28 citations · 89 across the 12 of their papers we have counts for
12 papers
ETran: Energy-Based Transferability Estimation
Mohsen Gholami, Mohammad Akbari, Xinglu Wang +2
This paper addresses the problem of ranking pre-trained models for object detection and image classification. Selecting the best pre-trained model by fine-tuning is an expensive an…
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
Building huge and highly capable language models has been a trend in the past years. Despite their great performance, they incur high computational cost. A common solution is to ap…
Deep Learning meets Liveness Detection: Recent Advancements and Challenges
Arian Sabaghi, Marzieh Oghbaie, Kooshan Hashemifard +1
Facial biometrics has been recently received tremendous attention as a convenient replacement for traditional authentication systems. Consequently, detecting malicious attempts has…
EBJR: Energy-Based Joint Reasoning for Adaptive Inference
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
State-of-the-art deep learning models have achieved significant performance levels on various benchmarks. However, the excellent performance comes at a cost of inefficient computat…
Advances and Challenges in Deep Lip Reading
Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard +1
Driven by deep learning techniques and large-scale datasets, recent years have witnessed a paradigm shift in automatic lip reading. While the main thrust of Visual Speech Recogniti…
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
Haisheng Fu, Feng Liang, Jianping Lin +7
Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the latest standard Versat…