Search Results for author: Shice Liu

Found 5 papers, 3 papers with code

Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

1 code implementation30 Dec 2021 Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma

However, the improvement is still limited by two issues: 1) It is difficult to perfectly map all faces to a shared feature space.

Disentanglement Domain Generalization +1

Structure Destruction and Content Combination for Face Anti-Spoofing

no code implementations22 Jul 2021 Ke-Yue Zhang, Taiping Yao, Jian Zhang, Shice Liu, Bangjie Yin, Shouhong Ding, Jilin Li

In pursuit of consolidating the face verification systems, prior face anti-spoofing studies excavate the hidden cues in original images to discriminate real persons and diverse attack types with the assistance of auxiliary supervision.

Face Anti-Spoofing Face Verification +1

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection

no code implementations9 Aug 2019 Qiankun Tang, Shice Liu, Jie Li, Yu Hu

We introduce a novel single-shot object detector to ease the imbalance of foreground-background class by suppressing the easy negatives while increasing the positives.

Decoder object-detection +1

See and Think: Disentangling Semantic Scene Completion

1 code implementation NeurIPS 2018 Shice Liu, Yu Hu, Yiming Zeng, Qiankun Tang, Beibei Jin, Yinhe Han, Xiaowei Li

Semantic scene completion predicts volumetric occupancy and object category of a 3D scene, which helps intelligent agents to understand and interact with the surroundings.

2D Semantic Segmentation 3D Semantic Scene Completion +2

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