17 citations · 55 across the 12 of their papers we have counts for
12 papers
Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space
Haoyu Wang, Haozhe Wu, Junliang Xing +1
Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse. Howe…
Semantics2Hands: Transferring Hand Motion Semantics between Avatars
Zijie Ye, Jia Jia, Junliang Xing
Human hands, the primary means of non-verbal communication, convey intricate semantics in various scenarios. Due to the high sensitivity of individuals to hand motions, even minor…
Speech-Driven 3D Face Animation with Composite and Regional Facial Movements
Haozhe Wu, Songtao Zhou, Jia Jia +3
Speech-driven 3D face animation poses significant challenges due to the intricacy and variability inherent in human facial movements. This paper emphasizes the importance of consid…
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Xuechao Zou, Kai Li, Junliang Xing +4
Optical satellite images are a critical data source; however, cloud cover often compromises their quality, hindering image applications and analysis. Consequently, effectively remo…
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Shikun Sun, Longhui Wei, Junliang Xing +2
Recent score-based diffusion models (SBDMs) show promising results in unpaired image-to-image translation (I2I). However, existing methods, either energy-based or statistically-bas…
High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark
Ben Chen, Xuechao Zou, Kai Li +3
Lake extraction from remote sensing imagery is a complex challenge due to the varied lake shapes and data noise. Current methods rely on multispectral image datasets, making it cha…
Facilitating Cooperation in Human-Agent Hybrid Populations through Autonomous Agents
Hao Guo, Chen Shen, Shuyue Hu +4
Cooperation is a vital social behavior that plays a crucial role in human prosperity, enabling conflict resolution and averting disastrous outcomes. With the increasing presence of…
Single-stage Multi-human Parsing via Point Sets and Center-based Offsets
Jiaming Chu, Lei Jin, Junliang Xing +1
This work studies the multi-human parsing problem. Existing methods, either following top-down or bottom-up two-stage paradigms, usually involve expensive computational costs. We i…
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery
Xuechao Zou, Kai Li, Junliang Xing +2
Satellite imagery analysis plays a pivotal role in remote sensing; however, information loss due to cloud cover significantly impedes its application. Although existing deep cloud…
MMFace4D: A Large-Scale Multi-Modal 4D Face Dataset for Audio-Driven 3D Face Animation
Haozhe Wu, Jia Jia, Junliang Xing +3
Audio-Driven Face Animation is an eagerly anticipated technique for applications such as VR/AR, games, and movie making. With the rapid development of 3D engines, there is an incre…
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Pengfei Zhang, Cuiling Lan, Wenjun Zeng +3
Skeleton data is of low dimension. However, there is a trend of using very deep and complicated feedforward neural networks to model the skeleton sequence without considering the c…
RefineCap: Concept-Aware Refinement for Image Captioning
Yekun Chai, Shuo Jin, Junliang Xing
Automatically translating images to texts involves image scene understanding and language modeling. In this paper, we propose a novel model, termed RefineCap, that refines the outp…