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20212023
most citedNoise-Resistant Multimodal Transformer for Emotion Recognition

5 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI20232 cited

A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem

Zhang-Hua Fu, Sipeng Sun, Jintong Ren +6

For prohibitively large-scale Travelling Salesman Problems (TSPs), existing algorithms face big challenges in terms of both computational efficiency and solution quality. To addres…

cs.CV2023

DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation

Yipeng Leng, Qiangjuan Huang, Zhiyuan Wang +2

Diffusion probabilistic models (DPMs) have shown remarkable results on various image synthesis tasks such as text-to-image generation and image inpainting. However, compared to oth…

cs.MM20235 cited

Noise-Resistant Multimodal Transformer for Emotion Recognition

Yuanyuan Liu, Haoyu Zhang, Yibing Zhan +4

Multimodal emotion recognition identifies human emotions from various data modalities like video, text, and audio. However, we found that this task can be easily affected by noisy…

cs.CV2022

Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data

Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2

The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using…

cs.MM20224 cited

HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding

Mengze Li, Tianbao Wang, Haoyu Zhang +6

Video Object Grounding (VOG) is the problem of associating spatial object regions in the video to a descriptive natural language query. This is a challenging vision-language task t…

cs.CV20214 cited

Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors

Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2

Enabling highly secure applications (such as border crossing) with face recognition requires extensive biometric performance tests through large scale data. However, using real fac…