28 citations · 89 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
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…
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
Mohammad Akbari, Jie Liang, Jingning Han
Deep learning has revolutionized many computer vision fields in the last few years, including learning-based image compression. In this paper, we propose a deep semantic segmentati…