A.   International Journals and Transactions

1. G. Kumar, C Dhiman, Decoding Fake News Fabrications and Trends: A Comprehensive Survey, Neurocomputing, August 2025, Impact Factor: 6.0, https://doi.org/10.1016/j.neucom.2025.131118 

2. N. Sharma, C Dhiman, S Indu, 'Cross-Modal Pedestrian Behavior Prediction: A Dual-Task Approach with Progressive Denoising Attention and CVAE',  IEEE Transactions on Intelligent Transportation Systems (T-ITS) , May 2025, Impact Factor:7.9

3. A. Antil, C Dhiman, Unmasking Deception: A Comprehensive Survey on the Evolution of Face Anti-spoofing Methods, Neurocomputing, Nov 2024, Impact Factor: 6.0, https://doi.org/10.1016/j.neucom.2024.128992 

4. N. Sharma, C Dhiman, S Indu,  Predicting Pedestrian Intentions with Multimodal IntentFormer: A Co-Learning Approach, Pattern Recognition, Nov 2024, Impact Factor: 7.5, https://doi.org/10.1016/j.patcog.2024.111205 

5. D. Sharma, C Dhiman, D Kumar, Control With Style: Style Embedding-based Variational Autoencoder for Controlled Stylized Caption Generation Framework, IEEE  Transactions on Cognitive and Developmental Systems (TCDS), May 2024, Impact Factor: 5, DOI: 10.1109/TCDS.2024.3405573 . 

6. N. Sharma, C. Dhiman, S. Indu, 'Progressive Contextual Trajectory Prediction with Adaptive Gating and Fuzzy Logic Integration', IEEE Transactions on Intelligent Vehicles (TIV), April 2024, DOI: 10.1109/TIV.2024.3391898,  Impact Factor: 14. 

7. D. Sharma, C Dhiman, D Kumar, FDT-Dr2T: A Unified Dense Radiology Report Generation Transformer Framework for X-Ray Images, Machine Vision and Applications, 35, 68 (2024). https://doi.org/10.1007/s00138-024-01544-0, Impact Factor: 2.4. 

8. Chhavi Dhiman, Aashania Antil, Arnav Anand, Soham Gakhar, 'A Deep Face Spoof Detection Framework using Multi Level ELBPs and stacked LSTMs', Signal, Image and Video Processing, April 2024, Impact Factor: 2.0 DOI: https://doi.org/10.1007/s11760-024-03169-2

9. Chhavi Dhiman, Anunay, Ved Vyapak, 'AP-TransNet: A Polarized Transformer based Aerial Human Action Recognition Framework', Machine Vision and Applications, April 2024, https://doi.org/10.1007/s00138-024-01535-1, Impact Factor: 2.4.

10. Aashania Antil, Chhavi Dhiman,' MF2ShrT: Multi-Modal Feature Fusion using Shared layered Transformer for Face Anti-Spoofing', ACM Transactions on Multimedia Computing Communications and Applications (TOMM), March 2024,  https://doi.org/10.1145/3640817, Impact Factor: 5.2

11. Neha Sharma, Chhavi Dhiman, S. Indu, 'Visual-Motion-Interaction Guided Pedestrian Intention Prediction Framework ',  IEEE Sensors Journal, vol. 23, no. 22, pp. 27540-27548, 15 Nov.15, 2023, doi: 10.1109/JSEN.2023.3317426. Impact Factor: 4.325 

12. K Chaturvedi, Chhavi Dhiman, Dinesh Kumar Vishwakarma, 'Fight Detection with Spatial and Channel wise Attention-based ConvLSTM Model', Expert Systems, Wiley, Sep 2023,  https://doi.org/10.1111/exsy.13474, Impact Factor: 3.3 

13. D Sharma, C Dhiman, D Kumar, "XGL-T Transformer model for Intelligent Image Captioning",  Multimedia Tools and Applications (MTAP), 2024 Pg. 4219–4240. https://doi.org/10.1007/s11042-023-15291-3, Impact Factor: 3.6 

14. D Sharma, C Dhiman, D Kumar, Evolution of Visual Data Captioning Methods, Datasets, and Evaluation Metrics: A Comprehensive Survey, Expert Systems with Applications (ESWA), 119773, July 2023. Impact Factor: 8.65

15. Aashania Antil, Chhavi Dhiman, A two stream face anti-spoofing framework using multi-level deep features and ELBP features, Multimedia Systems, DOI: 10.1007/s00530-023-01060-7, Feb 2023. Impact Factor: 3.1

16. Neha Sharma, Chhavi Dhiman, S. Indu, "Pedestrian Intention Prediction for Autonomous Vehicles: A Comprehensive Survey", Neurocomputing, Volume 508, 7 October 2022, Pages 120-152. Impact Factor: 6.0

17. Singh, K., Dhiman, C., Vishwakarma, D. K., Makhija, H., & Walia, G. S. (2021). Sparse coded composite descriptor for human activity recognition.  Expert Systems, e12805. https://doi.org/10.1111/exsy.12805. Impact Factor: 3.3 

18. Chhavi Dhiman, D. K. Vishwakarma, and Paras Aggarwal, "Part-wise Spatio-temporal Attention Driven CNN based 3D Human Action Recognition” ACM Transactions on Multimedia Computing Communications and Applications ", July 2021, Volume 17, Issue 3, Article No.: 86, pp 1–24, https://doi.org/10.1145/3441628. Impact Factor: 5.2

19. Chhavi Dhiman, D. K. Vishwakarma, "View-invariant Deep Architecture for Human Action Recognition using Two-stream Motion and Shape Temporal Dynamics", IEEE Transactions on Image Processing (TIP), Vol. 29, pp. 3835-3844, 2020, doi: 10.1109/TIP.2020.2965299 . Impact Factor: 10.8 

20. Chhavi Dhiman, D. K. Vishwakarma, "A Robust Framework for Abnormal Human Action Recognition using R-Transform and Zernike Moments in Depth Videos", IEEE Sensors Journal, Vol. 19, No. 13, pp. 5195 - 5203, 2019. Impact Factor: 4.325

21. Chhavi Dhiman, D. K. Vishwakarma, "A review of state-of-the-art techniques of Abnormal Human Activity Recognition", Engineering Applications of Artificial Intelligence (EAAI), Vol. 77, pp. 21-45. 2019. Impact Factor: 8.0 (Pub: Elsevier).

22. D. K. Vishwakarma, Chhavi Dhiman, "A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel" The Visual Computers, Vol. 35, no. 11, pp. 1595–1613, 2019, Impact Factor: 3 (Pub.: Springer Nature). 

B.   International Conferences

1. Aditya Saxena, Chhavi Dhiman, Toxic Comment Classification using Hybrid BERT- Bi-LSTM Architecture, INDISCON 2025  (Presented)

2. Abhinav Garg, Chhavi Dhiman, Ajay Kaushik, "HybrBPF: Hybrid Bitcoin Price Prediction Framework using sentiment Analysis and Regression", Generative AI: Technology and its applications, Book Chapter, CRC Press 

3. Yashashvi Mann, Rethvik Jain, Vedant Gupta, Chhavi Dhiman, TGAPneumoSeg: A Text-Guided Attention Network for Pneumothorax Segmentation in Chest X-rays, CONECCT 2025 (Presented)

4. Subhanshu Sethi, Divij Saini, Sarthak Singh, Chhavi Dhiman,  Bharat Bhushan, GExSent: Gated Experts for Robust Sentiment Analysis Across Modalities, International Joint Conference on Neural Networks (IJCNN 2025) 

5. Rithwick Sethi, Bhavya Goel, Kshitij Agrawal, Parth Sharma, Pratham Grover, Chhavi Dhiman* and Dinesh Kumar Vishwakarma, "StrikeTag: Object Detection Based GeoTagging For Kamikaze Drone Surveillance", 1st International Conference on Drones and Unmanned Systems

(DAUS' 2025), 19-21 February 2025, Granada, Spain. (Accepted)   

6. Armaan Singh, Rahul, Sahil, Chhavi Dhiman, Multimodal Emotion Analysis Using Attention-Based Neural Networks, IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS 2025) DOI:  10.1109/SCEECS64059.2025.10940709

7. Gaurav Kumar, Chhavi Dhiman,  A Comparative Study of TF-IDF, BERT and Gemma representations for Fake News Detection, INDICON 2024, IIT Kharagpur.DOI:  10.1109/INDICON63790.2024.10958426

8. Aashania Antil, Chhavi Dhiman, (2023), Securing Faces: A GAN-Powered Defense Against Spoofing with MSRCR and CBAM, ICPR 2024, Kolkata,  DOI:  https://doi.org/10.1007/978-3-031-78201-5_28 

9. Aashania Antil, Chhavi Dhiman, (2023), Leveraging Depth Data and Parameter Sharing in Vision Transformers for Improved Face Anti-Spoofing, AIST 2024, IGDTUW, Delhi 

10. Chhavi Dhiman, Gaurav Kumar, 'Context-guided Vision Transformer with Rotated Multi-Head Attention for Sentiment Analysis', WWW '24: Companion Proceedings of the ACM on Web Conference 2024, Pages 1823-1830. https://doi.org/10.1145/3589335.3651968 

11. Aakash, Akash Dev, Ankit, Chhavi Dhiman, Rahul Thakur, 'Twitter sentiment analysis on Russia v/s Ukraine', International conference on emerging Technologies in engineering and Science (ICETES 2023) DOI: https://doi.org/10.1063/5.0251110 

12. Neha Sharma, Chhavi Dhiman, S. Indu, "A Deep Unified Pedestrian Detection Framework", IEEE Delhi Section International Conference on Electrical, Electronics and Computer Engineering IEEE DELCON-2022, 11-13 February 2022. DOI: 10.1109/DELCON54057.2022.9753544

13. Dhruv Sharma, Chhavi Dhiman, Dinesh Kumar, "Automated Image Caption Generation Framework using Adaptive Attention and Bi-LSTM", IEEE Delhi Section International Conference on Electrical, Electronics and Computer Engineering IEEE DELCON-2022, 11-13 February 2022. DOI: 10.1109/DELCON54057.2022.9752859.

14. Neha Sharma, Chhavi Dhiman and S. Indu, "Intelligent Pedestrian Intention Prediction Framework", 16th IEEE International Conference on Service Operations and Logistics,and Informatics (IEEE SOLI 2022), from 2-4 Dec, 2022. 

15. Dhruv Sharma, Rishabh Dingliwal, Chhavi Dhiman, Dinesh Kumar, "Lightweight Transformer with GRU Integrated Decoder for Image Captioning", 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Dijon, France (Hybrid meeting, remote or presence) – October 19-21, 2022. DOI: 10.1109/SITIS57111.2022.00072.

16. Aashania Antil, Chhavi Dhiman, (2023). Two Stream RGB-LBP Based Transfer Learning Model for Face Anti-spoofing. In: Gupta, D., Bhurchandi, K., Murala, S., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing. CVIP 2022. Communications in Computer and Information Science, vol 1776. Springer, Cham. https://doi.org/10.1007/978-3-031-31407-0_28.

17. Dhruv Sharma, Chhavi Dhiman, Dinesh Kumar, "A Review on Stylized Image Captioning Techniques, Evaluation Parameters and Datasets", 4th International Conference on Artificial Intelligence and Speech Technology (AIST2022) on 9-10th December, 2022 at IGDTUW Campus, Delhi. DOI: 10.1109/AIST55798.2022.10064842.

18. Abhishek Sethi, Aditya Jain, Chhavi Dhiman, "Image Caption Generator in Hindi using Attention ", Advanced Production and Industrial Engineering (ICAPIE 2022), DOI:  10.3233/ATDE220727.

19. Chhavi Dhiman Pawan Kumar, Nihal Manzoor, "A Deep Cascaded Multi-task Face Recognition Framework", 8th International Conference on Signal Processing and Integrated Networks (SPIN 2021), DOI: 10.1109/SPIN52536.2021.9566002

20. Aaradhya Wadhawa, Abhishek Garg, Chhavi Dhiman, " FA-Net: A Deep Face Anti-Spoofing Framework using Optical Maps", IEEE International Conference on Intelligent Technologies (CONIT),Hubballi, Kartakata , India, June 24th-26th, 2022; DOI: 10.1109/CONIT55038.2022.9848166

21. Sachin Kumar, Chhavi Dhiman, "Transfer Learning Based Automated Crop Analysis", IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives and Prospects (Com-IT-Con-2022), Fardabad, India, 26-27th, May, 2022. DOI: 10.1109/COM-IT-CON54601.2022.9850441 Paper Code

22. Anunay, Pankaj, Chhavi Dhiman " DepthNet: A Monocular Depth Estimation Framework" 7th International Conference on Engineering and Emerging Technologies (ICEET 2021), ISTANBUL, Turkey. DOI: 10.1109/ICEET53442.2021.9659770  Paper Code 

23. K. Saini, D. K. Vishwakarma and C. Dhiman, "Sentiment Analysis of Twitter Corpus related to COVID-19 induced Lockdown," 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC 2021), pp. 465-470, DOI: 10.1109/ICSCCC51823.2021.9478112.

24. C. Dhiman, M. Saxena and D. K. Vishwakarma, "Skeleton-Based View Invariant Deep Features for Human Activity Recognition," 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM, 2019), Singapore, Singapore, 2019, pp. 225-230. DOI : 10.1109/BigMM.2019.00-21. 

25. C. Dhiman, S. Gupta, D. K. Vishwakarma, “Deep Facial Expression Recognition using Transfer Learning”, 1ST International Conference on Signal Processing, VLSI and Communication Engineering, (ICSPVCE 2019)Delhi, March 28-30, 2019. 

26. C. Dhiman and D.K. Vishwakarma, “A Hybrid Multimodal Tracking System for boarder surveillance” in IEEE International Conference of Soft Computing and Network Security (ICSNS 2018), Saravanampatti,TN, India, February 14-16, 2018. 

27. C. Dhiman and D.K. Vishwakarma, “High dimensional Abnormal Human Activity Recognition Using Histogram Oriented Gradients and Zernike moments” in IEEE International Conference on Computational Intelligence and Computing Research (IEEE ICCIC17), Karumathampatti, India, December 14-16, 2017. 

28. D. Lahiri, C. Dhiman, D.K. Vishwakarma, "Abnormal Human Activity Recognition using Average Energy Images" IEEE International Conference on Information and Communication Technology (CICT-2017), Gwalior, India. 3rd to 5th November, 2017. 

C.   Patents Filed/Published

1. SYSTEM FOR PROGRESSIVE CONTEXTUAL TRAJECTORY PREDICTION , Patent Application-202511035135, Filed on 10 April 2025

Patentee: Neha Sharma, Chhavi Dhiman, S. Indu

2.  Predicting Pedestrian Intentions with Multimodal Intent Former: A Co-Learning Approach, Filed 2025

Patentee: Neha Sharma, Chhavi Dhiman, S. Indu

3. INTELLIGENT MONITORING OF CROPS FOR EFFECTIVE PRODUCTIVITY, Patent Application No. 202111027020 , Filed on 17 June 2021, 

Patentee: Chhavi Dhiman, Dinesh Kumar Vishwakarma