most citedUnsupervised Cross-Modal Distillation for Thermal Infrared Tracking

31 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 4 cited

An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection

Ganglai Wang, Peng Zhang, Lei Xie +3

DeepFake based digital facial forgery is threatening the public media security, especially when lip manipulation has been used in talking face generation, the difficulty of fake vi…

cs.CV2022★ 9 cited

Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild

Ganglai Wang, Peng Zhang, Lei Xie +2

Talking face generation with great practical significance has attracted more attention in recent audio-visual studies. How to achieve accurate lip synchronization is a long-standin…

cs.SD2022★ 2 cited

Audio-visual speech separation based on joint feature representation with cross-modal attention

Junwen Xiong, Peng Zhang, Lei Xie +3

Multi-modal based speech separation has exhibited a specific advantage on isolating the target character in multi-talker noisy environments. Unfortunately, most of current separati…

cs.SD2022

Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement

Junwen Xiong, Yu Zhou, Peng Zhang +3

Active speaker detection and speech enhancement have become two increasingly attractive topics in audio-visual scenario understanding. According to their respective characteristics…

cs.CV2021★ 31 cited

Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking

Jingxian Sun, Lichao Zhang, Yufei Zha +4

The target representation learned by convolutional neural networks plays an important role in Thermal Infrared (TIR) tracking. Currently, most of the top-performing TIR trackers ar…