187 citations · 424 across the 14 of their papers we have counts for
14 papers
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory
Ali Modarressi, Abdullatif Köksal, Ayyoob Imani +2
While current large language models (LLMs) perform well on many knowledge-related tasks, they are limited by relying on their parameters as an implicit storage mechanism. As a resu…
RET-LLM: Towards a General Read-Write Memory for Large Language Models
Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz +1
Large language models (LLMs) have significantly advanced the field of natural language processing (NLP) through their extensive parameters and comprehensive data utilization. Howev…
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari +4
Denoising diffusion models, a class of generative models, have garnered immense interest lately in various deep-learning problems. A diffusion probabilistic model defines a forward…
TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction
Saber Pourheydari, Emad Bahrami, Mohsen Fayyaz +3
While recurrent neural networks (RNNs) demonstrate outstanding capabilities for future video frame prediction, they model dynamics in a discrete time space, i.e., they predict the…
Long Short View Feature Decomposition via Contrastive Video Representation Learning
Nadine Behrmann, Mohsen Fayyaz, Juergen Gall +1
Self-supervised video representation methods typically focus on the representation of temporal attributes in videos. However, the role of stationary versus non-stationary attribute…
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
Mohsen Fayyaz, Juergen Gall
Temporal action segmentation is a topic of increasing interest, however, annotating each frame in a video is cumbersome and costly. Weakly supervised approaches therefore aim at le…
Online Signature Verification using Deep Representation: A new Descriptor
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou +1
This paper presents an accurate method for verifying online signatures. The main difficulty of signature verification come from: (1) Lacking enough training samples (2) The methods…
Semantic Video Segmentation: A Review on Recent Approaches
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou +1
This paper gives an overview on semantic segmentation consists of an explanation of this field, it's status and relation with other vision fundamental tasks, different datasets and…
Spatio-Temporal Channel Correlation Networks for Action Classification
Ali Diba, Mohsen Fayyaz, Vivek Sharma +4
The work in this paper is driven by the question if spatio-temporal correlations are enough for 3D convolutional neural networks (CNN)? Most of the traditional 3D networks use loca…
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz +2
Major winning Convolutional Neural Networks (CNNs), such as VGGNet, ResNet, DenseNet, \etc, include tens to hundreds of millions of parameters, which impose considerable computatio…
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
Ali Diba, Mohsen Fayyaz, Vivek Sharma +4
The work in this paper is driven by the question how to exploit the temporal cues available in videos for their accurate classification, and for human action recognition in particu…
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou +3
This paper presents a novel method to involve both spatial and temporal features for semantic video segmentation. Current work on convolutional neural networks(CNNs) has shown that…
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz +1
Major winning Convolutional Neural Networks (CNNs), such as AlexNet, VGGNet, ResNet, GoogleNet, include tens to hundreds of millions of parameters, which impose considerable comput…
Feature Representation for Online Signature Verification
Mohsen Fayyaz, Mohammad Hajizadeh_Saffar, Mohammad Sabokrou +1
Biometrics systems have been used in a wide range of applications and have improved people authentication. Signature verification is one of the most common biometric methods with t…