65 citations · 113 across the 11 of their papers we have counts for
9 papers · 1 filter
Breaking Smooth-Motion Assumptions: A UAV Benchmark for Multi-Object Tracking in Complex and Adverse Conditions
Jingtao Ye, Kexin Zhang, Xunchi Ma +6
The rapid movements and agile maneuvers of unmanned aerial vehicles (UAVs) induce significant observational challenges for multi-object tracking (MOT). However, existing UAV-perspe…
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection
Hongsheng Li, Guangming Zhu, Wu Zhen +5
The key of Human-Object Interaction(HOI) recognition is to infer the relationship between human and objects. Recently, the image's Human-Object Interaction(HOI) detection has made…
Scene Graph Generation: A Comprehensive Survey
Guangming Zhu, Liang Zhang, Youliang Jiang +8
Deep learning techniques have led to remarkable breakthroughs in the field of generic object detection and have spawned a lot of scene-understanding tasks in recent years. Scene gr…
Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition
Ning Wang, Guangming Zhu, Liang Zhang +3
For a given video-based Human-Object Interaction scene, modeling the spatio-temporal relationship between humans and objects are the important cue to understand the contextual info…
Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
Mingtao Feng, Zhen Li, Qi Li +6
3D object grounding aims to locate the most relevant target object in a raw point cloud scene based on a free-form language description. Understanding complex and diverse descripti…
MeDaS: An open-source platform as service to help break the walls between medicine and informatics
Liang Zhang, Johann Li, Ping Li +7
In the past decade, deep learning (DL) has achieved unprecedented success in numerous fields including computer vision, natural language processing, and healthcare. In particular,…
Efficient Scene Text Detection with Textual Attention Tower
Liang Zhang, Yufei Liu, Hang Xiao +5
Scene text detection has received attention for years and achieved an impressive performance across various benchmarks. In this work, we propose an efficient and accurate approach…
Relation Graph Network for 3D Object Detection in Point Clouds
Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang +2
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy for most object detection tasks on 2D images. However, their power has not been fully realised for detectin…
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng, Liang Zhang, Xuefei Lin +2
Convolutional Neural Networks (CNNs) have performed extremely well on data represented by regularly arranged grids such as images. However, directly leveraging the classic convolut…