activity
20162023
most citedDeep Reinforcement Learning for Visual Object Tracking in Videos

101 citations · 489 across the 33 of their papers we have counts for

collaborators

34 papers

cs.SD2023★ 1 cited

DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input

Nicolas Jonason, Xin Wang, Erica Cooper +3

We explore the use of neural synthesis for acoustic guitar from string-wise MIDI input. We propose four different systems and compare them with both objective metrics and subjectiv…

cs.SD2023

SynVox2: Towards a privacy-friendly VoxCeleb2 dataset

Xiaoxiao Miao, Xin Wang, Erica Cooper +5

The success of deep learning in speaker recognition relies heavily on the use of large datasets. However, the data-hungry nature of deep learning methods has already being question…

cond-mat.mtrl-sci2023

Tunable Magnetism and Valleys in VSiZ monolayers

Xiaoyu Wang, Li Liang, Huiqian Wang +1

Two-dimensional magnetism and valleys have recently emerged as two significant research areas, with intriguing properties and practical uses in advanced information technology. Con…

cond-mat.mtrl-sci2023

Magnetically and electrically controllable valley splittings in MXene monolayers

Huiqian Wang, Li Liang, Xiaohui Wang +2

The modulation of the valley structure in two-dimensional valley materials is vital in the field of valleytronics. The multiferroicity provides possibility for multiple modulations…

cs.CL2023★ 1 cited

T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation

Jialu Wang, Xinyue Gabby Liu, Zonglin Di +2

Warning: This paper contains several contents that may be toxic, harmful, or offensive. In the last few years, text-to-image generative models have gained remarkable success in gen…

cs.LG2023★ 1 cited

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks

Fan Dong, Ali Abbasi, Henry Leung +3

Federated learning offers a promising approach under the constraints of networking and data privacy constraints in aerial and space networks (ASNs), utilizing large-scale private e…