activity
20212026
most citedMasked Autoencoders as Image Processors

5 citations · 16 across the 13 of their papers we have counts for

collaborators

13 papers

eess.IV2026★ 1 cited

Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model

Yanwei Jiang, Wei Sun, Yingjie Zhou +8

Surveillance facial images are often captured under unconstrained conditions, resulting in severe quality degradation due to factors such as low resolution, motion blur, occlusion,…

cs.CV2026

Constrained Dynamic Gaussian Splatting

Zihan Zheng, Zhenlong Wu, Zhenglong Wu +6

While Dynamic Gaussian Splatting enables high-fidelity 4D reconstruction, its deployment is severely hindered by a fundamental dilemma: unconstrained densification leads to excessi…

eess.IV2024★ 4 cited

UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content

Yuqin Cao, Xiongkuo Min, Yixuan Gao +3

As multimedia data flourishes on the Internet, quality assessment (QA) of multimedia data becomes paramount for digital media applications. Since multimedia data includes multiple…

cs.MM2024

MVBIND: Self-Supervised Music Recommendation For Videos Via Embedding Space Binding

Jiajie Teng, Huiyu Duan, Yucheng Zhu +2

Recent years have witnessed the rapid development of short videos, which usually contain both visual and audio modalities. Background music is important to the short videos, which…

cs.CV2023

Audio-visual Saliency for Omnidirectional Videos

Yuxin Zhu, Xilei Zhu, Huiyu Duan +6

Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV renderi…

cs.CV2023★ 3 cited

Simple Baselines for Projection-based Full-reference and No-reference Point Cloud Quality Assessment

Zicheng Zhang, Yingjie Zhou, Wei Sun +2

Point clouds are widely used in 3D content representation and have various applications in multimedia. However, compression and simplification processes inevitably result in the lo…

cs.CV2023★ 1 cited

Joint Gaze-Location and Gaze-Object Detection

Danyang Tu, Wei Shen, Wei Sun +2

This paper proposes an efficient and effective method for joint gaze location detection (GL-D) and gaze object detection (GO-D), \emph{i.e.}, gaze following detection. Current appr…

cs.CV2023

Agglomerative Transformer for Human-Object Interaction Detection

Danyang Tu, Wei Sun, Guangtao Zhai +1

We propose an agglomerative Transformer (AGER) that enables Transformer-based human-object interaction (HOI) detectors to flexibly exploit extra instance-level cues in a single-sta…

cs.CV2023★ 1 cited

GANHead: Towards Generative Animatable Neural Head Avatars

Sijing Wu, Yichao Yan, Yunhao Li +5

To bring digital avatars into people's lives, it is highly demanded to efficiently generate complete, realistic, and animatable head avatars. This task is challenging, and it is di…

cs.CV2023★ 5 cited

Masked Autoencoders as Image Processors

Huiyu Duan, Wei Shen, Xiongkuo Min +4

Transformers have shown significant effectiveness for various vision tasks including both high-level vision and low-level vision. Recently, masked autoencoders (MAE) for feature pr…

cs.CV2022

Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening

Yunhao Li, Zhenbo Yu, Yucheng Zhu +3

Human motion synthesis is a long-standing problem with various applications in digital twins and the Metaverse. However, modern deep learning based motion synthesis approaches bare…

cs.CV2022★ 1 cited

Saliency in Augmented Reality

Huiyu Duan, Wei Shen, Xiongkuo Min +3

With the rapid development of multimedia technology, Augmented Reality (AR) has become a promising next-generation mobile platform. The primary theory underlying AR is human visual…

eess.IV2021

Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution

Kaiwei Zhang

Hyperspectral image (HSI) super-resolution without additional auxiliary image remains a constant challenge due to its high-dimensional spectral patterns, where learning an effectiv…