40 citations · 225 across the 25 of their papers we have counts for
9 papers · 1 filter
Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating
Rui Yao, Yuhong Zhang, Kunyang Sun +4
Hyperspectral object tracking (HOT) leverages the rich spectral information provided by hyperspectral videos (HSVs), offering substantial potential for object tracking. However, ef…
LOD-Net: Locality-Aware 3D Object Detection Using Multi-Scale Transformer Network
Mustaqeem Khan, Aidana Nurakhmetova, Wail Gueaieb +1
3D object detection in point cloud data remains a challenging task due to the sparsity and lack of global structure inherent in the input. In this work, we propose a novel Multi-Sc…
Real-Time Oriented Object Detection Transformer in Remote Sensing Images
Zeyu Ding, Yong Zhou, Jiaqi Zhao +4
Recent real-time detection transformers have gained popularity due to their simplicity and efficiency. However, these detectors do not explicitly model object rotation, especially…
GroMo: Plant Growth Modeling with Multiview Images
Ruchi Bhatt, Shreya Bansal, Amanpreet Chander +5
Understanding plant growth dynamics is essential for applications in agriculture and plant phenotyping. We present the Growth Modelling (GroMo) challenge, which is designed for two…
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN
Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang +1
Accurate Defect detection is crucial for ensuring the trustworthiness of intelligent railway systems. Current approaches rely on single deep-learning models, like CNNs, which emplo…
Weakly Supervised 3D Open-vocabulary Segmentation
Kunhao Liu, Fangneng Zhan, Jiahui Zhang +6
Open-vocabulary segmentation of 3D scenes is a fundamental function of human perception and thus a crucial objective in computer vision research. However, this task is heavily impe…
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Aoran Xiao, Jiaxing Huang, Weihao Xuan +6
Robust point cloud parsing under all-weather conditions is crucial to level-5 autonomy in autonomous driving. However, how to learn a universal 3D semantic segmentation (3DSS) mode…
Learning to Estimate 3D Human Pose from Point Cloud
Yufan Zhou, Haiwei Dong, Abdulmotaleb El Saddik
3D pose estimation is a challenging problem in computer vision. Most of the existing neural-network-based approaches address color or depth images through convolution networks (CNN…
Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
Chaofan Zheng, Lianli Gao, Xinyu Lyu +3
The current studies of Scene Graph Generation (SGG) focus on solving the long-tailed problem for generating unbiased scene graphs. However, most de-biasing methods overemphasize th…