Ancient Asian Character Recognition for Literature Preservation and Understanding. - Lin Meng; C. V. Aravinda; K. R. Uday Kumar Reddy; Tomonori Izumi; Katsuhiro Yamazaki (EuroMed (1), 2018)

Oracle Bone Inscription Detector Based on SSD. - Lin Meng; Bing Lyu; Zhiyu Zhang; C. V. Aravinda; Naoto Kamitoku; Katsuhiro Yamazaki (ICIAP Workshops, 2019)

NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization Technique. - V. B. Aswin; Mohammed Javed; Parag Parihar; K. Aswanth; C. R. Druval; Anpam Dagar; C. V. Aravinda (CoRR, 2019)

An AI-based Android Application for Ancient Documents Text Recognition. - Tomoki Morioka; C. V. Aravinda; Lin Meng (ATAIT, 2021)

Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models. - Yoshiyuki Fujikawa; Hengyi Li; Xuebin Yue; C. V. Aravinda; Amar Prabhu G; Lin Meng (CoRR, 2021)

DKNet: Deep Kuzushiji Characters Recognition Network. - Dilbag Singh; C. V. Aravinda; Manjit Kaur; Lin Meng; Jyothi Shetty; Vikram Raju Reddicherla; Heung-No Lee (IEEE Access, 2022)

Correction of an Image for Colour Blindness Using the Fusion of Ishihara Filter and Histogram Equalization. - M. S. Sannidhan; Jason Elroy Martis; C. V. Aravinda; Roheet Bhatnagar (AICV, 2023)

Comparing Different Deep Learning Models with a Novel Model for COVID-19 and Pneumonia Classification Using Chest X-Ray Images. - C. V. Aravinda; M. S. Sannidhan; Jyothi Shetty; Shabari Shedthi; Roheet Bhatnagar (AISI, 2023)

(Invited) Detection and classification of peripheral plasmodium parasites in blood smears using filters and machine learning algorithms. - C. V. Aravinda; Sannidhan M. S; Vaishali Bangera; Jyothi Shetty; Vijaya Shetty; Vijaylaxmi Kochari (ATAIT, 2023)

Enhancing Automotive Safety through Advanced Human Action Recognition Techniques. - C. V. Aravinda; Sannidhan M. S; Soumya Aswath; Jyothi Shetty; Arjun B. C (ATAIT, 2024)

Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures. - M. R. Tejonidhi; C. V. Aravinda; S. V. Aruna Kumar; C. K. Madhu; A. M. Vinod (IEEE Access, 2025)

A novel hybrid architecture for video frame prediction: combining convolutional LSTM and 3D CNN. - C. V. Aravinda; Taher Al-Shehari; Nasser A. Alsadhan; Shashank Shetty; G. Padmajadevi; K. R. Udaya Kumar Reddy (J. Real Time Image Process., 2025)