Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileWorks148 from public data
- Nanofiber membrane supported lung-on-a-chip microdevice for anti-cancer drug testing240
A lung-on-a-chip with a poly(lactic-co-glycolic acid) electrospinning nanofiber membrane as the chip substrate and cell scaffold is developed and found that A549 cells could lead to endothelial cell apoptosis or death, and then the occurrence of tumor invasion.
- CounTR: Transformer-based Generalised Visual Counting151
This paper introduces a novel transformer-based architecture for generalised visual object counting, termed as Counting Transformer (CounTR), which explicitly capture the similarity between image patches or with given"exemplars" with the attention mechanism.
- The Ninth Visual Object Tracking VOT2021 Challenge Results127
The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative; results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years.
- Multi-Scale Ship Detection Algorithm Based on YOLOv7 for Complex Scene SAR Images126
This paper suggests an SAS-FPN module that combines atrous spatial pyramid pooling and shuffle attention, allowing the model to focus on important information and ignore irrelevant information, reduce the feature loss of small ships, and simultaneously fuse the feature maps of ship targets on various SAR image scales, thereby improving detection accuracy and the model’s capacity to detect objects at several scales.
- Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation73
A group ranking-based Out-of-Candidate Rectification (OCR) mechanism in a plug-and-play fashion that can achieve remarkable performance gains on both Pascal VOC and MS COCO datasets with negligible extra training overhead, which jus-tifies the effectiveness and generality of OCR.
- Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection67
A Ambiguity-Resistant Semi-supervised Learning (ARSL) for one-stage detectors is proposed that effectively mitigates the ambiguities and achieves state-of-the-art SSOD performance on MS COCO and PASCAL VOC.
- 50
- On-Line Pattern Matching on Similar Texts44
An attempt to close this gap via proposing two efficient algorithms for pattern matching on a set of similar texts, which requires time linear in the size of the texts' representation, for short patterns.
- 43
- 40
- Linear Span Network for Object Skeleton Detection40
A Linear Span Network (LSN) is proposed which introduces Linear Span Units (LSUs) to minimizes the reconstruction error and utilizes subspace linear span besides the feature linear span to increase the independence of convolutional features and the efficiency of feature integration, which enhances the capability of fitting complex ground-truth.
- Discretization-aware architecture search37
Discretization-aware architecture search is presented, with the core idea being adding a loss term to push the super-network towards the configuration of desired topology, so that the accuracy loss brought by discretization is largely alleviate.
- 35
- 30
- An efficient multi-scale channel attention network for person re-identification28
This work designed a novel cross-channel attention module (CCAM) in EMCA and placed it after different layers in the backbone and showed that the performance of the EMCA is consistently significantly superior to the existing state-of-the-art methods.
- 27
- 25
- 25
- 25
- 24
- Unsupervised underwater shipwreck detection in side-scan sonar images based on domain-adaptive techniques20
A domain collaborative bridging detector (DCBD) including intra-domain consistency constraint (IDCC) and domain collaborative bridging (DCB), is proposed, which addresses the conflict between feature transferability and discriminability in domain-adaptive object detection.
- UMOTMA: Underwater multiple object tracking with memory aggregation20
Experiments on the UMOT datasets and the underwater fish school datasets show that UMOTMA generally outperforms existing models and can maintain the stability of the target trajectory while ensuring high-quality detection.
- 18
- 18
- Error Concealment for Whole Frame Loss in HEVC18
By analysis of the texture features of video, motion vector extrapolation based on variable size coding blocks is proposed in this paper to recovery the lost frame fast and effectively.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.