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ORCID14th ICVGIP 2024: Bengaluru, Karnataka, India
- Dinesh Babu Jayagopi, Sumohana S. Channappayya, Elisa Ricci:
Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing, ICVGIP 2024, BengaluruKarnatakaIndia, December 13-15, 2024. ACM 2024, ISBN 979-8-4007-1075-9 - Prateek Jaiswal
, Anoop Namboodiri:
Enhancing Face Quality Assessment through Age and Expression Analysis. 1:1-1:9 - Pranjali Singh, Prithwijit Guha:
IDA-UIE: An Iterative Framework for Deep Network based Degradation Aware Underwater Image Enhancement. 2:1-2:9 - Rashika Bagri, Ankit Rajpal, Naveen Kumar:
An Improved Framework for Precision Grading of Renal Cell Carcinoma using Histopathological Images. 3:1-3:10 - Sayanta Adhikari, Rishav Kumar, Konda Reddy Mopuri, Rajalakshmi Pachamuthu:
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition. 4:1-4:10 - Debabrata Pal, Anvita Singh, Saumya Saumya, Shouvik Das:
Vision-Language Modeling with Regularized Spatial Transformer Networks for All Weather Crosswind Landing of Aircraft. 5:1-5:9 - Pranjal Agarwal, Shivansh Sethi, Viswanath Gopalakrishnan, Biplab Chandra Das, Shouvik Das:
On The Efficacy of Guidance Tasks in Panoptic Segmentation. 6:1-6:8 - Indrajit Mazumdar, Jayanta Mukhopadhyay:
Multi-Scale Transformer-CNN Network for Brain Tumor Segmentation and Survival Prediction. 7:1-7:9 - Shaheen Usmani, Sunil Kumar, Debanjan Sadhya:
Enhancing Generalization Ability in Deepfake Detection via Continual Learning. 8:1-8:8 - Srishti U. Sharma, Srikrishnan Divakaran, Tolga Kaya, Mehul S. Raval:
A Computer Vision Framework on Biomechanical Analysis of Jump Landings. 9:1-9:9 - Om Rajendra Kathalkar, Nitin Nilesh, Sachin Chaudhari, Anoop Namboodiri:
TRAQID - Traffic-Related Air Quality Image Dataset. 10:1-10:10 - Navneeth S. Holla, Anup Kushwaha, Chandramouli Sanchi, Saravana Balaji:
LiAGE : Light-weight Adaptive Gaze Estimation. 11:1-11:8 - Tusita Sarkar, Tushar Abhishek, Partha Bhowmick:
Pick and Pack: revitalizing mandalas through digital artistry. 12:1-12:9 - Sanjot Sagar Totade, Nithin C. Babu, Shika Rao, Rajiv Soundararajan:
Internal Embeddings of Multi-modal LLMs as Generalizable Representations for Image Quality Assessment. 13:1-13:9 - Soham Dasgupta, Kshitij Aphale, Kaustab Pal, Avinash Sharma:
Accurate and Real-time LiDAR Point Cloud Forecasting for Autonomous Driving. 14:1-14:9 - Mohamad Hassan N C, Ankit Jha, Moloud Abdar, Biplab Banerjee:
Can Commonsense Knowledge Improve CLIP's Performance in Cross-Domain VQA?✱. 15:1-15:10 - Bhupendra Solanki, Ashwin R. Nair, Mainak Singha, Souradeep Mukhopadhyay, Ankit Jha, Biplab Banerjee:
GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class Discovery✱. 16:1-16:10 - S. Balasubramanian, M. Sai Subramaniam, Sai Sriram Talasu, Manepalli Pranav Phanindra Sai, Yedu Krishna P, Darshan Gera, Ravi Mukkamala:
EXACFS - A CIL Method to Mitigate Catastrophic Forgetting. 17:1-17:8 - K. Pavan Kumar Reddy, Noorjaha Bhanu Mahammad, Aparna Kanakatte, Divya Bhatia, Jayavardhana Gubbi, Murali Poduval, Arpan Pal:
Simultaneous Segmentation and Anatomical Landmark Detection on 3D Data using Context-aware Multi-task Learning. 18:1-18:6 - Dharini Raghavan, Raghu Krishnapuram, Bharadwaj Amrutur:
Zero-Shot Pose Estimation and Tracking of Autonomous Mobile Robots using Infrastructure Vision Sensors - An End-to-End Perception Framework. 19:1-19:9 - Aparna H, Avik Hati:
APMSA: Crossmodal Remote Sensing Image Retrieval using Attention Pooling and Multimodal Semantic Alignment. 20:1-20:9 - Sasidhar Alavala, Subrahmanyam Gorthi:
Certainty in Uncertainty! An Improved GI Bleeding Detection Pipeline with Uncertainty Estimation. 21:1-21:8 - Alphin J. Thottupattu, K. Pavan Kumar Reddy, Jayavardhana Gubbi, Murali Poduval, Arpan Pal:
Diffusion-Based Generative Model for subject-specific Amyloid Spread Prediction. 22:1-22:7 - Marissa de Ataide, Krishna Patel, Narayan Vetrekar, Rajendra S. Gad:
Influence of Evaluating Cross-Stimulation on the EEG Biometric Verification Performance: Benchmarking Study. 23:1-23:9 - Santanu Roy, Archit Gupta, Shubhi Tiwari, Himaanshi Sharma, Mehak Kapoor, Samay Singh:
A Novel Spatial Attention Module (SAM) for Alzheimer's Detection from MRI Images✱. 24:1-24:10 - Kushal Borkar, Abhilaksh Singh Reen, C. V. Jawahar, Chetan Arora:
No Prompting Frozen Foundation Models: Interactive Medical Volume Segmentation using Continual Test Time Adaptation of Compact Models. 25:1-25:9 - Akshay Daydar, Ajay Kumar Reddy, Sonal Kumar, Arijit Sur, Hanif Laskar:
Med-SeAM: Medical Context Aware Self-Supervised Learning Framework for Anomaly Classification in Knee MRI. 26:1-26:8 - Barda Seema, Aditya, Rohit Kinha, Neeraj Goel:
AppleV: A dataset for Apple fruit Volume Estimation. 27:1-27:8 - Surajit Kundu, Ankita Chatterjee, Jayanta Mukhopadhyay, Nishant Chakravorty:
Semi-Decoupled Distillation for Brain Tumor Segmentation using multimodal MRI Scans. 28:1-28:9 - Pranav Gupta, Advith Krishnan, Naman Nanda, Ananth Eswar, Deeksha Agrawal, Pratham Gohil, Pratyush Goel:
ViDAS: Vision-based Danger Assessment and Scoring. 29:1-29:9 - Vijay Jaisankar, Dinesh Babu Jayagopi:
Spectrogrand: Computational Creativity Driven Audiovisuals' Generation From Text Prompts. 30:1-30:10 - Sanchar Palit, Sandika Biswas:
Variational Distribution and Experience Replay for 3D Reconstruction in a Continual Learning Framework✱. 31:1-31:10 - Uday Agarwal, Yogesh Kumar, Abu Shahid, Prajwal Gatti, Manish Gupta, Anand Mishra:
CHAPVIDMR: Chapter-based Video Moment Retrieval using Natural Language Queries. 32:1-32:9 - Manikanta Bandla:
Transferring Appearance with Mask-Guided Attention✱. 33:1-33:9 - Harini G., Aiman Farooq, Deepak Mishra:
Leveraging Auxiliary Classification for Rib Fracture Segmentation. 34:1-34:8 - Riya Verma, Sukhendu Das:
Covariance-Controlled Feature Space Augmentation and Rectification for Long-Tailed Class Incremental Learning. 35:1-35:9 - Akanksha Sharma, Jyoti Nigam, Abhishek Rathore, Arnav Bhavsar:
EEG classification for visual brain decoding with spatio-temporal and transformer based paradigms. 36:1-36:9 - Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri:
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks✱. 37:1-37:9 - Siva Manohar Reddy Kesu, Neelam Sinha, Hariharan Ramasangu:
Dementia Disease Progression Analysis from 2D Cellular Automata Architecture. 38:1-38:8 - Ananya Bose, Prerana Mukherjee, Anasua Sarkar:
Hierarchical Feature Integrated BoT-UNet with contextual feature enhancement for retinal vessel segmentation. 39:1-39:9 - Siddharath Narayan Shakya, Parimala Kancharla:
Deep Learning Based Compressive Domain Analytics Framework for Seismic Images. 40:1-40:9 - Himashree Kalita, Samarendra Dandapat, Prabin Kumar Bora:
Contextual Self-Attention Based UNet Architecture for Fluid Segmentation in Retinal OCT B-scans. 41:1-41:8 - Ajith Balakrishnan, Sreeja S, Linu Shine:
Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using Attention✱. 42:1-42:8 - Soumen Paul, Partha Pratim Das, Krothapalli Sreenivasa Rao:
Robust Speech Recognition with Unsupervised Frame and Character Level Adversarial Domain Matching. 43:1-43:7 - Mohamed Mansoor Roomi Sindha, Uma Maheswari Pandyan, Priya Kannapiran, Vaishali Vijayarajan, Sasithradevi Anbalagan:
Paddy Pest Detection with a Modified SE-YOLO Model Using the TPD-20 Dataset. 44:1-44:9 - Karamjot Kaur, Vaishali Chawla, Bharti Rana:
Phase Synchronization-based Topological Features for Autism and ADHD Classification. 45:1-45:8 - Aryan N. Herur, Vaibhav Santhosh, Nishanth Shetty, Chandra Sekhar Seelamantula:
Addressing Diffusion Model Based Counter-Forensic Image Manipulation for Synthetic Image Detection. 46:1-46:9 - Kalaivani Paramasivam, Mohamed Mansoor Roomi Sindha, Senthilarasi Marimuthu, Annalakshmi M, Prakash P:
LW-Dehazer: Deep Learning for Dense and Non-Homogeneous Haze Removal. 47:1-47:11 - Avnish Srivastava, Sista Raviteja, Partha Pratim Chakrabarti, Debdoot Sheet:
Exploring the Limits of VLMs: A Dataset for Evaluating Text-to-Video Generation✱. 48:1-48:9 - Sandip Pramanik, Shree Mitra, Nibaran Das:
MoCoMER: A Self Supervised Representation Learning for Handwritten Mathematical Expression Recognition✱. 49:1-49:10
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