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20172021
most citedAsymmetric Non-local Neural Networks for Semantic Segmentation

77 citations · 249 across the 6 of their papers we have counts for

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8 papers · 1 filter

cs.CV2021

EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection

Zhe Liu, Tengteng Huang, Bingling Li +3

Recently, fusing the LiDAR point cloud and camera image to improve the performance and robustness of 3D object detection has received more and more attention, as these two modaliti…

cs.CV2020★ 27 cited

EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection

Tengteng Huang, Zhe Liu, Xiwu Chen +1

In this paper, we aim at addressing two critical issues in the 3D detection task, including the exploitation of multiple sensors~(namely LiDAR point cloud and camera image), as wel…

cs.CV2019★ 29 cited

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

Zhe Liu, Xin Zhao, Tengteng Huang +3

In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches. We observe two crucial pheno…

cs.CV2019★ 77 cited

Asymmetric Non-local Neural Networks for Semantic Segmentation

Zhen Zhu, Mengde Xu, Song Bai +2

The non-local module works as a particularly useful technique for semantic segmentation while criticized for its prohibitive computation and GPU memory occupation. In this paper, w…

cs.CV2019

View N-gram Network for 3D Object Retrieval

Xinwei He, Tengteng Huang, Song Bai +1

How to aggregate multi-view representations of a 3D object into an informative and discriminative one remains a key challenge for multi-view 3D object retrieval. Existing methods e…

cs.CV2019★ 42 cited

Progressive Pose Attention Transfer for Person Image Generation

Zhen Zhu, Tengteng Huang, Baoguang Shi +3

This paper proposes a new generative adversarial network for pose transfer, i.e., transferring the pose of a given person to a target pose. The generator of the network comprises a…

cs.CV2017★ 63 cited

Deep-Person: Learning Discriminative Deep Features for Person Re-Identification

Xiang Bai, Mingkun Yang, Tengteng Huang +3

Recently, many methods of person re-identification (Re-ID) rely on part-based feature representation to learn a discriminative pedestrian descriptor. However, the spatial context b…

cs.CV2017★ 11 cited

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

Pengyuan Lyu, Xiang Bai, Cong Yao +3

In this paper, we investigate the Chinese calligraphy synthesis problem: synthesizing Chinese calligraphy images with specified style from standard font(eg. Hei font) images (Fig.…