most citedVision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

3 citations · 3 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2024

Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay

Jinmei Liu, Wenbin Li, Xiangyu Yue +3

We study continual offline reinforcement learning, a practical paradigm that facilitates forward transfer and mitigates catastrophic forgetting to tackle sequential offline tasks.…

cs.CV20231 cited

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer

Hang Guo, Tao Dai, Mingyan Zhu +4

Recognizing characters from low-resolution (LR) text images poses a significant challenge due to the information deficiency as well as the noise and blur in low-quality images. Cur…

physics.acc-ph2023

Proposal and design of 81.25 MHz heavy ion drift tube linacs for BISOL

Meiyun Han, Tianhao Wei, Ying Xia +4

Based on the design requirements proposed by the Beijing On-Line Isotope Separation project (BISOL), four Sn-based,81.25MHz continuous wave (CW) drift tube linac (DTL) cavi…

cs.CV20233 cited

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

Taolin Zhang, Sunan He, Dai Tao +3

In recent years, vision language pre-training frameworks have made significant progress in natural language processing and computer vision, achieving remarkable performance improve…

cs.CV2023

Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers

Mingqing Wang, Jiawei Li, Zhenyang Li +4

Unsupervised anomaly detection (UAD) has been widely implemented in industrial and medical applications, which reduces the cost of manual annotation and improves efficiency in dise…

eess.IV2023

Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation

Fang Hu, Xuexue Sun, Ke Qing +3

Although deep learning (DL) shows powerful potential in cell segmentation tasks, it suffers from poor generalization as DL-based methods originally simplified cell segmentation in…