71 citations · 112 across the 5 of their papers we have counts for
7 papers
Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
Feifei Huang, Jie Li, Xuelin Zhu
Deep convolution neural network has attracted many attentions in large-scale visual classification task, and achieves significant performance improvement compared to traditional vi…
3D Gated Recurrent Fusion for Semantic Scene Completion
Yu Liu, Jie Li, Qingsen Yan +4
This paper tackles the problem of data fusion in the semantic scene completion (SSC) task, which can simultaneously deal with semantic labeling and scene completion. RGB images con…
Boosting Real-Time Driving Scene Parsing with Shared Semantics
Zhenzhen Xiang, Anbo Bao, Jie Li +1
Real-time scene parsing is a fundamental feature for autonomous driving vehicles with multiple cameras. In this letter we demonstrate that sharing semantics between cameras with di…
Enhancement of Power Equipment Management Using Knowledge Graph
Yachen Tang, Tingting Liu, Guangyi Liu +3
Accurate retrieval of the power equipment information plays an important role in guiding the full-lifecycle management of power system assets. Because of data duplication, database…
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
Jia Yan, Jie Li, Xin Fu
No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image. However, contrast distortion has been overlooked in the current research o…
Learning to Fuse Things and Stuff
Jie Li, Allan Raventos, Arjun Bhargava +2
We propose an end-to-end learning approach for panoptic segmentation, a novel task unifying instance (things) and semantic (stuff) segmentation. Our model, TASCNet, uses feature ma…