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LIST OF POSTER PAPERS FOR ICPR-2024
Here R2 means papers accepted from round 2 submissions and COMP means competition papers
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December 02, 2024
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Poster Session 1
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Poster IDPaper IDAuthorsPaper Title
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1.11502Ji, Zexin*; Zou, Beiji; Kui, Xiaoyan; VERA, Pierre; Ruan, SuSelf-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution
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1.2589ibrahim, vazim; Paul, Joseph Suresh*A Hybrid Domain Encoder-Decoder Network for Progressive k-space Extrapolation in Super-Resolution MRI
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1.3R2-208jiang, feng*; Wen, Jing; Wang, YiDual-ResShift: Dual-input Separated Features Residual Shift Diffusion Model for CTA Image Super-resolution
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1.4797Chatterjee, Ankita*; Dutta, Sandip; Mukhopadhyay, Jayanta; Das, Partha PratimDualViT: A Hierarchical Vision Transformer for Broad and Fine Class Embeddings
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1.51674Kanroo, Muhammad Suhaib*; Kawoosa, Hadia Showkat ; DHAR, JOY; Goyal, PuneetPiExtract: An End-to-End Data Extraction pipeline for Pie-Charts
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1.61020Nouyed, Mohammad Iqbal*; Hartley , Mary-Anne ; Doretto, Gianfranco; adjeroh, DonaldEfficient Classification of Histopathology Images using Highly Imbalanced Data
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1.71195Gupta, Pragya*; Mandal, Subhamoy; Guha, Debashree; Chakraborty, DebjaniMultiscale Color Guided Attention Ensemble Classifier for Age-Related Macular Degeneration using Concurrent Fundus and Optical Coherence Tomography images
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1.8408Agarwal, Akshay*; Vatsa, Mayank ; Singh, Richa; Ratha, NaliniRestoring Noisy Images using Dual-tail Encoder-Decoder Signal Separation Network
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1.91359Grosz, Steven A*; Zhao, Rui; Ranjan, Rajeev; Wang, Hongcheng; Aggarwal, Manoj; medioni, gerard G; Jain, AnilData Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling
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1.101213Setu, Jahanggir Hossain; Hossain, Md Shazzad; Halder, Nabarun; Islam, Ashraful*; Amin, M AshrafulOptimizing Software Release Management with GPT-Enabled Log Anomaly Detection
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1.11977Böhm, Stefan*Advancing 3D Mesh Analysis: A Graph Learning Approach for Intersecting 3D Geometry Classification
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1.12597Saha, Jayasree*; Mukhopadhyay, JayantaIPD: Scalable Clustering with Incremental Prototypes
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1.13R2-115Chen, Liang-Chen*; Gao, Shu; Wei, Zixuan; Liu, Baoxu; Zhang, Xu-YaoENS-RFMC: An Encrypted Network Traffic Sampling Method based on Rule-based Feature Extraction and Multi-hierarchical Clustering for Intrusion Detection
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1.141248Wang, Tung-Lin; Hsieh, Jun-Wei*; Hsieh, Yi KuanPatch-based Prototypical Cross-Scale Attention Network for Anomaly Detection
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1.15R2-392Kumar, Sanjay*; Rastogi, ReshmaAddressing Multi-Label Learning with Missing Labels via Feature Relevance guided Scaled Model Coefficients
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1.16117HEGDE, NARAYAN*; Samaga B L, Yashas; Vaswani, Ashwin; Netrapalli, PraneethAll mistakes are not equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP)
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1.17444BASU, ARKAPRABHA*; Raha, Sourav; Gupta, Avisek; Das, SwagatamImproved Alzheimer's disease detection with Dynamic Attention Guided Multi-modal Fusion
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1.18R2-572Oza, Aditya D*; Patel, Sanskriti; Gyanchandani, Bhavesh S.; Roy, Abhinav ; Kumar, SantoshHybrid CNN-LSTM Framework for Enhanced Congestive Heart Failure Diagnosis: Integrating GQRS Detection
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1.19657Roy, Santanu*; Gupta, Archit; Tiwari, Shubhi; Sahu, PalakAD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer’s Detection from MRI Images
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1.20388Jon, Hyo Jin*; Jung, Hyuntaek; Jin, Longbin; Kim, Eun YiIdentifying Alzheimer’s Disease across Cognitive Impairment Spectrum using Acoustic Features only
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1.21R2-290Bauer, Markus*; Gurwin, Adam; Augenstein, Christoph; Franczyk, Bogdan BF; Małkiewicz, BartoszSWJEPA: Improving Prostate Cancer Lesion Detection with Shear Wave Elastography and Joint Embedding Predictive Architectures.
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1.22R2-529Swarnadip Chatterjee, Orcun Göksel, Nataša Sladoje, and Joakim LindbladDetection of extremely sparse key instances in whole slide cytology images via self-supervised one-class representation learning
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1.23R2-352Joseph, Nirmal*; George, Sudhish; M., Dr. Ameer P.; Raja, KiranAdaSVaT: Adaptive Singular Value Thresholding for Adversarial Detection in Fundus Images
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1.24R2-500Elkhouly, Abdelrhman; AlKsas, Ahmed; Saleh, Gehad ; Shehata, Mohamed*; Karawia, Abdelrahman ; Ghazal, Mohammed; Contractor, Sohail; El-Baz, Ayman SA New AI System for Precise Grading of HCC Based on Analyzing DW-MRI Radiomics and Alpha-fetoprotein as Liver Cancer Clinical Marker
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1.25406Yavuz, Mehmet Can*Policy Gradient-Driven Noise Mask
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1.26558Lozupone, Gabriele; Nardone, Emanuele; Pace, Cesare Davide; D'Alessandro, Tiziana*Transformers and CNNs in Neurodiagnostics: Handwriting Analysis for Alzheimer’s Diagnosis
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1.27R2-288Xu, Pin; Xiao, Xiongjiang; Yuen, Weimin; Li, Yanyi; Li, Kuan; Yin, Jianping*Synthetic Images with Dense Annotations and Ensemble Learning for DFU Segmentation
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1.281079Aithal, Ninad *; Bhattacharya, Debanjali; Sinha, Neelam; Issac, Thomas GregorLeveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment
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1.29290Dey, Samiran*; Kundu, Bijon; Basuchowdhuri, Partha; Saha, Sanjoy K; Chakraborty, Tapabrata Dr.A fast domain-inspired unsupervised method to compute COVID-19 severity scores from lung CT
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1.30918Weinberger, Patrick*; Fröhler, Bernhard BF; Heim, Anja; Gall, Alexander; Bodenhofer, Ulrich; Senck, SaschaApplying layer-wise relevance propagation on U-Net architectures
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1.31R2-570Chowdhury, Pathikreet; Srivastava, Gargi*Enhanced Classification and Segmentation of Brain Tumors in MRI Images Using Custom CNN and U-Net Models with XAI
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1.321178Kumar, Sanidhya; Vilvadrinath, Varun ; Bhatt, Jignesh S.*; Phophalia, AshishVisualizing Dynamics of Federated Medical Models via Conversational Memory Elements
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1.33404Deng, Bowen*; Hua, Yang; Zhang, Wenjie; Song, Xiaoning; Wu, Xiao-JunDRIVPocket: A Dual-stream Rotation Invariance in Feature Sampling and Voxel Fusion Approach for Protein Binding Site Prediction
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1.34100BAPPY, D M*; Kang, Donghwa; Lee, Jinkyu; Lee, Youngmoon; Koo, Minsuk; Baek, HyeongbooSpecular Region Detection and Covariant Feature Extraction in Endoscopy Imaging
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1.35779Li, Zhuocheng; Shen, Xizhu; Luan, Simin; Guo, Shuwei SW; Boukhers, Zeyd; Wang, Yuyi; Yang, Cong*Moiré Pattern Detection: Stability and Efficiency with Evaluated Loss Function
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1.36418Yang, hanjin*; Li, Feng6-DOF motion blur synthesis and performance evaluation of object detection
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1.37R2-518Nguyen, Thanh Truong; Nguyen, Thanh Tien; Longmuir, Martin; Elyan, Eyad; Dang, TruongA novel ensemble aggregation method based on Deep Learning representation
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1.381116Surisetty, Hima Varshini; Gottimukkala, Sarayu Varma; Prabhakar, Priyanka; PATI, PEETA BASAPredicting Judgement Outcomes from Legal Case File Summaries with Explainable Approach
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1.39248Singh, Ankita; Chakraborty, ShayokKnowledge Distillation in Deep Networks under a Constrained Query Budget
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1.40R2-265Hondru, Vlad; Ionescu, Radu TudorTowards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation
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1.41473Pal, Ratnabali; Kar, Samarjit; Sekh, Arif AhmedCustomizable and Programmable Deep Learning
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1.42943Pathak, Prakrit; Rana, Prashant SinghComparative Analysis Of Pretrained Models for Text Classification, Generation and Summarization : A Detailed Analysis
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1.43R2-160Patel, Jyoti ; Mandal, Soumen; Bhattacharyya, MalayJudgment Analysis in a Streaming Setting Incurring Logarithmic Space of the Annotators
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1.44197Zhou, Yuxian; Yue, Xiaodong; Chen, Yufei; Xie, ShaorongDeep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process
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1.45280Upadhyay, Vishvajeet; Paul, AngshumanAdabot: An Adaptive Trading Bot using an Ensemble of Phase-specific Few-shot Learners to Adapt to the Changing Market Dynamics
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1.46399Trinh, Hoang-HiepUncertainty in Ambiguity of Data
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1.47454Rahmati, Amir Hossein; Fan, Mingzhou; Zhou, Ruida; Urban, Nathan; Yoon, Byung-Jun; Qian, XiaoningWhen Uncertainty-based Active Learning May Fail?
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1.481547Sharma, Tilak; Ratha, NaliniPrivacy-Preserving Ensemble Learning using Fully Homomorphic Encryption
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1.4980Lyu, Zongyao; Beksi, WilliamSemi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
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1.50494Mandalika, Sriram; Nambiar, AthiraSegXAL: Explainable Active Learning for semantic segmentation in driving scene scenarios
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1.51826yuan, rui; Yuan, ChunAMC-OA: Adaptive Multi-Scale Convolutional Networks with Optimized Attention for Temporal Action Localization
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1.52R2-120Bicego, Manuele; Hassan, Hafiz AhmedAn extension of Random Forest-Clustering schemes which works with partition-level constraints
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1.5381Zhu, Jian; Ruan, Yu-Ping; Chang, Jingfei; Sun, Wenhui; Wan, Hui; Long, Jian; Luo, ChengDeep Prompt Multi-task Network for Abuse Language Detection
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1.54786Liu, Jianhao; Gong, Wenjuan; Shi, Tingbo; Li, Kechen; Jin, Yi; Gonzalez, JordiFedSOKD-TFA: Federated Learning with Stage-Optimal Knowledge Distillation and Three-Factor Aggregation
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1.55R2-178MECHACHE, Abderrahim; Kheddouci, HamamacheEnhancing Protein Classification with Graph Convolutional Neural Networks
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1.561158Pastorino, Martina; Moser, Gabriele; Guerra, Fabien; Serpico, Sebastiano; Zerubia, JosianeProbabilistic Fusion Framework Combining CNNs and Graphical Models for Multiresolution Satellite and UAV Image Classification
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1.571197DAS, NABAJYOTI; Bortiew, Amos; Patra, Dr. Swarnajyoti;PolSAR Image Classification Using Superpixel Profile and CNN
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1.58R2-636Alshammari, Khaznah; Hamdi, Shah Muhammad; Filali Boubrahimi, SoukainaTransformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction
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1.59870Roy, DebapriyaAn Approach Towards Learning K-means-friendly Deep Latent Representation
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1.601391Hosseinzadeh, Pouya; Filali Boubrahimi, Soukaina; Hamdi, Shah MuhammadFAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification
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1.61417Lu, Xinying; Xiao, JianliFPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection
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1.62646Serrano Antón, Belén*; Rehman, Mubashara; Martinel, Niki; Avanzo, Michele; Spizzo, Riccardo; Fanetti, Giuseppe; Muñuzuri, Alberto P.; MICHELONI, CHRISTIANMAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning
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1.63101BAPPY, D M*; Kang, Donghwa; Lee, Jinkyu; Lee, Youngmoon; Koo, Minsuk; Baek, HyeongbooAdvanced Endoscopy Imaging with Automatic Feedback
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1.64102BAPPY, D M*; Kang, Donghwa; Lee, Jinkyu; Lee, Youngmoon; Baek, HyeongbooDeep Prior Based Limited-Angle Tomography
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1.65419Amoros, Mario; Curado, Manuel*; vicent, JoseCTextureFusion: Advanced Texture Transfer with Multi-Head Attention for Improving Lung CT Super Resolution
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1.66R2-579Shah, Arth Juhul*; Suthar, Manish ; Patil, HemantMulti-Block U-Net for Wind Noise Reduction in Hearing Aids
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1.671215Das Chakladar, Debashis*; Shankar, Anand Mr; Simistira Liwicki, Foteini; Barma, Shovan; Saini, RajkumarAttention Dynamics: Estimating Attention Levels of ADHD using Swin Transformer
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1.68274Ahmed, Md Kaisar*; Yeasin, MohammedMU-Net: Modified U-Net for Precise Localization and Segmentation of Lumber-Spine Regions from Sagittal Views
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1.691062Acharjee, Raktim*; Ahamed, Dr. Shaik RafiEEG Data Augmentation using Generative Adversarial Network for Improved Emotion Recognition
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1.70583Balaha, Hossam Magdy*; Ali, Khadiga Mohamed; Gondim, Dibson; Ghazal, Mohammed; El-Baz, Ayman SHarnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis
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1.711398Tangudu, Venkata Santhosh Kumar*; Kakarla, Dr Jagadeesh; Kumar, Bala Vikranth ; Prabhu, SamCycleGAN based bone suppression techniques for standard CXR images
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1.72R2-368Sonawane, Yash S; H.Kolekar, Maheshkumar; Yadav, Agnesh Chandra*; Kadam, Gargi; Tiwarekar, Sanika; Kalbande, Dr. DhananjayDCRUNet++: A Depthwise Convolutional Residual UNet++ Model for Brain Tumor Segmentation
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1.731203BALA KRISHNA, THUNAKALA; Poreddy, Ajay kumar reddy; Gnapika Sindhu, Kolla; Kokil, Priyanka *Automated maternal fetal ultrasound image identification using a hybrid vision transformer model
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1.74952Portal, Nicolas*; Dietenbeck, Thomas; Khan, Saud; Nguyen, Vincent; Prigent, Mikael; Zarai, Mohamed; Bouazizi, Khaoula; Sylvain, Johanne; Redheuil, Alban; Montalecot, Gilles; Kachenoura, Nadjia; Achard, CatherineLearning to estimate motion between non-adjacent frames in cardiac Cine MRI data: a fusion approach
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1.751642Khaled, Afifa*BCN: Batch Channel Normalization for Image Classification
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1.761404Siddhad, Gourav*; Roy, Partha Pratim; Kim, Byung-GyuNeural Networks Meet Neural Activity: Utilizing EEG for Mental Workload Estimation
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1.771613Pandey, Vishal*; Panwar, Nikhil; Kumbhar, Atharva; Roy, Partha Pratim; Iwamura, MasakazuEnhanced Cross-Task EEG Classification: Domain Adaptation with EEGNet
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1.78R2-463Siddhad, Gourav*; Dey, Sayantan ; Roy, Partha PratimDrowzEE-G-Mamba: Leveraging EEG and State Space Models for Driver Drowsiness Detection
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1.79R2-505BOLLU, THARUN KUMAR REDDY*; PAREKKATTIL, ADARSH V; Varun, Sanjeev KumarEEG-based Reaction Time Prediction using Covariance 2D Convolutional Neural Network
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1.801192Poonam, Km*; Kotra, Venkata Sathwik ; Guha, Rajlakshmi; Chakrabarti, Partha PHierarchical Classification of Frontotemporal Dementia Subtypes Utilizing Tabular-to-Image Data Conversion with Deep Learning Methods
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1.81R2-493DHAR, JOY*; Rana, Kapil; Goyal, PuneetUncertainty-RIFA-Net: Uncertainty Aware Robust Information Fusion Attention Network for Brain Tumors Classification in MRI Images
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1.82512Oza, Aditya D*; Patel, Sanskriti; Kumar, Santosh; Shrivastava, AbhishekAdvanced Framework for Early Congestive Heart Failure Detection Using Electrocardiogram Data and Ensemble Learning Models
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1.83R2-612Sharafeldeen, Ahmed*; Balaha, Hossam Magdy; Mahmoud, Ali; Khaled, Reem ; Taman, Saher ; Hussein, Manar ; Ghazal, Mohammed; El-Baz, Ayman SA Multimodal MRI-based Framework for Thyroid Cancer Diagnosis using eXplainable Machine Learning
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1.841214Gu, Yunrui*; Kong, Cong; yin, zhaoxia; Li, Qingli; Wang, YanMedical Image Classification Attack Based on Texture Manipulation
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1.85R2-142Hu, Jiannan*; Wu, Cong; Xu, Tianyang; Wu, Xiao-Jun; Kittler, JosefSpatio-Temporal Domain-Aware Network for Unsupervised Skeleton-based Action Recognition
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1.86758Shi, Dongzi*; Zhang, Xin; Cheng, Jiale; Xiong, Tong; Ni, HaoAdaptive Global Gesture Paths and Signature Features for Skeleton-based Gesture Recognition
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1.87R2-448Qiu, Yihui*; Rajan, DeepuImproving Temporal Action Segmentation and Detection with Hierarchical Task Grammar
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1.881382Al-Saad, Mohammad Z*; Bhandarkar, Suchendra M.; Ramaswamy, Lakshmish MJS-Siamese: Generalized Zero Shot Learning for IMU-based Human Activity Recognition
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1.891528Haque, Syed Tousiful *; Ni, Jianyuan; Li, Jingcheng; Yan, Yan; Ngu, Anne HLightHART: Lightweight Human Activity Recognition Transformer
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1.90R2-124Ray, Lala Shakti Swarup*; Geißler, Daniel; Liu, Mengxi; Zhou, Bo; Suh, Sungho; Lukowicz, PaulALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based HAR
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1.91673Osman, Nada*; Torki, MarwanTemporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
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1.92R2-525Feng, Miao*; Meunier, JeanHybrid Human Action Anomaly Detection based on Lightweight GNNs and Machine Learning
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1.93697Qiao, Tanqiu; Li, Ruochen; Li, Frederick W. B.; Shum, Hubert P. H.*From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
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1.94864Kiftiyani, Usfita; Lee, Seungkyu*Joint-Temporal Action Segmentation via Multi-Action Recognition
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1.95R2-370Singh, Himanshu*; Dey, Avijit; Subudhi, Badri N; Jakhetiya, VinitProject and Pool: An Action Localization network for localizing actions in Untrimmed Videos
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1.96788Trehan, Shubham; Aakur, Sathyanarayanan N*Self-supervised Multi-actor Social Activity Understanding in Streaming Videos