Dr. Arun Kumar Sivapuram

I am currently working as an Assistant Professor in the Department of Computer Science and Engineering at SRM University AP, Andhra Pradesh, India.

I completed my Ph.D. in Computer Vision under the guidance of Prof. Rama Krishna Sai Gorthi in the Department of Electrical Engineering at the Indian Institute of Technology (IIT) Tirupati.

My doctoral research focused on developing deep learning-based methods for enhancing object identification in data-constrained environments.

I completed my MTech. in Signal Processing and Communications Engineering from the Department of Electrical Engineering at IIT Tirupati.

Prior to that, I obtained my B.Tech. degree in Electronics and Communication Engineering from Narasaraopet Engineering College, Andhra Pradesh.

Integrated Phd: 2018 to 2026

Visiting Research Scholar (Oct - Dec 2024)

Assistant Professor
Department of CSE
March 2025 to Present

News:

May 2026: Our paper "SAFE-Net: Scale-Aware Feature Enhancement for Aerial Person Detection in Flood Disaster Imagery" was accepted at the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2026).
May 2026: Our work "ContiFood-961: A Long-Tailed Fine-Grained Food Benchmark with Hybrid Cross-Token and Frequency Attention" was accepted at CVPR Workshops 2026 as extended abstarct.
May 2026: The paper "UNetv2-Lite: Lightweight Residual Attention U-Net for Medical Image Segmentation" was accepted for presentation at IEEE International Conference on Image Processing (ICIP 2026).
March 30, 2026: Successfully defended my Ph.D. thesis at IIT Tirupati. I sincerely thank my supervisor Prof. Rama Krishna Sai Gorthi, doctoral committee members, external examiners, family, friends, and colleagues for their invaluable support throughout my doctoral journey. 🎓

March 2026: Our paper "RealDroneVision: Dataset and Architecture Advancements for Small-Object Drone Detection" was accepted and presented at the Winter Conference on Applications of Computer Vision (WACV 2026).
December 2025: Our paper "Multi-UAV Tracking through Complementary Trackers Fusion in IR Videos" was accepted at the International Conference on Computer Vision and Image Processing (CVIP 2025).
January 2025 : Our paper "SA-LfV: Self-Annotated Labeling from Videos for Object Detection" was accepted in Machine Learning Journal and presented at ACML 2025.

Research Interests:

Computer Vision, Machine Learning, Deep Learning, Speech Signal Processing, and Image Processing.

Publications:

2026

Abhin P. T., Arun Kumar Sivapuram, Madhu, and Rama Krishna Sai Gorthi, "UNetv2-Lite: Lightweight Residual Attention U-Net for Medical Image Segmentation," IEEE International Conference on Image Processing (ICIP), 2026.
Arun Kumar Sivapuram, P. Komuravelli, J. Harsha, and Rama Krishna Sai Gorthi, "ContiFood-961: A Long-Tailed Fine-Grained Food Benchmark with Hybrid Cross-Token and Frequency Attention," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2026 as extended abstract.
Arun Kumar Sivapuram, P. Komuravelli, G. J., and Rama Krishna Sai Gorthi, "SAFE-Net: Scale-Aware Feature Enhancement for Aerial Person Detection in Flood Disaster Imagery," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2026.
Arun Kumar Sivapuram, Pranav R. T., Harish P., Prashanth K., J. Harsha, and Rama Krishna Sai Gorthi, "RealDroneVision: Dataset and Architecture Advancements for Small-Object Drone Detection," Winter Conference on Applications of Computer Vision (WACV), 2026.

2025

Abhin P. T., Sona Rosa B., Vinayak N., Arun Kumar Sivapuram, Madhu S., and Rama Krishna Sai Gorthi, "Multi-UAV Tracking through Complementary Trackers Fusion in IR Videos," International Conference on Computer Vision and Image Processing (CVIP), 2025.
Arun Kumar Sivapuram, Prashanth K., and Rama Krishna Sai Gorthi, "SA-LfV: Self-Annotated Labeling from Videos for Object Detection," Machine Learning, vol. 114, no. 1, pp. 1–24, 2025.

2024

S. R. Vamsidhar, Arun Kumar Sivapuram, V. Ravi, G. Senthil, and Rama Krishna Sai Gorthi, "VISAL—A Novel Learning Strategy to Address Class Imbalance," Neural Networks, vol. 161, pp. 178–184, 2023.
Nageli Vinayak, Arun Kumar Sivapuram, Rama Krishna Sai Gorthi, and Arshad Jamal, "The First Place Solution for ICIP2023 Challenge: Infrared Imaging-Based Drone Detection and Tracking in Distorted Surveillance Videos," IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW), 2023.

2023

S. R. Vamsidhar, Arun Kumar Sivapuram, V. Ravi, G. Senthil, and Rama Krishna Sai Gorthi, "VISAL—A Novel Learning Strategy to Address Class Imbalance," Neural Networks, vol. 161, pp. 178–184, 2023.
Nageli Vinayak, Arun Kumar Sivapuram, Rama Krishna Sai Gorthi, and Arshad Jamal, "The First Place Solution for ICIP2023 Challenge: Infrared Imaging-Based Drone Detection and Tracking in Distorted Surveillance Videos," IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW), 2023.

2022

Jeeru S., Arun Kumar Sivapuram, Daniel G. León, J. Gröli, S. R. Yeduri, and Lingareddy Cenkeramaddi, "Depth Camera Based Dataset of Hand Gestures," Data in Brief, vol. 45, Article 108659, 2022.
Arun Kumar Sivapuram, Abhijit Pal, Konda Reddy Mopuri, and Rama Krishna Sai Gorthi, "Adv-Cut Paste: Semantic Adversarial Class-Specific Data Augmentation Technique for Object Detection," 26th International Conference on Pattern Recognition (ICPR), pp. 3632–3638, 2022.

Awards / Funding

🏆 First Place Winner – IEEE ICIP 2023 Challenge: Awarded First Position in the challenge titled "Infrared Imaging-Based Drone Detection and Tracking in Distorted Surveillance Videos" at the IEEE International Conference on Image Processing (ICIP 2023).
💰 Ministry of Education Research Scholarship: Recipient of the Ministry of Education Research Scholarship for Ph.D. studies at IIT Tirupati (2020–2026).
💰 IITT-NIF Fellowship: Awarded the IIT Tirupati–Navavishkar I-Hub Foundation (IITT-NIF) Fellowship for doctoral research (2023–2025).
💰 MHRD Teaching Assistantship: Received Teaching Assistantship support during M.Tech studies at IIT Tirupati (2018–2019).
💰 TIH Research Fellowship Research Fellow in funded projects on "Small Object Detection and Tracking in Aerial Images under Diverse Weather Conditions".

Teaching Activities:

Courses taught at SRM University AP:

Digital Image Processing (Jan - May 2025)
Machine Learning (Jan - May 2025)
Social Network Analysis (Jan - June 2025) and (Jan - May 2026)
Principles of Soft Computing (Aug - December 2025)
Computer Networks Lab (Aug - December 2025)
Hands on Python (Jan - May 2026)

Teaching Assistant at IIT Tirupati:

During my doctoral studies at the Indian Institute of Technology (IIT) Tirupati, I served as a Teaching Assistant for four semesters (January–May 2020, 2021, 2022, and 2024) under the guidance of Prof. Yegnanarayana Bayya, assisting in courses on Speech Signal Processing, Statistical Signal Processing, and Advanced Digital Signal Analysis and Processing.
Computer Vision
Machine Learning for Image Processing
Advanced Digital Signal Analysis and Processing
Signals and Systems
Basic Electrical Engineering

PG Projects Guided:

Sona Rosa B.
Title: SMAIL: Scale and Margin-Aware Imbalanced Learning for UAV Detection (IEEE TGRS, Under Review)
Sona Rosa B., Abhin P. T., and Vinayak N.
Title: Multi-UAV Tracking through Complementary Trackers Fusion in IR Videos (CVIP 2025)
Abhin P. T.
Title: UNetv2-Lite: Lightweight Residual Attention U-Net for Medical Image Segmentation (ICIP 2026)

UG Projects Guided

Abhijith Pal
Title: Adv-Cut Paste: Semantic Adversarial Class-Specific Data Augmentation Technique for Object Detection (ICPR 2022)
Jaswanth Reddy P.
Title: Memory Based Long-Term Anti-UAV Tracking (DSAA 2026, Under Review)
B. Prem Singh, D. Jaidheep, G. Eswar Prasad, and S. Sathwik
Title: The Graph Neural Network Based Social Heterogeneous Network (IEEE Transactions on Network and Service Management, Under Review)
Para Mani Surya, Bandaru Shanmukha Rushi, and Nainala Sri Sai Krishna Sudeep
Title: Energy-Efficient and Latency-Aware Data Routing in Small-World Internet of Drone Networks Using Graph Neural Network (IEEE Transactions on Network and Service Management, Under Review)
Rishika Singh Parihar and Udaya Sri Dhilli
Title: A Privacy-Aware Medical Dataset Distillation Framework with High-Order Trajectory Matching and Differential Privacy for Membership Inference Attack-Based Evaluation ( Submitting to ACML 2026)
P. Chandana, Jyothi Sree Vidya Kadiyam, Venkata Datha Sai Bharadwaja Ummethala, and Srinivasa Prasanth Reddy
Title: Agri-MMLLM: Knowledge-Guided Multimodal Reasoning for Agricultural Decision Support ( Submitting to ACCV 2026)

Page updated

Report abuse