794 citations · 4.4k across the 64 of their papers we have counts for
12 papers · 1 filter
Sequential Context Encoding for Duplicate Removal
Lu Qi, Shu Liu, Jianping Shi +1
Duplicate removal is a critical step to accomplish a reasonable amount of predictions in prevalent proposal-based object detection frameworks. Albeit simple and effective, most pre…
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
Xinge Zhu, Hui Zhou, Ceyuan Yang +2
Due to the expensive and time-consuming annotations (e.g., segmentation) for real-world images, recent works in computer vision resort to synthetic data. However, the performance o…
Generative Adversarial Frontal View to Bird View Synthesis
Xinge Zhu, Zhichao Yin, Jianping Shi +2
Environment perception is an important task with great practical value and bird view is an essential part for creating panoramas of surrounding environment. Due to the large gap an…
SegStereo: Exploiting Semantic Information for Disparity Estimation
Guorun Yang, Hengshuang Zhao, Jianping Shi +2
Disparity estimation for binocular stereo images finds a wide range of applications. Traditional algorithms may fail on featureless regions, which could be handled by high-level cl…
Pose Guided Human Video Generation
Ceyuan Yang, Zhe Wang, Xinge Zhu +3
Due to the emergence of Generative Adversarial Networks, video synthesis has witnessed exceptional breakthroughs. However, existing methods lack a proper representation to explicit…
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
Xingang Pan, Ping Luo, Jianping Shi +1
Convolutional neural networks (CNNs) have achieved great successes in many computer vision problems. Unlike existing works that designed CNN architectures to improve performance on…
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation
Yikang Li, Wanli Ouyang, Bolei Zhou +3
Generating scene graph to describe all the relations inside an image gains increasing interests these years. However, most of the previous methods use complicated structures with s…
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
Tianyi Liu, Shiyang Li, Jianping Shi +2
Asynchronous momentum stochastic gradient descent algorithms (Async-MSGD) is one of the most popular algorithms in distributed machine learning. However, its convergence properties…
Low-Latency Video Semantic Segmentation
Yule Li, Jianping Shi, Dahua Lin
Recent years have seen remarkable progress in semantic segmentation. Yet, it remains a challenging task to apply segmentation techniques to video-based applications. Specifically,…
Context Encoding for Semantic Segmentation
Hang Zhang, Kristin Dana, Jianping Shi +4
Recent work has made significant progress in improving spatial resolution for pixelwise labeling with Fully Convolutional Network (FCN) framework by employing Dilated/Atrous convol…
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin, Jianping Shi
We propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and ego-motion estimation from videos. The three components are coupled by the nature…
Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin +2
The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in pro…