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20152023
most citedUncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

321 citations · 1.8k across the 66 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 159 cited

Perceptual Quality Assessment of Omnidirectional Images

Huiyu Duan, Guangtao Zhai, Xiongkuo Min +3

Omnidirectional images and videos can provide immersive experience of real-world scenes in Virtual Reality (VR) environment. We present a perceptual omnidirectional image quality a…

cs.IR2022★ 26 cited

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

Chao Chen, Dongsheng Li, Junchi Yan +1

Capturing the dynamics in user preference is crucial to better predict user future behaviors because user preferences often drift over time. Many existing recommendation algorithms…

cs.IR2022★ 3 cited

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation

Chao Chen, Haoyu Geng, Nianzu Yang +4

User interests are usually dynamic in the real world, which poses both theoretical and practical challenges for learning accurate preferences from rich behavior data. Among existin…

cs.CV2022★ 3 cited

Facial Geometric Detail Recovery via Implicit Representation

Xingyu Ren, Alexandros Lattas, Baris Gecer +4

Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed. To address this problem, many approaches fit smooth geometries thr…

cs.CV2022★ 2 cited

DialogueNeRF: Towards Realistic Avatar Face-to-Face Conversation Video Generation

Yichao Yan, Zanwei Zhou, Zi Wang +2

Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, textual and vocal conversation generation…

cs.CV2022★ 43 cited

DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering

Shunyu Yao, RuiZhe Zhong, Yichao Yan +2

While recent advances in deep neural networks have made it possible to render high-quality images, generating photo-realistic and personalized talking head remains challenging. Wit…