Viswanatha Reddy

I'm an SDE at Amazon and passionate about deep learning, LLMs and computer vision. I earned my master's degree from University of Wisconsin-Madison, where I specialized in computer vision and its applications in healthcare. During my master's, I had the privilege of collaborating with Prof. Yin Li's team.

I've contributed to research at Suspect Technologies as a ML Researcher and completed internships at Amazon and Aganitha Cognitive Solutions.

LinkedIn | Email | CV | Scholar | Github

Research

My primary focus is on computer vision and deep learning, with projects spanning Generative AI, RAG-based workflows, and custom chatbots. I also work on object detection, segmentation, incremental learning, biometrics, and video machine learning. Recent projects include:

RICA²: Rubric-Informed, Calibrated Assessment of Actions

Authors: Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li.

ECCV 2024

Incorporates human-designed scoring rubrics for calibrated uncertainty in action quality assessment.

Project Page | arXiv

Detecting Egocentric Actions with ActionFormer

Authors: Chenlin Zhang, Lin Sui, Abrar Majeedi, Viswanatha Reddy Gajjala, Yin Li.

CVPR Workshop 2022

State-of-the-art approach to egocentric action detection.

Report | Code

Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

Authors: Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song.

CVPR 2022

Few-shot incremental learning empowered by user-drawn sketches.

Code | arXiv | Blog

Teaching Experience

Graduate Teaching Assistant, MATH222, UW Madison, Spring 2023 (Superior rating)
Graduate Teaching Assistant, MATH222, UW Madison, Fall 2022 (Superior rating)
Graduate Teaching Assistant, MATH211, UW Madison, Spring 2022
Graduate Teaching Assistant, MATH221, UW Madison, Fall 2021
Undergraduate Teaching Assistant, IIIT Sri City, Computer Programming, Spring 2019
Undergraduate Teaching Assistant, IIIT Sri City, Digital Signal Processing, Fall 2018
Undergraduate Teaching Assistant, IIIT Sri City, Basic Electronic Circuits, Spring 2018
Undergraduate Teaching Assistant, IIIT Sri City, Digital Signal Analysis and Applications, Fall 2017

Other Publications

Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song. “Partially Does It: Towards Scene-Level FG-SBIR with Partial Input.” CVPR 2022.
Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey. “MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network.” ICVGIP 2021, IIT Jodhpur, ACM. Oral
Debapriya Tula, MS Shreyas, Viswanatha Reddy, Pranjal Sahu, Sumanth Doddapaneni, Prathyush Potluri, Rohan Sukumaran, Parth Patwa. “Offence detection in dravidian languages using code-mixing index-based focal loss.” SN COMPUT. SCI. 3, 330 (2022). DOI
G. Viswanatha Reddy, BSNV Chaitanya, P. Prathyush, M. Sumanth, C. Mrinalini, P. Dileep Kumar, Snehasis Mukherjee. “DFW-PP: Dynamic Feature Weighting-based Popularity Prediction for Social Media Content.” Journal of Supercomputing, Springer, Vol. 80, pp. 5708-5730, 2024.
Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar. “Can Self Reported Symptoms Predict Daily COVID-19 Cases?” AI4SG Workshop at IJCAI '21. Oral
G. Viswanatha Reddy, Snehasis Mukherjee, Mainak Thakur. “Measuring Photography Aesthetics with Deep CNNs.” IET Image Processing, Vol. 14, No. 8, pp. 1561-1570, 2020.
G. Viswanatha Reddy, CVR Dharma Savarni, Snehasis Mukherjee. “Facial Expression Recognition in the Wild, by Fusion of Deep Learnt and Hand-crafted Features.” Cognitive Systems Research, Elsevier, Vol. 62, pp. 23-34, 2020.
Md Shariq Suhail, Gajjala Viswanatha Reddy, G Rambabu, CVR Dharma Savarni, VK Mittal. “Multi-functional Secured Smart Home.” ICACCI 2016.

Professional & Voluntary Work

Served as a reviewer for:

Pattern Recognition Journal
WACV-2021, 2023, 2025; IEEE/CVF Winter Conference on Applications of Computer Vision
ICLR 2024 TinyPapers
AAAI 2024. Member of the Program Chair (DeFactify24)
CV4Animals
Amazon Conference on Computer Vision 2024
27th International Conference on Pattern Recognition (ICPR 2024)
Invitations: CVPR 2022, CVPR 2023, WACV 2022, WACV 2024.