142 citations · 192 across the 19 of their papers we have counts for
20 papers
Text-guided Eyeglasses Manipulation with Spatial Constraints
Jiacheng Wang, Ping Liu, Jingen Liu +1
Virtual try-on of eyeglasses involves placing eyeglasses of different shapes and styles onto a face image without physically trying them on. While existing methods have shown impre…
Video2StyleGAN: Encoding Video in Latent Space for Manipulation
Jiyang Yu, Jingen Liu, Jing Huang +2
Many recent works have been proposed for face image editing by leveraging the latent space of pretrained GANs. However, few attempts have been made to directly apply them to videos…
A-ACT: Action Anticipation through Cycle Transformations
Akash Gupta, Jingen Liu, Liefeng Bo +2
While action anticipation has garnered a lot of research interest recently, most of the works focus on anticipating future action directly through observed visual cues only. In thi…
Cross-modal Contrastive Distillation for Instructional Activity Anticipation
Zhengyuan Yang, Jingen Liu, Jing Huang +4
In this study, we aim to predict the plausible future action steps given an observation of the past and study the task of instructional activity anticipation. Unlike previous antic…
Smart Director: An Event-Driven Directing System for Live Broadcasting
Yingwei Pan, Yue Chen, Qian Bao +4
Live video broadcasting normally requires a multitude of skills and expertise with domain knowledge to enable multi-camera productions. As the number of cameras keep increasing, di…
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation
Yang Peng, Ping Liu, Yawei Luo +3
Unsupervised domain adaptive person re-identification has received significant attention due to its high practical value. In past years, by following the clustering and finetuning…
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
Yi Lin, Jianchao Su, Xiang Wang +4
Automated methods for detecting pulmonary embolisms (PEs) on CT pulmonary angiography (CTPA) images are of high demand. Existing methods typically employ separate steps for PE cand…
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Xiao Wang, Jingen Liu, Tao Mei +1
Some cognitive research has discovered that humans accomplish event segmentation as a side effect of event anticipation. Inspired by this discovery, we propose a simple yet effecti…
Memory-Augmented Non-Local Attention for Video Super-Resolution
Jiyang Yu, Jingen Liu, Liefeng Bo +1
In this paper, we propose a novel video super-resolution method that aims at generating high-fidelity high-resolution (HR) videos from low-resolution (LR) ones. Previous methods pr…
Improving Contrastive Learning by Visualizing Feature Transformation
Rui Zhu, Bingchen Zhao, Jingen Liu +2
Contrastive learning, which aims at minimizing the distance between positive pairs while maximizing that of negative ones, has been widely and successfully applied in unsupervised…
Toward Accurate and Realistic Outfits Visualization with Attention to Details
Kedan Li, Min jin Chong, Jeffrey Zhang +1
Virtual try-on methods aim to generate images of fashion models wearing arbitrary combinations of garments. This is a challenging task because the generated image must appear reali…
Action Unit Memory Network for Weakly Supervised Temporal Action Localization
Wang Luo, Tianzhu Zhang, Wenfei Yang +4
Weakly supervised temporal action localization aims to detect and localize actions in untrimmed videos with only video-level labels during training. However, without frame-level an…
Learning a Unified Sample Weighting Network for Object Detection
Qi Cai, Yingwei Pan, Yu Wang +3
Region sampling or weighting is significantly important to the success of modern region-based object detectors. Unlike some previous works, which only focus on "hard" samples when…
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks
Ning Zhang, Jingen Liu, Ke Wang +2
The current deep learning based visual tracking approaches have been very successful by learning the target classification and/or estimation model from a large amount of supervised…
Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps
Kedan Li, Min Jin Chong, Jingen Liu +1
A virtual try-on method takes a product image and an image of a model and produces an image of the model wearing the product. Most methods essentially compute warps from the produc…
Label Refinement with an Iterative Generative Adversarial Network for Boosting Retinal Vessel Segmentation
Yunqiao Yang, Zhiwei Wang, Jingen Liu +2
State-of-the-art methods for retinal vessel segmentation mainly rely on manually labeled vessels as the ground truth for supervised training. The quality of manual labels plays an…
Theme-Matters: Fashion Compatibility Learning via Theme Attention
Jui-Hsin Lai, Bo Wu, Xin Wang +3
Fashion compatibility learning is important to many fashion markets such as outfit composition and online fashion recommendation. Unlike previous work, we argue that fashion compat…
Customizable Architecture Search for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Jingen Liu +3
In this paper, we propose a Customizable Architecture Search (CAS) approach to automatically generate a network architecture for semantic image segmentation. The generated network…
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction
Longlong Jing, Xiaodong Yang, Jingen Liu +1
The success of deep neural networks generally requires a vast amount of training data to be labeled, which is expensive and unfeasible in scale, especially for video collections. T…
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos
Mohamed Elhoseiny, Jingen Liu, Hui Cheng +2
We propose a new zero-shot Event Detection method by Multi-modal Distributional Semantic embedding of videos. Our model embeds object and action concepts as well as other available…