26 citations · 68 across the 6 of their papers we have counts for
7 papers
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
Mingjin Zhang, Chi Zhang, Qiming Zhang +3
Single hyperspectral image super-resolution (single-HSI-SR) aims to restore a high-resolution hyperspectral image from a low-resolution observation. However, the prevailing CNN-bas…
Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
Chi Zhang, Christian Berger, Marco Dozza
Pedestrian trajectory prediction in urban scenarios is essential for automated driving. This task is challenging because the behavior of pedestrians is influenced by both their own…
Manual-Label Free 3D Detection via An Open-Source Simulator
Zhen Yang, Chi Zhang, Huiming Guo +1
LiDAR based 3D object detectors typically need a large amount of detailed-labeled point cloud data for training, but these detailed labels are commonly expensive to acquire. In thi…
A Coarse-To-Fine Framework For Video Object Segmentation
Chi Zhang, Alexander Loui
In this study, we develop an unsupervised coarse-to-fine video analysis framework and prototype system to extract a salient object in a video sequence. This framework starts from t…
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness
Nevrez Imamoglu, Wataru Shimoda, Chi Zhang +4
Bottom-up and top-down visual cues are two types of information that helps the visual saliency models. These salient cues can be from spatial distributions of the features (space-b…
Saliency Detection by Forward and Backward Cues in Deep-CNNs
Nevrez Imamoglu, Chi Zhang, Wataru Shimoda +2
As prior knowledge of objects or object features helps us make relations for similar objects on attentional tasks, pre-trained deep convolutional neural networks (CNNs) can be used…
Effective Clipart Image Vectorization Through Direct Optimization of Bezigons
Ming Yang, Hongyang Chao, Chi Zhang +3
Bezigons, i.e., closed paths composed of Bézier curves, have been widely employed to describe shapes in image vectorization results. However, most existing vectorization techniques…