Yuren Cong

According to our database, Yuren Cong authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Attribute-Centric Compositional Text-to-Image Generation.

Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang

Int. J. Comput. Vis., July, 2025

FDSG: Forecasting Dynamic Scene Graphs.

Yi Yang, Yuren Cong, Hao Cheng, Bodo Rosenhahn, Michael Ying Yang

CoRR, June, 2025

PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding.

Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn

IEEE Access, 2025

Learning Flow Fields in Attention for Controllable Person Image Generation.

Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Pérez-Rúa, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Holistic scene understanding through image and video scene graphs.

Yuren Cong

PhD thesis, 2024

Indoor Scene Change Understanding (SCU): Segment, Describe, and Revert Any Change.

Mariia Khan, Yue Qiu, Yuren Cong, Bodo Rosenhahn, David Suter, Jumana Abu-Khalaf

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Worldafford: Affordance Grounding Based on Natural Language Instructions.

Changmao Chen, Yuren Cong, Zhen Kan

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing.

Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Pérez-Rúa, Bodo Rosenhahn, Tao Xiang, Sen He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Segment Any Object Model (SAOM): Real-To-Simulation Fine-Tuning Strategy For Multi-Class Multi-Instance Segmentation.

Mariia Khan, Yue Qiu, Yuren Cong, Bodo Rosenhahn, Jumana Abu-Khalaf, David Suter

Proceedings of the IEEE International Conference on Image Processing, 2024

GenTron: Diffusion Transformers for Image and Video Generation.

Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

RelTR: Relation Transformer for Scene Graph Generation.

Yuren Cong, Michael Ying Yang, Bodo Rosenhahn

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation.

Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa

CoRR, 2023

Learning Similarity between Scene Graphs and Images with Transformers.

Yuren Cong, Wentong Liao, Bodo Rosenhahn, Michael Ying Yang

CoRR, 2023

SSGVS: Semantic Scene Graph-to-Video Synthesis.

Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Spatial-Temporal Transformer for Dynamic Scene Graph Generation.

Yuren Cong, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

NODIS: Neural Ordinary Differential Scene Understanding.

Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn

Proceedings of the Computer Vision - ECCV 2020, 2020