323 citations · 604 across the 11 of their papers we have counts for
11 papers
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
Kaixin Cai, Pengzhen Ren, Yi Zhu +5
Recently, semantic segmentation models trained with image-level text supervision have shown promising results in challenging open-world scenarios. However, these models still face…
Surfer: Progressive Reasoning with World Models for Robotic Manipulation
Pengzhen Ren, Kaidong Zhang, Hetao Zheng +5
Considering how to make the model accurately understand and follow natural language instructions and perform actions consistent with world knowledge is a key challenge in robot man…
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining
Yanxin Long, Youpeng Wen, Jianhua Han +5
Benefiting from large-scale vision-language pre-training on image-text pairs, open-world detection methods have shown superior generalization ability under the zero-shot or few-sho…
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
Pengzhen Ren, Changlin Li, Hang Xu +5
Recently, great success has been made in learning visual representations from text supervision, facilitating the emergence of text-supervised semantic segmentation. However, existi…
Beyond Fixation: Dynamic Window Visual Transformer
Pengzhen Ren, Changlin Li, Guangrun Wang +4
Recently, a surge of interest in visual transformers is to reduce the computational cost by limiting the calculation of self-attention to a local window. Most current work uses a f…
Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions
Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh +3
Person re-identification (Re-ID) has been a significant research topic in the past decade due to its real-world applications and research significance. While supervised person Re-I…
Person Search Challenges and Solutions: A Survey
Xiangtan Lin, Pengzhen Ren, Yun Xiao +2
Person search has drawn increasing attention due to its real-world applications and research significance. Person search aims to find a probe person in a gallery of scene images wi…
A Comprehensive Survey of Scene Graphs: Generation and Application
Xiaojun Chang, Pengzhen Ren, Pengfei Xu +3
Scene graph is a structured representation of a scene that can clearly express the objects, attributes, and relationships between objects in the scene. As computer vision technolog…
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition
Pengzhen Ren, Gang Xiao, Xiaojun Chang +3
In the field of complex action recognition in videos, the quality of the designed model plays a crucial role in the final performance. However, artificially designed network struct…
A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang +5
Active learning (AL) attempts to maximize the performance gain of the model by marking the fewest samples. Deep learning (DL) is greedy for data and requires a large amount of data…
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren, Yun Xiao, Xiaojun Chang +4
Deep learning has made breakthroughs and substantial in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is…