Research Interests
Signal Processing (Audio and ECG signals)
Computer Vision
Uncertainty Quantification
AI for genomics
Incremental learning
Research Interests
Signal Processing (Audio and ECG signals)
Computer Vision
Uncertainty Quantification
AI for genomics
Incremental learning
Conferences
Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K. Kurmi. “Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment.” British Machine Vision Conference (BMVC), 2025, Sheffield, UK. (Core Rank A) [PDF]
Rini Smita Thakur, Vinod K. Kurmi. “Uncertainty and Energy-Based Loss Guided Semi-Supervised Semantic Segmentation.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Tucson, Arizona, USA. (CORE Rank A) [PDF]
Shivangi Rai, Rini Smita Thakur, Kunal Jangid, Vinod K. Kurmi. “Evidential Deep Learning for Pseudolabel Refinement in Source-Free Domain Adaptation.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Tucson, Arizona, USA. (CORE Rank A), PDF
Dalavai Udbhav Mallanna, Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K. Kurmi. “Quantifying Uncertainty in Neural Networks through Residuals.”
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024, Boise, Idaho, USA. (CORE Rank A)
PDF
Rini Smita Thakur, Shubhojeet Chatterjee, Ram Narayan Yadav, Lalita Gupta. “Analysis of CNN Digit Classifier Parameters.” 2022 2nd Asian Conference on Innovation in Technology (IEEE ASIANCON), 2022, Pune, India. PDF
Journals
Rini Smita Thakur, Shubhojeet Chatterjee, Ram Narayan Yadav, Lalita Gupta. “Nature-Inspired DBN Based Optimization Techniques for Image De-noising." Intelligent Systems with Applications, Elsevier, 2023. PDF (Scopus Indexed)
Shubhojeet Chatterjee, Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta.“Sparsity-Based Modified Wavelet De-noising Autoencoder for ECG Signals.”
Signal Processing, 2022.PDF (SCIE Indexed)
Rini Smita Thakur, Shubhojeet Chatterjee, Ram Narayan Yadav, Lalita Gupta.“Image De-noising with Machine Learning: A Review.” IEEE Access, 2021. PDF SCIE Indexed)
Shubhojeet Chatterjee, Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta, D. K. Raghuvanshi. “Review of Noise Removal Techniques in ECG Signals.”
IET Signal Processing, 2020. PDF (SCIE Indexed)
Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta. “PReLU and Edge-Aware Filter-Based Image Denoiser Using Convolutional Neural Network.” IET Image Processing, 2020. PDF (SCIE Indexed)
Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta. “State-of-the-Art Analysis of Image Denoising Methods Using Convolutional Neural Networks.” IET Image Processing, 2019. PDF (SCIE Indexed)
Book Chapters
Rini Smita Thakur, Shubhojeet Chatterjee, Ram Narayan Yadav, Lalita Gupta. “Medical Image Denoising Using Convolutional Neural Networks.”In Digital Image Enhancement and Reconstruction, Academic Press, Elsevier, 2023. PDF
Rini Smita Thakur, Shubhojeet Chatterjee, Ram Narayan Yadav, Lalita Gupta.“State-of-the-Art Analysis of Deep Learning Techniques for Image Segmentation.” In Intelligent Multimedia Processing and Computer Vision: Techniques and Applications, Institution of Engineering and Technology (IET), 2023. PDF
Ananya Singha, Rini Smita Thakur, Tushar Patel. “Deep Learning Applications in Medical Image Analysis.” in Biomedical data mining for information retrieval: Methodologies, techniques and applications John Wiley & Sons Ltd., 2021. PDF