2 citations · 5 across the 10 of their papers we have counts for
12 papers
What Are We Really Measuring? Rethinking Dataset Bias in Web-Scale Natural Image Collections via Unsupervised Semantic Clustering
Amir Hossein Saleknia, Mohammad Sabokrou
In computer vision, a prevailing method for quantifying dataset bias is to train a model to distinguish between datasets. High classification accuracy is then interpreted as eviden…
TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection
Alireza Salehi, Ehsan Karami, Sepehr Noey +4
Anomaly detection identifies departures from expected behavior in safety-critical settings. When target-domain normal data are unavailable, zero-shot anomaly detection (ZSAD) lever…
Exploiting Layer-Specific Vulnerabilities to Backdoor Attack in Federated Learning
Mohammad Hadi Foroughi, Seyed Hamed Rastegar, Mohammad Sabokrou +1
Federated learning (FL) enables distributed model training across edge devices while preserving data locality. This decentralized approach has emerged as a promising solution for c…
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
Sasan Sharifipour, Constantino Álvarez Casado, Mohammad Sabokrou +1
Training deep learning models for point cloud prediction tasks such as shape completion and generation depends critically on loss functions that measure discrepancies between predi…
Brain-Inspired Stochastic Joint Embedding Representation Learning
Makoto Yamada, Kian Ming A. Chai, Ayoub Rhim +3
Representation learning is one of the key research topics in machine learning, and the framework of self-supervised learning (SSL) has revolutionized computer vision. However, thes…
Disjoint chorded cycles in a -connected graph
Zai Ping Lu, Shu Dan Xue
A chorded cycle in a graph is a cycle containing an edge of that joins two nonconsecutive vertices of the cycle. In 2010, Gao and Qiao independently proved that a graph of…
Leveraging Graph-RAG and Prompt Engineering to Enhance LLM-Based Automated Requirement Traceability and Compliance Checks
Arsalan Masoudifard, Mohammad Mowlavi Sorond, Moein Madadi +2
Ensuring that Software Requirements Specifications (SRS) align with higher-level organizational or national requirements is vital, particularly in regulated environments such as fi…
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei, Mohammad Sabokrou
Machine learning models often suffer from catastrophic forgetting of previously learned knowledge when learning new classes. Various methods have been proposed to mitigate this iss…
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
Mohammad Akhavan Anvari, Rojina Kashefi, Vahid Reza Khazaie +2
Anomaly detection involves identifying instances within a dataset that deviate from the norm and occur infrequently. Current benchmarks tend to favor methods biased towards low div…
Class-Adaptive Sampling Policy for Efficient Continual Learning
Hossein Rezaei, Mohammad Sabokrou
Continual learning (CL) aims to acquire new knowledge while preserving information from previous experiences without forgetting. Though buffer-based methods (i.e., retaining sample…
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives
Rojina Kashefi, Leili Barekatain, Mohammad Sabokrou +1
Transformers have had a significant impact on natural language processing and have recently demonstrated their potential in computer vision. They have shown promising results over…
Stealthy Backdoor Attack via Confidence-driven Sampling
Pengfei He, Yue Xing, Han Xu +6
Backdoor attacks aim to surreptitiously insert malicious triggers into DNN models, granting unauthorized control during testing scenarios. Existing methods lack robustness against…