1.6k citations · 3.7k across the 93 of their papers we have counts for
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Densely Semantically Aligned Person Re-Identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng +1
We propose a densely semantically aligned person re-identification framework. It fundamentally addresses the body misalignment problem caused by pose/viewpoint variations, imperfec…
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis
Guanyu Gao, Linsen Dong, Huaizheng Zhang +2
Adaptive bitrate (ABR) streaming is the de facto solution for achieving smooth viewing experiences under unstable network conditions. However, most of the existing rate adaptation…
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Hao Luo, Wenxuan Xie, Xinggang Wang +1
State-of-the-art object detectors and trackers are developing fast. Trackers are in general more efficient than detectors but bear the risk of drifting. A question is hence raised…
Temporal-Spatial Mapping for Action Recognition
Xiaolin Song, Cuiling Lan, Wenjun Zeng +3
Deep learning models have enjoyed great success for image related computer vision tasks like image classification and object detection. For video related tasks like human action re…
Towards a Better Match in Siamese Network Based Visual Object Tracker
Anfeng He, Chong Luo, Xinmei Tian +1
Recently, Siamese network based trackers have received tremendous interest for their fast tracking speed and high performance. Despite the great success, this tracking framework st…
Adding Attentiveness to the Neurons in Recurrent Neural Networks
Pengfei Zhang, Jianru Xue, Cuiling Lan +3
Recurrent neural networks (RNNs) are capable of modeling the temporal dynamics of complex sequential information. However, the structures of existing RNN neurons mainly focus on co…
Learning to Update for Object Tracking with Recurrent Meta-learner
Bi Li, Wenxuan Xie, Wenjun Zeng +1
Model update lies at the heart of object tracking. Generally, model update is formulated as an online learning problem where a target model is learned over the online training set.…
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
Pengfei Zhang, Cuiling Lan, Junliang Xing +3
Skeleton-based human action recognition has recently attracted increasing attention thanks to the accessibility and the popularity of 3D skeleton data. One of the key challenges in…
A Twofold Siamese Network for Real-Time Object Tracking
Anfeng He, Chong Luo, Xinmei Tian +1
Observing that Semantic features learned in an image classification task and Appearance features learned in a similarity matching task complement each other, we build a twofold Sia…
Object Detection in Videos by High Quality Object Linking
Peng Tang, Chunyu Wang, Xinggang Wang +3
Compared with object detection in static images, object detection in videos is more challenging due to degraded image qualities. An effective way to address this problem is to expl…