44 citations · 93 across the 11 of their papers we have counts for
11 papers
Local Structure-aware Graph Contrastive Representation Learning
Kai Yang, Yuan Liu, Zijuan Zhao +2
Traditional Graph Neural Network (GNN), as a graph representation learning method, is constrained by label information. However, Graph Contrastive Learning (GCL) methods, which tac…
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning
Yuan Liu, Jiacheng Chen, Hao Wu
Learning effective motion features is an essential pursuit of video representation learning. This paper presents a simple yet effective sample construction strategy to boost the le…
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground
Haoxin Li, Yuan Liu, Hanwang Zhang +1
In video action recognition, shortcut static features can interfere with the learning of motion features, resulting in poor out-of-distribution (OOD) generalization. The video back…
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…
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…
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…
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…
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…
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…
Best Vision Technologies Submission to ActivityNet Challenge 2018-Task: Dense-Captioning Events in Videos
Yuan Liu, Moyini Yao
This note describes the details of our solution to the dense-captioning events in videos task of ActivityNet Challenge 2018. Specifically, we solve this problem with a two-stage wa…
Glasgow's Stereo Image Database of Garments
Gerardo Aragon-Camarasa, Susanne B. Oehler, Yuan Liu +3
To provide insight into cloth perception and manipulation with an active binocular robotic vision system, we compiled a database of 80 stereo-pair colour images with corresponding…