31 citations · 85 across the 13 of their papers we have counts for
15 papers
Viewpoint Integration and Registration with Vision Language Foundation Model for Image Change Understanding
Xiaonan Lu, Jianlong Yuan, Ruigang Niu +2
Recently, the development of pre-trained vision language foundation models (VLFMs) has led to remarkable performance in many tasks. However, these models tend to have strong single…
Temporal compressive edge imaging enabled by a lensless diffuser camera
Ze Zheng, Baolei Liu, Jiaqi Song +4
Lensless imagers based on diffusers or encoding masks enable high-dimensional imaging from a single shot measurement and have been applied in various applications. However, to furt…
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
Chaohui Yu, Qiang Zhou, Zhibin Wang +1
Modern supervised semantic segmentation methods are usually finetuned based on the supervised or self-supervised models pre-trained on ImageNet. Recent work shows that transferring…
RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension
Qiang Zhou, Chaohui Yu, Shaofeng Zhang +3
In this work, we investigate extending the comprehension of Multi-modal Large Language Models (MLLMs) to regional objects. To this end, we propose to extract features corresponding…
Quantitative and dark field ghost imaging with ultraviolet light
Jiaqi Song, Baolei Liu, Yao Wang +5
Ultraviolet (UV) imaging enables a diverse array of applications, such as material composition analysis, biological fluorescence imaging, and detecting defects in semiconductor man…
Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Jingliang Li, Qiang Zhou, Chaohui Yu +4
Since the advent of Neural Radiance Fields, novel view synthesis has received tremendous attention. The existing approach for the generalization of radiance field reconstruction pr…
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Chaohui Yu, Qiang Zhou, Jingliang Li +3
Text-to-3D generation has recently garnered significant attention, fueled by 2D diffusion models trained on billions of image-text pairs. Existing methods primarily rely on score d…
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net
Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran
Fetal head segmentation is a crucial step in measuring the fetal head circumference (HC) during gestation, an important biometric in obstetrics for monitoring fetal growth. However…
Dual-mode adaptive-SVD ghost imaging
Dajing Wang, Baolei Liu, Jiaqi Song +3
In this paper, we present a dual-mode adaptive singular value decomposition ghost imaging (A-SVD GI), which can be easily switched between the modes of imaging and edge detection.…
Quantum Computing by Quantum Walk on Quantum Slide
Fan Wang, Bin Cheng, Zi-Wei Cui +1
Continuous-time quantum walk is one of the alternative approaches to quantum computation, where a universal set of quantum gates can be achieved by scattering a quantum walker on s…
TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response
Jie Gao, Jing Hu, Wanqing Sun +5
Predicting clinical outcomes to anti-cancer drugs on a personalized basis is challenging in cancer treatment due to the heterogeneity of tumors. Traditional computational efforts h…
Roadmap for Optical Tweezers
Giovanni Volpe, Onofrio M. Maragò, Halina Rubinzstein-Dunlop +80
Optical tweezers are tools made of light that enable contactless pushing, trapping, and manipulation of objects ranging from atoms to space light sails. Since the pioneering work b…
Exploiting dynamic nonlinearity in upconversion nanoparticles for super-resolution imaging
Chaohao Chen, Lei Ding, Baolei Liu +14
Single-beam super-resolution microscopy, also known as superlinear microscopy, exploits the nonlinear response of fluorescent probes in confocal microscopy. The technique requires…
Electromagnetic wave propagating along a space curve
Meng-Yun Lai, Yong-Long Wang, Guo-Hua Liang +2
Using the thin-layer approach, we derive the effective equation for the electromagnetic wave propagating along a space curve. We find intrinsic spin-orbit, extrinsic spin-orbit and…
Seeds Cleansing CNMF for Spatiotemporal Neural Signals Extraction of Miniscope Imaging Data
Jinghao Lu, Chunyuan Li, Fan Wang
Miniscope calcium imaging is increasingly being used to monitor large populations of neuronal activities in freely behaving animals. However, due to the high background and low sig…