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ORCID15th ICVGIP 2025: Mandi Himachal Pradesh, India
- Ragini Verma, Anand Mishra, Arnav Bhavsar:
Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2025, Mandi Himachal Pradesh, India, December 17-20, 2025. ACM 2025, ISBN 979-8-4007-1930-1 - Suresh Nehra
, Aupendu Kar, Prabir Kumar Biswas, Jayanta Mukhopadhyay:
Light-Field Dataset for Disparity Based Depth Estimation. 1:1-1:10 - Samarth Garg, Debanjan Sadhya, Sunil Kumar:
ReviewGuard: Context-Aware Detection of AI-Generated Text in Academic Peer Reviews. 2:1-2:8 - Aditi Palit, Pranay Varna Chinthapatla, Kalidas Yeturu:
Mask What Matters: Action-Specific Privacy via Object-Layer Transformation. 3:1-3:9 - Debapriya Roy, Angshul Majumdar:
Smoothness-Preserving Deep Semi Non-negative Matrix Factorization for Clustering. 4:1-4:9 - Ankita Raj, Kaashika Prajaapat, Tapan Kumar Gandhi, Chetan Arora:
Mimicking Human Visual Development for Learning Robust Image Representations. 5:1-5:10 - Mrinmoy Sen, Akshay Bankar, Ravikiran Kundapur Subraya, Roopa Sheshadri, Kyuwon Kim:
Multi-modal Image Colorization with Instance-Aware Transformer network. 6:1-6:9 - Dillip Sathiyamoorthy, Prithwijit Guha:
VAD-FedHSM: Video Anomaly Detection in Federated Learning Framework with Local Hard Sample Mining. 7:1-7:10 - Abhay Kumar Dwivedi, Shanu Saklani, Soumya Dutta:
Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation. 8:1-8:9 - Gyanendra Chaubey, Azad Singh, Aiman Farooq, Deepak Mishra:
RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation. 9:1-9:9 - Ketan P. Detroja, Soham Chatterjee:
Lightweight and Accurate Deepfake Detection using Gradient-Aware SE-Enhanced EfficientNetV2-S. 10:1-10:8 - Akash Manna, Radha Krishna Deshpande, Ajoy Mondal, C. V. Jawahar:
Label-Free Adaptation of Indic Printed OCR. 11:1-11:9 - Anup Kushwaha, Banseedhar Gondaliya, Chandramouli Sanchi, Surya Kumar, Apil Thapa, Edula Sri Ranga Srihit Reddy:
Screen2UI: Pixel-Only On-Device UI Hierarchy Generation. 12:1-12:9 - Siva Manohar Reddy Kesu, Neelam Sinha, Hariharan Ramasangu, Thomas Gregor Issac:
Alzheimer's Disease Classification using Retinal OCT: TransNetOCT and Swin Transformer Models. 13:1-13:9 - Bavneet Kaur, Gurpreet Singh Josan:
Evaluating Illumination Effects on AU Intensity in Bone-Driven Facial Animation of 3D Avatar. 14:1-14:9 - Sunayana Samavedam, Venkat Adithya Amula, Saurabh Saini, Avani Gupta, P. J. Narayanan:
CAV Styler- Making Neural Style Transfer Interpretable and controllable. 15:1-15:9 - Pratyush Jena, Amal Joseph, Arnav Sharma, Ravi Kiran Sarvadevabhatla:
Unveiling Text in Challenging Stone Inscriptions: A Character-Context-Aware Patching Strategy for Binarization. 16:1-16:9 - Prabhat Kumar, Himanshu Singh, Badri Narayan Subudhi, Geatanon Di Caterina, Vinit Jakhetiya, T. Veerakumar:
Enhancing Spiking Neural Networks with Evidential Deep Learning for Object Classification on Event Based Dataset. 17:1-17:9 - Chiranjeev Bhaya, Mithil Shail, Chandra Mohan Velpula, Dhrubajyoti Mandal, Sourav Kumar Parida, Subhadeep Bhadra, Sujoy Datta:
A Pixel-Mapping Based Fast Image Rotation Algorithm. 18:1-18:9 - Sujoy Nath, Arkaprabha Basu, Sharanya Dasgupta, Swagatam Das:
HalluShift++: Bridging Language and Vision through Internal Representation Shifts for Hierarchical Hallucinations in MLLMs. 19:1-19:9 - S. Jeba Berlin, Antara Roy Choudhury, Arita Noelle Prasad, Sowmya Murli, Dinesh Babu Jayagopi, Vijaya Raman, Shyam Sundar Rajagopalan:
Early Diagnosis of Autism through Behaviors from Semi-Structured Triadic Play Interaction Videos. 20:1-20:10 - Dara Deepthi, P. Radha Krishna:
Classification of Brain Tumours Using Multimodal Driven Deep Learning Techniques. 21:1-21:8 - Vikas Sharma, Jagannath Prasad Sahoo, Amit Shukla, Durgesh Ameta, Jay Shorey, Sindhuja Reddy, Pranav Prashant Shewale, Sushant Sharma:
TongueSight: AI-Powered Tongue Analysis for Digitizing Traditional Medicine Diagnostics. 22:1-22:7 - Shehroz S. Khan, Petar Przulj, Ahmed Ashraf, Ali Abedi:
ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays. 23:1-23:8 - Aupendu Kar, Krishnendu Ghosh, Prabir Kumar Biswas:
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration. 24:1-24:9 - V. S. Sukesh Babu, Pawan Kumar Bamne, Rahul Raman:
CamPedV2: A Comprehensive Dataset for Advancing Pedestrian Detection Models. 25:1-25:8 - Shashank Krishna Vempati, Gaurav Talebailkar, Sai Prabhath Bogam, Bhaskar Arun, Kayalvizhi Ganesan, Chetan Arora:
From Words to Paragraphs: Hierarchical Dense Text Detection with SAM-Adaptive Backbone. 26:1-26:10 - Arghya Pratihar, Swagato Das, Swagatam Das:
Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering. 27:1-27:9 - Somarowthu Gani Lakshmi, Makkapati Prasanna Lakshmi, Bandaru Ganesh Sai Manideep, Katikela Manaswani, Kalapatapu V. S. K. R. Shiva Kumar:
A CBAM-Enhanced EfficientNet-DCGAN Hybrid CNN for Class-Imbalanced Skin Lesion Classification on HAM10000. 28:1-28:7 - Chirayu Agrawal, Snehasis Mukherjee:
SCoDA: Self-supervised Continual Domain Adaptation. 29:1-29:9 - Swapnil Thatte, Promita Banerjee, Mayank Vatsa, Richa Singh, Bhanu Duggal, Angshuman Paul:
MFA-U-Net: U-Net with Multi-level Feature Aggregation for Scale-free Medical Image Segmentation. 30:1-30:8 - Surbhi Madan, Shreya Ghosh, Ramanathan Subramanian, Tom Gedeon, Abhinav Dhall:
CSGaze: Context-aware Social Gaze Prediction. 31:1-31:9 - Shaon Bhattacharyya, Ajoy Mondal, C. V. Jawahar:
FormLens: From Ink to Insight with Adapting Vision-Language Models for Handwritten Form Digitization. 32:1-32:9 - Advait Amit Kisar, Sumeet Shekhar, Gopi Raju Matta, Kaushik Mitra:
A Hybrid Dataset and Depth-Guided Transformer for Nighttime Flare Removal. 33:1-33:9 - Kriti Khare, Parimala Kancharla:
Quality Aware Text-to-Image Synthesis with distortion maps as structural guides. 34:1-34:8 - Roshin Roy, Konda Reddy Mopuri:
Metric-based Regularization for Training GANs on Long-Tailed Datasets. 35:1-35:10 - Jagadish Kashinath Kamble, Jayanta Mukhopadhyay, Debaditya Roy, Partha Pratim Das:
Generating Key Postures of Bharatanatyam Adavus with Pose Estimation. 36:1-36:10 - Sayan Kahali, Ajoy Dey, Aalekhya Mukhopadhyay, Sounak Dey:
SPIKECODE: Spiking Autoencoder FrameWork for Lossy Image Compression on Constrained Low-Power Edge Devices. 37:1-37:8 - Rutvik Patel, Anureet Chhabra, Ankita Raj, Chetan Arora:
Rethinking Detection Heads: Enhancing YOLO for Drone Image Object Detection. 38:1-38:10 - Harichandana B. S. S, Sumit Kumar, Deepak Chaurasia:
Adaptive Binary Wallpaper Abstraction for Power-Conscious Always-On Displays. 39:1-39:9 - Anuran Basu, Kotha Kartheek, Lingamaneni Gnanesh Chowdary, Snehasis Mukherjee:
A Unified model for the Adverse Weather Removal using Squeeze-and-Excitation Attention. 40:1-40:9 - Deepika Kamboj, Gaurav Harit:
Towards Structured Multimodal Understanding: Scientific Diagram Captioning with Modern VLMs. 41:1-41:9 - Kunal Dargan, Nikhil Kumar Jangamreddy, Chetan Arora:
CP-SIS: Learnable Class Prototypes for Efficient Surgical Instrument Segmentation. 42:1-42:10 - S. Balasubramanian, M. Sai Subramaniam, Sai Sriram Talasu, Yedu Krishna P, M. Pranav Phanindra Sai, Darshan Gera, Ravi Mukkamala:
Contextual Memory Recall: A Novel Metric for Class Incremental Learning. 43:1-43:8 - Rajeev Ranjan Dwivedi, Mohammedkaif Rafiq Kalagond, Monika Sharma, Amit Sangroya:
Equitable Dermatology: Adversarial and Spectral Techniques for Fair Skin Lesion Classification. 44:1-44:9 - Debmani Saha, Kumari Rina, Deepshikha Ray, Kaushik Mukhopadhyay, Ayoleena Roy, Oishila Bandyopadhyay:
Severity Grading of Autism Spectrum Disorder from Eye Gaze Scanpath Trajectory using Deep Learning. 45:1-45:8 - Meghana Shankar, Akanxit Upadhyay, Anmol Namdev, Green Rosh K. S, Pawan Prasad Bh:
PHAF: Personalised Hand Avatar in a Flash. 46:1-46:9 - Darshan Gera, Vignesh Sai Sankalp Sham, Ritu Raj Pradhan, S. Balasubramanian, Ravi Mukkamala, Sreepada V. Satya N. Sarma:
Zero-Shot Autism Behaviour Recognition Leveraging Multimodal Representations and Cross-Dataset Evaluation. 47:1-47:9 - Udayraj Mangal, Anchal Pandey:
B2R2Net: Robust and Lightweight Bounding Box Refining & Refactoring Network for Geometry-Agnostic Screenshots. 48:1-48:7 - Thomas Apotheker, Siraj T. M, Raji Susan Mathew, Navchetan Awasthi:
Context-QSMnet: Enhancing Generalization in Quantitative Susceptibility Mapping with Context-Aware Deep Neural Networks. 49:1-49:8 - Shayon Dasgupta, Avijit Dasgupta, C. V. Jawahar:
Are We There Yet? Exploring the Capabilities of MLLMs in Assistive AI Applications. 50:1-50:9 - Aparna Agrawal, Seshadri Mazumder, C. V. Jawahar, Vinay P. Namboodiri:
Towards Scalable Sign Production: Leveraging Co-Articulated Gloss Dictionary for Fluid Sign Synthesis. 51:1-51:10 - Om Rajendra Kathalkar, Nitin Nilesh, Sachin Chaudhari, Anoop Namboodiri:
AQIFormer: A Transformer-Based Multi-View Architecture for Cross-City Air Quality Classification. 52:1-52:9 - Aryan Naveen, Gopika Gopan K, Neelam Sinha:
Is the Spatial Structure as Important as Temporal Structure in EEG Signals? 53:1-53:9 - Franklin Burhagohain, Shovan Barma:
T2M-CycleGAN: A Knowledge-Distilled CycleGAN Framework for High-Fidelity 3T-to-7T MRI Translation. 54:1-54:8 - Kanika Arora, Nazreen Shah, Ashish Sethi, Ranjitha Prasad, Mithun Uliyar, Krishna A G:
Personalized Federated Autoencoders: Unsupervised Representation Learning at the Edge. 55:1-55:9 - Devansh Garg:
Strongly Connected Components Are All You Need: Graph-Theoretic Interpretability and Optimization for Vision Transformers. 56:1-56:9 - Kajal Sanklecha, Siddharth Mangipudi, Prayushi Mathur, P. J. Narayanan:
Mesh Object Retrieval using Self-Supervised Mesh Convolution. 57:1-57:10 - Gowthamaan Palani, Ganapathy Krishnamurthi:
MDFN: Efficient Image Super-Resolution through Multi-Domain Feature Fusion. 58:1-58:9 - Seema Kumari, Mitkumar Patel, Ankeshwar Ruthesha, Shanmuganathan Raman:
PointxLSTM: Integrating xLSTM for 3D Point Cloud Completion and Analysis. 59:1-59:10 - Suruchi Kumari, Aryan Das, Swalpa Kumar Roy, Indu Joshi, Pravendra Singh:
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation. 60:1-60:10 - Namrata Das, Samit Biswas:
Writer Identification from Multilingual Handwritten Indic Text Document Images. 61:1-61:9 - Chiranjeev Bhaya, Mithil Shail, Chandra Mohan Velpula, Sarbojit Ganguly, Praveen Bangre Prabhakar Rao:
A Fast Lossless Compression Algorithm for Color Filter Arrays. 62:1-62:9 - Devansh Shrestha, Varun Dutt:
Behavioral Evaluation of Prospect-Theoretic Instance-Based Learning: Modeling Risk and Alternation in Experience-Based Decisions. 63:1-63:8 - Kashish Jain, Narayan Ji Mishra, Vireshwar Kumar, Ashok Kumar Bhateja:
Chaff-Free Fuzzy Vault using Multimodal Biometrics for Secure Key Access. 64:1-64:9 - Samik Some, Vinay Namboodiri:
Can Unsupervised Segmentation Reduce Annotation Costs for Video Semantic Segmentation? 65:1-65:9 - Devika R. G., Sivakumar Ramachandran, Linu Shine, Jiji C. V.:
UNet-Mamba Fusion for Automated Glaucoma Screening via Cup-to-Disc Ratio Estimation. 66:1-66:9 - Akhilaraj D, Joseph Zacharias:
IDANet: Identity-Driven Attention Network for Unsupervised Synthetic Noise Removal. 67:1-67:9 - Sumesh Prasad, Ojaswini Sharma, Saket Anand:
Lightweight Models for Classification and Detection via Knowledge Distillation and Distance Correlation. 68:1-68:9 - Yash Arora, Aditya Arun, C. V. Jawahar:
What is there in an Indian Thali? 69:1-69:9 - Aditi Palit, Kalidas Yeturu:
Pooling Diverse Voices: Logarithmic Binary Fusion for Server-Side Pseudo-Labeling in Federated Learning. 70:1-70:7 - Farzana S, C. V. Rishi, Shubham Goel, Aditya Arun, C. V. Jawahar:
How Does India Cook Biryani? 71:1-71:10 - Jayasree Saha, vinay P. Namboodiri, C. V. Jawahar:
Low SNR Speech Perception with HuBERT: A Discussion on Visual-Audio Fusion and Domain-Specific Modeling. 72:1-72:9 - Subramanyam Sahoo, Rajesh Kesavalalji, Joel Jojo, Sonal Singh, Bharat Kumar Bolla:
The Green Mile: A Multi-Layered Quest to Reveal, Measure, and Slash Carbon Emissions in AI Training & Inference. 73:1-73:8 - Hanvitha Saraswathi Mukkamala, Shankar Gangisetty, Ananya Kulkarni, Veera Ganesh Yalla, C. V. Jawahar:
Enhancing Driving Visibility via Semantic-Guided Knowledge Distillation Framework for Adverse Weather Removal. 74:1-74:9 - Sanjay Bhargav Dharavath, Hanvitha Saraswathi Mukkamala:
Quantformers: Bits to Qubits. 75:1-75:8 - Arkapal Panda, Aditya Shankar Pal, Utpal Garain:
Theoretical Perspective on Histogram Binning with Extension to Multi-label Medical Image Classification. 76:1-76:8 - Dhivya S. D, P. L. Chithra:
Spatial - Aware Hierarchical Graph Networks for Volumetric Medical Image Segmentation. 77:1-77:9 - Raghav Mittal, Lokender Tiwari, Shivam Ashok Shukla, Mritunjoy Halder, Brojeshwar Bhowmick:
GeMR : Multi-modal Interactive 3D Scene Composition In XR. 78:1-78:10 - Vasudha Joshi, Adrish Adhikari, Pabitra Mitra, Supratik Bose:
Medical Semantic-Aware Image-Text Alignment loss for Medical Visual Question Answering. 79:1-79:9 - Evani Lalitha, Ajoy Mondal, C. V. Jawahar:
SemiHastakshar: Generalizable Indic Handwritten OCR through Semi-Supervised Learning. 80:1-80:9 - Harinandan Shukla, Prankur Shukla, Umarani Jayaraman:
Self-Supervised Learning for Annotation-Efficient Endoscopic Instrument Segmentation. 81:1-81:6 - Himanshu Patil, Geo Jolly, Ramana Raja Buddala, Ganesh Ramakrishnan:
Improving Video Question Answering through query-based frame selection. 82:1-82:8 - Padmasri P, B. Sathya Bama, Mohamed Mansoor Roomi Sindha:
Milk or mimic? MilkNet: Spectral-Spatial Fusion Net for Brand Authentication in Commercial Milk Products Using Hyperspectral Imaging. 83:1-83:9 - Anju J. S, Pradeep R, Linu Shine, Sreeni K. G:
HGRLiteNet: A Lightweight Hand Gesture Recognition Network. 84:1-84:6 - PushapDeep Singh, Jyoti Nigam, Medicherla Vamsi Krishna, Arnav Bhavsar, Aditya Nigam:
On the Transferability of LaBraM: Evaluating Representations across Visual and Clinical Domains with Convolutional Adapters. 85:1-85:7 - Susant Kumar Panigrahi, Subhoshri Pal, Pradipta Sasmal, Debdoot Sheet:
TransUNet-Recon: A Transformer-Augmented UNet Architecture for Accelerated MRI Reconstruction. 86:1-86:8 - Raj Bahadur Singh, Aloke Datta:
RMA-Net: Residual Multiscale Attention CNN for Hyperspectral Brain Tissue Classification. 87:1-87:9 - Supreet Kaur, Ajay Parakh, Vishakha Pareek, Rajendra Nagar, Santanu Chaudhury:
Knowledge-Based Metaverse for Crafts. 88:1-88:8 - Madan Sharma, Aditya Singh, Ashank Kunwar, Nirbhay Kumar Tagore, Sachin Kumar:
Retrieval Augmented Continuous Person Tracking and Re-Identification. 89:1-89:11 - Priya Kannapiran, Mohamed Mansoor Roomi Sindha, Mathu sudhanan Sreenivasan, Shaan Sindha M, Uma Maheswari Pandyan:
A Lightweight Dual-Stream Framework for Vision-Based Musth Detection in Elephants. 90:1-90:9 - Moumita Dholey, Rosina Ahmed, Sanjoy Chatterjee, Jayanta Mukhopadhyay:
DWT-Mamba: A Spatially-Aware State Space Model for Medical Image Classification. 91:1-91:9 - Sayak Dutta, Harish Katti, Shashikant Verma, Shanmuganathan Raman:
UnCageNet: Tracking and Pose Estimation of Caged Animals. 92:1-92:9 - Sukanya Das, Debasis Samanta, Monalisa Sarma:
Statistically Validated Hybrid Fusion and Ensemble Feature Selection for Static Sign Language Recognition. 93:1-93:11 - Parshiv Kapoor, Yash Bansal, Deychen Myes, Sherrin Jacob, Venkateswaran K. Iyer, Lavleen Singh, Aparajita Khan, Partha Pratim Roy:
Weighted Color‑Morphology Feature Fusion for Tuberculosis Bacilli Detection from Cytopathology Images. 94:1-94:9 - Mirothali Chand, Varun Dutt, Kv Uday:
A Deep Learning Integrated Stacked Ensemble Framework for Futuristic Landslide Prediction using Multimodal Sensor Data. 95:1-95:9 - Prasenjit Betal, Pabitra Mitra, Arindam Dasgupta, Chittaranjan Mandal, Prateek Gupta:
Topological Analysis of Plant Structure Using Persistent Homology for Genotype Classification. 96:1-96:8 - Jyoti Nigam, Utsav Jain, Piyush Kumar, Aryan Raj, Gopesh Sharma, Aaditya Singh, Asmit Kumar, Aditya Nigam, Arnav Bhavsar:
EEG-Guided Image Synthesis via Hybrid Embedding and Diffusion Framework. 97:1-97:8 - Priyobrata Mondal, Soumi Pal, Swagatam Das:
TranSMOTE: Transformer Based Synthetic Minority Oversampling Technique. 98:1-98:11 - Ayushman Datta, Priyobrata Mondal, Swagatam Das:
Margin Adaptation: Enhanced Label-Distribution-Aware Margins with Strategic Reweighting and Representation Optimization. 99:1-99:12 - Navdha Bhardwaj, Yashit Verma, Arnav Bhavsar:
A New Diverse Dataset for rPPG Estimation, and Benchmarking with Standard Frameworks. 100:1-100:7
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