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Dongliang Kou

6 accepted papers

2026

UniMGS: Unifying Mesh and 3D Gaussian Splatting with Single-Pass Rasterization and Proxy-Based Deformation

AAAI 2026technical

Joint rendering and deformation of mesh and 3D Gaussian Splatting (3DGS) have significant value as both representations offer complementary advantages for graphics applications. However, due to differences in representation and rendering pipelines, existing studies render meshes and 3DGS separately,

Cited by 0SourcePDFScholar
2025

MAFD: Fine-Grained Motion Style Transfer with Adaptive Signal Fusion

ICASSP 2025accepted

Motion style transfer allows for the swift switching of different styles within the same motion for virtual avatars, offering significant efficiency gains and enhanced motion diversity compared to traditional motion capture methods. However, many existing methods struggle with controlling fine detai…

Cited by 0SourceScholar
2025

SAF: Local Shape-aware Face-based Garment Collision Handling via Neural SDFs

ICASSP 2025accepted

Learning-based garment prediction presents an appealing alternative to physics-based methods owing to its high efficiency. However, the predicted garments can exhibit noticeable penetrations into the body. Many collision-handling methods operate in the point domain, which has an inherent limitation…

Cited by 0SourceScholar
2024

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities

CVPR 2024poster

Multimodal sentiment analysis (MSA) aims to understand human sentiment through multimodal data. Most MSA efforts are based on the assumption of modality completeness. However in real-world applications some practical factors cause uncertain modality missingness which drastically degrades the model's…

Cited by 15SourcePDFScholar
2024

HybridOcc: NeRF Enhanced Transformer-Based Multi-Camera 3D Occupancy Prediction

RA-L 2024

Vision-based 3D semantic scene completion (SSC) describes autonomous driving scenes through 3D volume representations. However, the occlusion of invisible voxels by scene surfaces poses challenges to current SSC methods in hallucinating refined 3D geometry. This letter proposes HybridOcc, a hybrid 3

Cited by 17SourceScholar
2024

Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning

NeurIPS 2024poster

Multimodal Sentiment Analysis (MSA) is an important research area that aims to understand and recognize human sentiment through multiple modalities. The complementary information provided by multimodal fusion promotes better sentiment analysis compared to utilizing only a single modality. Neverthele…

Cited by 1SourcePDFScholar