11 citations · 19 across the 10 of their papers we have counts for
10 papers
SAIF: A Stability-Aware Inference Framework for Medical Image Segmentation with Segment Anything Model
Ke Wu, Shiqi Chen, Yiheng Zhong +5
Segment Anything Model (SAM) enable scalable medical image segmentation but suffer from inference-time instability when deployed as a frozen backbone. In practice, bounding-box pro…
Mean Height Aided Post-Processing for Pedestrian Detection
Jing Yuan, Tania Stathaki, Guangyu Ren
The design of pedestrian detectors seldom considers the unique characteristics of this task and usually follows the common strategies for general object detection. To explore the p…
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
Michalis Lazarou, Yannis Avrithis, Guangyu Ren +1
Few-shot learning addresses the issue of classifying images using limited labeled data. Exploiting unlabeled data through the use of transductive inference methods such as label pr…
Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers
Guangyu Ren, Michalis Lazarou, Jing Yuan +1
Polyp segmentation is a crucial step towards computer-aided diagnosis of colorectal cancer. However, most of the polyp segmentation methods require pixel-wise annotated datasets. A…
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
Tianhong Dai, Hengyan Liu, Kai Arulkumaran +2
Hindsight experience replay (HER) is a goal relabelling technique typically used with off-policy deep reinforcement learning algorithms to solve goal-oriented tasks; it is well sui…
Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection
Guangyu Ren, Yanchu Xie, Tianhong Dai +1
Salient object detection(SOD) aims at locating the most significant object within a given image. In recent years, great progress has been made in applying SOD on many vision tasks.…
Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection
Guangyu Ren, Yinxiao Yu, Hengyan Liu +1
RGB-D salient object detection (SOD) demonstrates its superiority on detecting in complex environments due to the additional depth information introduced in the data. Inevitably, a…
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network
Guangyu Ren, Tianhong Dai, Panagiotis Barmpoutis +1
Salient object detection has achieved great improvement by using the Fully Convolution Network (FCN). However, the FCN-based U-shape architecture may cause the dilution problem in…
Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection
Tianrui Liu, Jun-Jie Huang, Tianhong Dai +2
Pedestrian detection methods have been significantly improved with the development of deep convolutional neural networks. Nevertheless, robustly detecting pedestrians with a large…