activity
20182021
most citedPVNet: Pixel-wise Voting Network for 6DoF Pose Estimation

44 citations · 80 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV202111 cited

Improving 3D Object Detection with Channel-wise Transformer

Hualian Sheng, Sijia Cai, Yuan Liu +4

Though 3D object detection from point clouds has achieved rapid progress in recent years, the lack of flexible and high-performance proposal refinement remains a great hurdle for e…

cs.CV2021

The Blessings of Unlabeled Background in Untrimmed Videos

Yuan Liu, Jingyuan Chen, Zhenfang Chen +3

Weakly-supervised Temporal Action Localization (WTAL) aims to detect the action segments with only video-level action labels in training. The key challenge is how to distinguish th…

cs.CV2020

Object Tracking Using Spatio-Temporal Future Prediction

Yuan Liu, Ruoteng Li, Robby T. Tan +2

Occlusion is a long-standing problem that causes many modern tracking methods to be erroneous. In this paper, we address the occlusion problem by exploiting the current and future…

cs.CV2020

MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification

Yushi Lan, Yuan Liu, Maoqing Tian +4

Although person re-identification (ReID) has achieved significant improvement recently by enforcing part alignment, it is still a challenging task when it comes to distinguishing v…

cs.CV201925 cited

GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs

Yuan Liu, Zehong Shen, Zhixuan Lin +3

Finding local correspondences between images with different viewpoints requires local descriptors that are robust against geometric transformations. An approach for transformation…

cs.CV201844 cited

PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation

Sida Peng, Yuan Liu, Qixing Huang +2

This paper addresses the challenge of 6DoF pose estimation from a single RGB image under severe occlusion or truncation. Many recent works have shown that a two-stage approach, whi…