4 citations · 13 across the 9 of their papers we have counts for
9 papers
Simulated Annealing in Early Layers Leads to Better Generalization
Amirmohammad Sarfi, Zahra Karimpour, Muawiz Chaudhary +4
Recently, a number of iterative learning methods have been introduced to improve generalization. These typically rely on training for longer periods of time in exchange for improve…
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi, MohammadReza Davari, Sudhir Mudur +2
In Continual learning (CL) balancing effective adaptation while combating catastrophic forgetting is a central challenge. Many of the recent best-performing methods utilize various…
Differentiable Subdivision Surface Fitting
Tianhao Xie
In this paper, we present a powerful differentiable surface fitting technique to derive a compact surface representation for a given dense point cloud or mesh, with application in…
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
MohammadReza Davari, Nader Asadi, Sudhir Mudur +2
Continual Learning research typically focuses on tackling the phenomenon of catastrophic forgetting in neural networks. Catastrophic forgetting is associated with an abrupt loss of…
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts
Nader Asadi, Sudhir Mudur, Eugene Belilovsky
Recent work studies the supervised online continual learning setting where a learner receives a stream of data whose class distribution changes over time. Distinct from other conti…
Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy
Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur
Personalized recommendations are popular in these days of Internet driven activities, specifically shopping. Recommendation methods can be grouped into three major categories, cont…
Toward Multimodal Interaction in Scalable Visual Digital Evidence Visualization Using Computer Vision Techniques and ISS
Serguei A. Mokhov, Miao Song, Jashanjot Singh +3
Visualization requirements in Forensic Lucid have to do with different levels of case knowledge abstraction, representation, aggregation, as well as the operational aspects as the…
CAMREP- Concordia Action and Motion Repository
Kaustubha Mendhurwar, Qing Gu, Vladimir de la Cruz +2
Action recognition, motion classification, gait analysis and synthesis are fundamental problems in a number of fields such as computer graphics, bio-mechanics and human computer in…
Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas
Yuanlie He, Sudhir Mudur, Charalambos Poullis
Object classification is one of the many holy grails in computer vision and as such has resulted in a very large number of algorithms being proposed already. Specifically in recent…