Fangzhou Mu

According to our database, Fangzhou Mu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Towards 3D Vision with Low-Cost Single-Photon Cameras.

Fangzhou Mu, Carter Sifferman, Sacha Jungerman, Yiquan Li, Mark Han, Michael Gleicher, Mohit Gupta, Yin Li

CoRR, 2024

Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning.

Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang

CoRR, 2024

2023

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

CoRR, 2023

Towards 4D Human Video Stylization.

Tiantian Wang, Xinxin Zuo, Fangzhou Mu, Jian Wang, Ming-Hsuan Yang

CoRR, 2023

NMS Threshold matters for Ego4D Moment Queries - 2nd place solution to the Ego4D Moment Queries Challenge 2023.

Lin Sui, Fangzhou Mu, Yin Li

CoRR, 2023

SimHaze: game engine simulated data for real-world dehazing.

Zhengyang Lou, Huan Xu, Fangzhou Mu, Yanli Liu, Xiaoyu Zhang, Liang Shang, Jiang Li, Bochen Guan, Yin Li, Yu Hen Hu

CoRR, 2023

Learned Compressive Representations for Single-Photon 3D Imaging.

Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Yin Li, Mohit Gupta, Andreas Velten

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

GLIGEN: Open-Set Grounded Text-to-Image Generation.

Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee

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

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

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

CoRR, 2022

Smartadapt: Multi-branch Object Detection Framework for Videos on Mobiles.

Ran Xu, Fangzhou Mu, Jayoung Lee, Preeti Mukherjee, Somali Chaterji, Saurabh Bagchi, Yin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image.

Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Gradients as Features for Deep Representation Learning.

Fangzhou Mu, Yingyu Liang, Yin Li

Proceedings of the 8th International Conference on Learning Representations, 2020