32 citations · 47 across the 20 of their papers we have counts for
5 papers · 1 filter
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition
Shuvendu Roy, Ali Etemad
Although there has been much progress in the area of facial expression recognition (FER), most existing methods suffer when presented with images that have been captured from viewi…
Active Learning with Contrastive Pre-training for Facial Expression Recognition
Shuvendu Roy, Ali Etemad
Deep learning has played a significant role in the success of facial expression recognition (FER), thanks to large models and vast amounts of labelled data. However, obtaining labe…
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition using In-Distribution, Out-of-Distribution, and Unconstrained Data
Shuvendu Roy, Ali Etemad
Deep learning-based methods have been the key driving force behind much of the recent success of facial expression recognition (FER) systems. However, the need for large amounts of…
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Shuvendu Roy, Ali Etemad
We propose UnMixMatch, a semi-supervised learning framework which can learn effective representations from unconstrained unlabelled data in order to scale up performance. Most exis…
Consistency-guided Prompt Learning for Vision-Language Models
Shuvendu Roy, Ali Etemad
We propose Consistency-guided Prompt learning (CoPrompt), a new fine-tuning method for vision-language models. Our approach improves the generalization of large foundation models w…