About CVPR Lab, IIT Ropar
CVPR Lab is a group of research scholars and graduate students working under the guidance of Dr. Subrahmanyam Murala. Aim of CVPR Lab is to design, develop and deploy efficient solutions to real-world Computer Vision scenarios. Our research is directed towards cutting-edge applications of Computer Vision, Pattern Recognition, Machine Learning, Artificial Intelligence and Biomedical Signal and Image Processing. The vision of the lab is to keep the right balance between academic research and industrial innovation. We are working on -
- Vision in Low Visibility
- Automatic Driver Assistance System
- Scene Understanding and Robotics Vision System
- Biomedical Signal and Image Analysis
- Forensic Applications for Image and Video Processing
- Autonomous Underwater Vehicle Surveillance
- Information Processing and Retrieval
- Human-Centric Analysis
|May 16, 2020||One paper accepted in ICIP-2020. Congratulations to Praful.|
|Feb. 24, 2020||TWO papers ACCEPTED in CVPR-2020. Congratulations to Akshay and Prashant|
|Nov. 1, 2019||One Project Started in Collaboration with HUAWEI Tech. India Pvt. Ltd., Bangalore|
|Aug. 11, 2019||One Paper ACCEPTED in Neurocomputing (Dr. Sachin's PhD work)|
|Aug. 8, 2019||One Paper ACCEPTED in BSPC, Elsevier (M.Tech. Student Work)|
|Aug. 2, 2019||ONE paper ACCEPTED in IEEE TIP.|
|July 15, 2019||Our M.Tech. Student Miss Shubhangi Selected for PMRF and joined in IIT Bombay for Ph.D.|
...Technologies We Are Dealing With...
We solve computer vision problems with CNN, Autoencoders and GANs.
We design cutting edge research models in deep learning.
We do work on low level vision problems.
We are doing research in cutting edge AI algorithms including generative adversarial and reinforced models.
We deal with UAVs for real world applications.
We design and develope real world android applications with computer vision and deep learning.
Biomedical Image Processing
We deal with biomedical data (MRI, CT etc) for automated medical science.
We design and develope frequency models and deep models for signal processing applications.