50 citations · 99 across the 14 of their papers we have counts for
19 papers
SPAN: Learning Similarity between Scene Graphs and Images with Transformers
Yuren Cong, Wentong Liao, Bodo Rosenhahn +1
Learning similarity between scene graphs and images aims to estimate a similarity score given a scene graph and an image. There is currently no research dedicated to this task, alt…
Disentangled Lifespan Face Synthesis
Sen He, Wentong Liao, Michael Ying Yang +3
A lifespan face synthesis (LFS) model aims to generate a set of photo-realistic face images of a person's whole life, given only one snapshot as reference. The generated face image…
Spatial-Temporal Transformer for Dynamic Scene Graph Generation
Yuren Cong, Wentong Liao, Hanno Ackermann +2
Dynamic scene graph generation aims at generating a scene graph of the given video. Compared to the task of scene graph generation from images, it is more challenging because of th…
Text to Image Generation with Semantic-Spatial Aware GAN
Kai Hu, Wentong Liao, Michael Ying Yang +1
Text-to-image synthesis (T2I) aims to generate photo-realistic images which are semantically consistent with the text descriptions. Existing methods are usually built upon conditio…
Context-Aware Layout to Image Generation with Enhanced Object Appearance
Sen He, Wentong Liao, Michael Ying Yang +4
A layout to image (L2I) generation model aims to generate a complicated image containing multiple objects (things) against natural background (stuff), conditioned on a given layout…
Exploring Dynamic Context for Multi-path Trajectory Prediction
Hao Cheng, Wentong Liao, Xuejiao Tang +3
To accurately predict future positions of different agents in traffic scenarios is crucial for safely deploying intelligent autonomous systems in the real-world environment. Howeve…
AMENet: Attentive Maps Encoder Network for Trajectory Prediction
Hao Cheng, Wentong Liao, Michael Ying Yang +2
Trajectory prediction is critical for applications of planning safe future movements and remains challenging even for the next few seconds in urban mixed traffic. How an agent move…
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery
Wentong Liao, Xiang Chen, Jingfeng Yang +4
State-of-the-art object detection approaches such as Fast/Faster R-CNN, SSD, or YOLO have difficulties detecting dense, small targets with arbitrary orientation in large aerial ima…
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
Tongxin Hu, Vasileios Iosifidis, Wentong Liao +4
In this paper, we propose FairNN a neural network that performs joint feature representation and classification for fairness-aware learning. Our approach optimizes a multi-objectiv…
Image Captioning through Image Transformer
Sen He, Wentong Liao, Hamed R. Tavakoli +3
Automatic captioning of images is a task that combines the challenges of image analysis and text generation. One important aspect in captioning is the notion of attention: How to d…
NODIS: Neural Ordinary Differential Scene Understanding
Cong Yuren, Hanno Ackermann, Wentong Liao +2
Semantic image understanding is a challenging topic in computer vision. It requires to detect all objects in an image, but also to identify all the relations between them. Detected…
Target-Tailored Source-Transformation for Scene Graph Generation
Wentong Liao, Cuiling Lan, Wenjun Zeng +2
Scene graph generation aims to provide a semantic and structural description of an image, denoting the objects (with nodes) and their relationships (with edges). The best performin…
Security Event Recognition for Visual Surveillance
Michael Ying Yang, Wentong Liao, Chun Yang +2
With rapidly increasing deployment of surveillance cameras, the reliable methods for automatically analyzing the surveillance video and recognizing special events are demanded by d…
Temporally Object-based Video Co-Segmentation
Michael Ying Yang, Matthias Reso, Jun Tang +2
In this paper, we propose an unsupervised video object co-segmentation framework based on the primary object proposals to extract the common foreground object(s) from a given video…
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models
Michael Ying Yang, Wentong Liao, Yanpeng Cao +1
In this paper, we present an unsupervised learning framework for analyzing activities and interactions in surveillance videos. In our framework, three levels of video events are co…
Triplet-based Deep Similarity Learning for Person Re-Identification
Wentong Liao, Michael Ying Yang, Ni Zhan +1
In recent years, person re-identification (re-id) catches great attention in both computer vision community and industry. In this paper, we propose a new framework for person re-id…
Vehicle Detection in Aerial Images
Michael Ying Yang, Wentong Liao, Xinbo Li +1
The detection of vehicles in aerial images is widely applied in many applications. Comparing with object detection in the ground view images, vehicle detection in aerial images rem…
Natural Language Guided Visual Relationship Detection
Wentong Liao, Lin Shuai, Bodo Rosenhahn +1
Reasoning about the relationships between object pairs in images is a crucial task for holistic scene understanding. Most of the existing works treat this task as a pure visual cla…
On Support Relations and Semantic Scene Graphs
Michael Ying Yang, Wentong Liao, Hanno Ackermann +1
Scene understanding is a popular and challenging topic in both computer vision and photogrammetry. Scene graph provides rich information for such scene understanding. This paper pr…