Bio

I am a second-year Master stduent at the Soolab in ShanghaiTech University advised by Prof. Sibei Yang. Previously, I obtained my Bachelor's degree from the ShanghaiTech University in 2022. My research interests lie at the computer vision, natural language processing, and the intersection of them. My current research focuses on open-world visual perception and vision foundation model.

Recent News

2 papers are accepted by ECCV2024. (Jul 2024)

I am awarded National Scholarship. (Nov 2023)

Publications

* denotes equal contribution and † corresponding author

Part2Object: Hierarchical Unsupervised 3D Instance Segmentation
ECCV 2024
Cheng Shi*, Yuling Zhang*, Bin Yang, Jiajin Tang, Yuexin Ma† and Sibei Yang†
Plain-DNet: A Plain Multi-Dataset Object Detector
ECCV 2024
Cheng Shi*, Yuchen Zhu* and Sibei Yang†
Zip-Your-CLIP: CLIP Itself is a Good Object-detector
ICLR 2024
Cheng Shi and Sibei Yang†
Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
NeurIPS 2023
Hanzhuo Huang*, Yufan Feng*, Cheng Shi, Lan Xu, Jingyi Yu, and Sibei Yang†
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models
ICCV 2023
Cheng Shi, and Sibei Yang†
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment
ICCV 2023
Cheng Shi, and Sibei Yang†
Contrastive Grouping with Transformer for Referring Image Segmentation
CVPR 2023
Jiajin Tang, Ge Zheng, Cheng Shi, and Sibei Yang†
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
SIGGRAPH 2023
Longwen Zhang*, Qiwei Qiu*, Hongyang Lin*, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang†, Lan Xu†, Jingyi Yu†
Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding
ECCV 2022
Cheng Shi, and Sibei Yang†