Properties on n-dimensional convolution for image deconvolution. - Yizhi Song; Cheng Xu; Daoxin Ding; Hang Zhou; Tingwei Quan; Shiwei Li (CoRR, 2017)

A three-stage real-time detector for traffic signs in large panoramas. - Yizhi Song; Ruochen Fan; Sharon X. Huang; Zhe Zhu; Ruofeng Tong 001 (Comput. Vis. Media, 2019)

ObjectStitch: Generative Object Compositing. - Yizhi Song; Zhifei Zhang; Zhe Lin 001; Scott Cohen; Brian L. Price; Jianming Zhang 001; Soo Ye Kim; Daniel G. Aliaga (CoRR, 2022)

ObjectStitch: Object Compositing with Diffusion Model. - Yizhi Song; Zhifei Zhang; Zhe Lin 001; Scott Cohen; Brian L. Price; Jianming Zhang 001; Soo Ye Kim; Daniel G. Aliaga (CVPR, 2023)

IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation. - Yizhi Song; Zhifei Zhang; Zhe Lin 001; Scott Cohen; Brian L. Price; Jianming Zhang 001; Soo Ye Kim; He Zhang 004; Wei Xiong 008; Daniel G. Aliaga (CVPR, 2024)

Thinking Outside the BBox: Unconstrained Generative Object Compositing. - Gemma Canet Tarres; Zhe Lin 001; Zhifei Zhang; Jianming Zhang 001; Yizhi Song; Dan Ruta; Andrew Gilbert; John P. Collomosse; Soo Ye Kim (ECCV (62), 2024)

Nested and Interleaved Ticketing for Multiple Travelers. - Dongyu Lv; Yizhi Song; Chao Xu 002 (IJTCS-FAW, 2024)

Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation. - Liu He; Yizhi Song; Hejun Huang; Daniel G. Aliaga; Xin Zhou (CoRR, 2024)

GroundingBooth: Grounding Text-to-Image Customization. - Zhexiao Xiong; Wei Xiong 008; Jing Shi; He Zhang 004; Yizhi Song; Nathan Jacobs (CoRR, 2024)

Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment. - Yizhi Song; Liu He; Zhifei Zhang; Soo Ye Kim; He Zhang 004; Wei Xiong 008; Zhe Lin 001; Brian L. Price; Scott Cohen; Jianming Zhang 001; Daniel G. Aliaga (ICLR, 2025)

TrCL-AGS: A Universal Sequential Triple-Stage Contrastive Learning Framework for Bacterial Detection With Across-Growth-Stage Information. - Lesong Zheng; Yunbo Guo; Ying Liang; Lirong Wang; Siyu Meng; Yizhi Song; Yuguo Tang (IEEE Internet Things J., 2025)

Generative AI for Cel-Animation: A Survey. - Yunlong Tang 002; Junjia Guo; Pinxin Liu; Zhiyuan Wang; Hang Hua; Jia-Xing Zhong; Yunzhong Xiao; Chao Huang 008; Luchuan Song; Susan Liang; Yizhi Song; Liu He; et al. (CoRR, 2025)

Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting. - Yunlong Tang 002; Jing Bi 002; Chao Huang 008; Susan Liang; Daiki Shimada; Hang Hua; Yunzhong Xiao; Yizhi Song; Pinxin Liu; Mingqian Feng; Junjia Guo; Zhuo Liu; et al. (CoRR, 2025)

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models. - Hang Hua; Ziyun Zeng; Yizhi Song; Yunlong Tang 002; Liu He; Daniel G. Aliaga; Wei Xiong 008; Jiebo Luo 001 (CoRR, 2025)

Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation. - Liu He; Xiao Zeng; Yizhi Song; Albert Y. C. Chen 001; Lu Xia; Shashwat Verma; Sankalp Dayal; Min Sun 001; Cheng-Hao Kuo; Daniel G. Aliaga (CoRR, 2025)