activity
20182022
most citedUniCon: Unified Context Network for Robust Active Speaker Detection

39 citations · 63 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2022

UniCon+: ICTCAS-UCAS Submission to the AVA-ActiveSpeaker Task at ActivityNet Challenge 2022

Yuanhang Zhang, Susan Liang, Shuang Yang +1

This report presents a brief description of our winning solution to the AVA Active Speaker Detection (ASD) task at ActivityNet Challenge 2022. Our underlying model UniCon+ continue…

cs.CV2021★ 39 cited

UniCon: Unified Context Network for Robust Active Speaker Detection

Yuanhang Zhang, Susan Liang, Shuang Yang +4

We introduce a new efficient framework, the Unified Context Network (UniCon), for robust active speaker detection (ASD). Traditional methods for ASD usually operate on each candida…

cs.CV2020★ 4 cited

Deformation Flow Based Two-Stream Network for Lip Reading

Jingyun Xiao, Shuang Yang, Yuanhang Zhang +2

Lip reading is the task of recognizing the speech content by analyzing movements in the lip region when people are speaking. Observing on the continuity in adjacent frames in the s…

cs.CV2020★ 6 cited

Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition

Yuanhang Zhang, Shuang Yang, Jingyun Xiao +2

Recent advances in deep learning have heightened interest among researchers in the field of visual speech recognition (VSR). Currently, most existing methods equate VSR with automa…

cs.CV2020★ 6 cited

T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild

Yuan-Hang Zhang, Rulin Huang, Jiabei Zeng +2

This report describes a multi-modal multi-task (T) approach underlying our submission to the valence-arousal estimation track of the Affective Behavior Analysis in-the-wild (A…

cs.SD2019★ 2 cited

Dilated FCN: Listening Longer to Hear Better

Shuyu Gong, Zhewei Wang, Tao Sun +4

Deep neural network solutions have emerged as a new and powerful paradigm for speech enhancement (SE). The capabilities to capture long context and extract multi-scale patterns are…

cs.CV2018★ 2 cited

LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild

Shuang Yang, Yuanhang Zhang, Dalu Feng +6

Large-scale datasets have successively proven their fundamental importance in several research fields, especially for early progress in some emerging topics. In this paper, we focu…

cs.CV2018★ 4 cited

3D Feature Pyramid Attention Module for Robust Visual Speech Recognition

Jingyun Xiao

Visual speech recognition is the task to decode the speech content from a video based on visual information, especially the movements of lips. It is also referenced as lipreading.…