15 citations · 21 across the 12 of their papers we have counts for
11 papers · 1 filter
Plain-Det: A Plain Multi-Dataset Object Detector
Cheng Shi, Yuchen Zhu, Sibei Yang
Recent advancements in large-scale foundational models have sparked widespread interest in training highly proficient large vision models. A common consensus revolves around the ne…
Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation
Qiyuan Dai, Sibei Yang
Referring image segmentation (RIS) aims to precisely segment referents in images through corresponding natural language expressions, yet relying on cost-intensive mask annotations.…
The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models
Cheng Shi, Sibei Yang
Foundation models, pre-trained on a large amount of data have demonstrated impressive zero-shot capabilities in various downstream tasks. However, in object detection and instance…
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Ge Zheng, Bin Yang, Jiajin Tang +2
A long-standing goal of AI systems is to perform complex multimodal reasoning like humans. Recently, large language models (LLMs) have made remarkable strides in such multi-step re…
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models
Cheng Shi, Sibei Yang
Prompt engineering is a powerful tool used to enhance the performance of pre-trained models on downstream tasks. For example, providing the prompt "Let's think step by step" improv…
Temporal Collection and Distribution for Referring Video Object Segmentation
Jiajin Tang, Ge Zheng, Sibei Yang
Referring video object segmentation aims to segment a referent throughout a video sequence according to a natural language expression. It requires aligning the natural language exp…