beyond," The 36thInternational Conference on Advanced Information Networking and Applications (AINA-2022) (Core B), 2022
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi, "HyFiNet: Hybrid feature attention network for hand gesture recognition," Multimedia Tools and Applications, 2022
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi, "ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition," The Visual Computer, 2021
Monu Verma, M. Satish Kumar Reddy, Yashwanth Reddy Meedimale, Murari Mandal, Santosh Kumar Vipparthi, "AutoMER: Spatiotemporal Neural Architecture Search for Microexpression Recognition," IEEE Transactions on Neural Networks and Learning Systems, 2021
Murari Mandal, Santosh Kumar Vipparthi, "An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs," IEEE Transactions on Intelligent Transporation Systems, 2021
Monu Verma, Ayushi Gupta, Santosh Vipparthi, "One for All: An End-to-End Compact Solution for Hand Gesture Recognition" in International Joint Conference on Neural Networks (IJCNN), 2021.
Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi, Mohamed Abdel-Mottaleb, "3DCD: A Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos," IEEE Transactions on Image Processing, 2020
Murari Mandal, Santosh Kumar Vipparthi, "Scene Independency Matters: An Empirical Study of Scene Dependent and Scene Independent Evaluation for CNN-Based Change Detection," IEEE Transactions on Intelligent Transportation System, 2020
Monu Verma, Santosh Kumar Vipparthi, Girdhari singh, “AffectiveNet: Affective-Motion Feature Learning for Micro Expression Recognition,” IEEE MultiMedia, 2020.
Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi, “MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos,” ACM International Conference on Multimedia (ACM MM), Seattle, United States, 2020.
Monu Verma, Santosh Kumar Vipparthi, Girdhari singh, “Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition,” IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020. PDF
Murari Mandal, Lav Kush Kumar, Mahipal Singh Saran, Santosh Kumar Vipparthi, “MotionRec: A Unified Deep Framework for Moving Object Recognition,” WACV, 2020, Colorado, US.
Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi, “3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection,” IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1882-1886. .
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala,“LEARNet: Dynamic Imaging Network for Micro Expression Recognition,” IEEE Transactions on image processing, 2020 .
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, "HiNet: Hybrid Inherited Feature Learning Network for Facial Expression Recognition ," IEEE Letters of the Computer Society, 2019.
Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal, Santosh Kumar Vipparthi, "Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos," In CVPR Workshops (CVPRW-2019)
Murari Mandal, Manal Shah, Prashant Meena, Sanhita Devi, Santosh Kumar Vipparthi, AVDNet: A SmallSized Vehicle Detection Network for Aerial Visual Data,” IEEE Geoscience and Remote Sensing Letters, 2019 (Impact Factor 3.966)
Murari Mandal, Manal Shah, Prashant Meena, Santosh Kumar Vipparthi,"SSSDet: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes,” IEEE 26th International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019

About Us

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Our Objective

The Vision Intelligence Lab is a multidisciplinary group performing basic and applied research computer vision, machine learning and deep learning. Our lab aims to develop intelligent algorithms that perform important visual perception tasks such as object detection, human emotion recognition, aberrant event detection, image retrieval, Motion analysis, etc. Currently, we are dealing with:-
1. Moving Object Detection and Analysis
2. Facial Expression Recognition
3. Anomaly Detection and Analysis
4. Content Based Image Retrieval
5. Hand Gesture Recognition

World Wide UpComing Conferences in Computer Vision

CVPR-2023,Vancouver, CANADA, June-18 to 22, 2023.

Image Processing & Computer Vision Ranking-1

Abstract submission deadline: Coming soon
Full paper submission deadline: November, 11, 2022 (11:59PM Pacific Time)

BMVC-2023, London, UK 21-24 November, 2022.

Machine Learning & Artificial Intelligence

Abstract submission deadline: July 25, 2022
Full paper submission deadline: July 29, 2022

ICCV-2023, Paris, September 30 -October 06, 2023.

Image Processing & Computer Vision Ranking-2

Full paper submission deadline: March 08, 2023

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