51 citations · 56 across the 7 of their papers we have counts for
7 papers
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
LiDAR odometry estimation and 3D semantic segmentation are crucial for autonomous driving, which has achieved remarkable advances recently. However, these tasks are challenging due…
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
Feed-forward only convolutional neural networks (CNNs) may ignore intrinsic relationships and potential benefits of feedback connections in vision tasks such as saliency detection,…
Anomaly Detection in Video Sequences: A Benchmark and Computational Model
Boyang Wan, Wenhui Jiang, Yuming Fang +2
Anomaly detection has attracted considerable search attention. However, existing anomaly detection databases encounter two major problems. Firstly, they are limited in scale. Secon…
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Nevrez Imamoglu, Guanqun Ding, Yuming Fang +3
Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes. Howe…
Robustness Analysis of Pedestrian Detectors for Surveillance
Yuming Fang, Guanqun Ding, Yuan Yuan +2
To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter…
Video Saliency Detection by 3D Convolutional Neural Networks
Guanqun Ding, Yuming Fang
Different from salient object detection methods for still images, a key challenging for video saliency detection is how to extract and combine spatial and temporal features. In thi…
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang +4
Many works have been done on salient object detection using supervised or unsupervised approaches on colour images. Recently, a few studies demonstrated that efficient salient obje…