8 citations · 20 across the 8 of their papers we have counts for
8 papers
Collaborative Three-Stream Transformers for Video Captioning
Hao Wang, Libo Zhang, Heng Fan +1
As the most critical components in a sentence, subject, predicate and object require special attention in the video captioning task. To implement this idea, we design a novel frame…
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
Yunhao Li, Zhen Xiao, Lin Yang +4
Multi-object tracking (MOT) is a fundamental problem in computer vision with numerous applications, such as intelligent surveillance and automated driving. Despite the significant…
Deficiency-Aware Masked Transformer for Video Inpainting
Yongsheng Yu, Heng Fan, Libo Zhang
Recent video inpainting methods have made remarkable progress by utilizing explicit guidance, such as optical flow, to propagate cross-frame pixels. However, there are cases where…
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
Bohai Gu, Heng Fan, Libo Zhang
Current arbitrary style transfer models are limited to either image or video domains. In order to achieve satisfying image and video style transfers, two different models are inevi…
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Xinran Liu, Xiaoqiong Liu, Ziruo Yi +6
Planar object tracking is a critical computer vision problem and has drawn increasing interest owing to its key roles in robotics, augmented reality, etc. Despite rapid progress, i…
SDF-3DGAN: A 3D Object Generative Method Based on Implicit Signed Distance Function
Lutao Jiang, Ruyi Ji, Libo Zhang
In this paper, we develop a new method, termed SDF-3DGAN, for 3D object generation and 3D-Aware image synthesis tasks, which introduce implicit Signed Distance Function (SDF) as th…
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
Libo Zhang, Lutao Jiang, Ruyi Ji +1
Automatic security inspection relying on computer vision technology is a challenging task in real-world scenarios due to many factors, such as intra-class variance, class imbalance…
AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild
Libo Zhang, Junyuan Gao, Zhen Xiao +1
Multi-animal tracking (MAT), a multi-object tracking (MOT) problem, is crucial for animal motion and behavior analysis and has many crucial applications such as biology, ecology an…