activity
20162023
most citedA Riemannian Network for SPD Matrix Learning

119 citations · 195 across the 9 of their papers we have counts for

collaborators

17 papers

eess.SY2023★ 4 cited

Optimal battery thermal management for electric vehicles with battery degradation minimization

Yue Wu, Zhiwu Huang, Dongjun Li +4

The control of a battery thermal management system (BTMS) is essential for the thermal safety, energy efficiency, and durability of electric vehicles (EVs) in hot weather. To addre…

cs.CV2023★ 1 cited

Benchmarking Deepart Detection

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

Deepfake technologies have been blurring the boundaries between the real and unreal, likely resulting in malicious events. By leveraging newly emerged deepfake technologies, deepfa…

cs.CV2022★ 60 cited

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

State-of-the-art deep neural networks are still struggling to address the catastrophic forgetting problem in continual learning. In this paper, we propose one simple paradigm (name…

cs.CV2022★ 2 cited

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

Chuqiao Li, Zhiwu Huang, Danda Pani Paudel +4

There have been emerging a number of benchmarks and techniques for the detection of deepfakes. However, very few works study the detection of incrementally appearing deepfakes in t…

cs.LG2021★ 1 cited

Generative Flows with Invertible Attentions

Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar +2

Flow-based generative models have shown an excellent ability to explicitly learn the probability density function of data via a sequence of invertible transformations. Yet, learnin…

eess.IV2020★ 1 cited

An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

Dario Fuoli, Zhiwu Huang, Danda Pani Paudel +2

Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty of achieving consistency in the…