Liang Peng

Liang Peng (彭亮)

I am a full-time algorithm engineer at FABU, and I was an intern at FABU in 2019-2023. I received Ph.D.degree in State Key Lab of CAD&CG, Zhejiang University in 2023, supervised by Prof. Deng Cai and Prof. Xiaofei He. I got my bachelor's degree from measurement and control technology and instruments at Hefei University of Technology in 2018.

I am interested in generative models (text2img, text2video, video2video) and 3D scene understanding.

Email / Github / Google scholar

Publications

	Searching Priors Makes Text-to-Video Synthesis Better Haoran Cheng, Liang Peng, Linxuan Xia, Yuepeng Hu, Hengjia Li, Qinglin Lu, Xiaofei He, Boxi Wu arXiv, 2024 [Paper], [Project]
	LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu arXiv, 2024 [Paper], [Code]
	SmoothVideo: Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning Liang Peng, Haoran Cheng, Zheng Yang, Ruisi Zhao, Linxuan Xia, Chaotian Song, Qinglin Lu, Wei Liu, Boxi Wu arXiv, 2023 [Paper], [Code]
	Learning Occupancy for Monocular 3D Object Detection Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai CVPR, 2024 [Paper], [Code]
	Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai CVPR, 2024 [Paper],
	Local Conditional Controlling for Text-to-Image Diffusion Models Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Wei Zhao, qinglin lu, Wei Liu, Boxi Wu arXiv, 2023 [Paper], [Code(Coming soon)]
	Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai AAAI, 2024 [Paper], [Code]
	Semi-Supervised 3D Object Detection with PatchTeacher and PillarMix Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang AAAI, 2024
	MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai ICCV, 2023 [Paper], [Code]
	DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, and Deng Cai ECCV, 2022 [Paper], [Code]
	Lidar Point Cloud Guided Monocular 3D Object Detection Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, and Deng Cai ECCV, 2022 [Paper], [Code]
	Domain Reconstruction and Resampling for Robust Salient Object Detection Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, and Deng Cai ACM MM, 2022 [Paper]
	Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, and Deng Cai CVPR (Oral), 2022 [Paper], [Code]
	WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, and Deng Cai. ICLR, 2022 [Paper], [Code]

Thanks Jon Barron for this great template.