Sicheng Mo

According to our database, Sicheng Mo authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Physics to the Rescue: Deep Non-Line-of-Sight Reconstruction for High-Speed Imaging.

Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

Dreamland: Controllable World Creation with Simulator and Generative Models.

Sicheng Mo, Ziyang Leng, Leon Liu, Weizhen Wang, Honglin He, Bolei Zhou

CoRR, June, 2025

X-Fusion: Introducing New Modality to Frozen Large Language Models.

Sicheng Mo, Thao Nguyen, Xun Huang, Siddharth Srinivasan Iyer, Yijun Li, Yuchen Liu, Abhishek Tandon, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li

CoRR, April, 2025

2024

SimGen: Simulator-conditioned Driving Scene Generation.

Yunsong Zhou, Michael Simon, Zhenghao Mark Peng, Sicheng Mo, Hongzi Zhu, Minyi Guo, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance.

Kuan Heng Lin, Sicheng Mo, Ben Klingher, Fangzhou Mu, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SnAG: Scalable and Accurate Video Grounding.

Fangzhou Mu, Sicheng Mo, Yin Li

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

FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition.

Sicheng Mo, Fangzhou Mu, Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, Bolei Zhou

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

2022

Where a Strong Backbone Meets Strong Features - ActionFormer for Ego4D Moment Queries Challenge.

Fangzhou Mu, Sicheng Mo, Gillian Wang, Yin Li

CoRR, 2022

A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge.

Sicheng Mo, Fangzhou Mu, Yin Li

CoRR, 2022