Note: Varun Jampani has transitioned from the institute (alumni).
Research
I completed my PhD under the supervision of Prof. Peter V. Gehler at MPI and joined as a research scientist at Nvidia Research. My work lies at the intersection of Machine Learning and Computer Vision. Specifically, I am working on leveraging machine learning techniques for better inference in computer vision applications. The main research question is how to make use of learning techniques such as deep neural networks and random forests for inference in structured prediction frameworks.
See my homepage for recent updates: https://varunjampani.github.io/
Education
(Jan’13 – Dec'16)
Max-Planck Institute for Intelligent Systems and University of Tübingen, Tübingen, Germany
Doctor of Philosophy (PhD) in computer vision and machine learning (Grade: summa cum laude)
Thesis Title: Learning Inference Models for Computer Vision
(July’09 - Dec ’12)
International Institute of Information Technology, Hyderabad (IIIT-H), India
Master of Science (MS) by Research in computer sciences
Thesis Title: A Study of X-ray Image Perception for Pneumoconiosis Diagnosis
(July ’05 – May ’09)
International Institute of Information Technology, Hyderabad (IIIT-H), India
Bachelor of Technology (BTech) with Honours in computer sciences (CGPA: 9.68/10.0)
Gold Medalist and member of Dean’s list for all the semesters
Work Experience
Research Internships
- Microsoft Research, Cambridge, UK
- Research Intern (July’14 – Oct’14)
- Consensus message passing technique for making infer.NET viable for solving vision problems.
- Max Planck Institute for Intelligent Systems, Tübingen, Germany
- Visiting Researcher (July’12 – Oct’12)
- Explored different ways of white balancing an image illuminated with multiple colored light sources.
- Microsoft Research, Redmond, USA
- Research Intern (Aug’09 – Oct’09)
- Developed novel interfaces for web image search results using Silverlight.
- Microsoft Advanced Technology Labs, Cairo, Egypt
- Research Assistant (April’12 – July’12)
- Developed an image classification system to index web images.
- GE Global Research, Bengaluru, India
- Research Intern (May’09 – July’09)
- Analyzed experimental data for our perception studies on Pneumoconiosis diagnosis.
- Cognitive Sciences Lab, IIIT-Hyderabad, Hyderabad, India
- Research Assistant (July’08 – Dec’08)
- Did experiments to test the usability of different pages on a famous Indian web portal.
Software Development
- Crypsis Technologies, Hyderabad, India
- Software Development Engineer (Aug ’11 – Feb ’12)
- Developed a web browser based service for mobile website testing using Objective C, Ruby etc…
- Medical Imaging Solutions, Hyderabad, India
- Software Development Engineer (Dec ’10 – March ’11)
- Developed a DICOM communications and download monitor tool using
- QT-C++
Teaching Experience
- IIIT-Hyderabad, Hyderabad, India
- Teaching Assistant for Computer Vision, Maths-1 and Maths-2 courses
- Involved in conducting tutorial sessions, problem solving sessions and some mid-term exams
- Tibetan Children’s Village, Dharamsala, India
- Volunteer Teacher (Sept’10 – July’11)
- Taught Mathematics, Physics and Biology for class-IX, X and XI students
The following are some public codes that I have contributed to during my PhD:
- Video Propagation Networks - [Project Page] [Code(github)]
- Bilateral Inception Networks - [Project Page] [Code(github)]
- Learning Sparse High Dimensional Filters - [Project Page] [Code(github)]
- Semantic Optical Flow - [Project Page] [Code(zip)]
- Efficient Facade Segmentation using Auto-Context - [Project Page] [Code(bitbucket)]