Dave Zhenyu Chen

According to our database, Dave Zhenyu Chen authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors.

Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner

CoRR, 2023

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments.

Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll

Proceedings of the International Joint Conference on Neural Networks, 2023

Text2Tex: Text-driven Texture Synthesis via Diffusion Models.

Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding.

Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generating Context-Aware Natural Answers for Questions in 3D Scenes.

Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

D³Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding.

Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

D3Net: A Speaker-Listener Architecture for Semi-supervised Dense Captioning and Visual Grounding in RGB-D Scans.

Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang

CoRR, 2021

Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans.

Dave Zhenyu Chen, Ali Gholami, Matthias Nießner, Angel X. Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

ScanRefer: 3D Object Localization in RGB-D Scans Using Natural Language.

Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner

Proceedings of the Computer Vision - ECCV 2020, 2020