19 citations · 45 across the 12 of their papers we have counts for
8 papers · 1 filter
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential
Dongjingdin Liu, Pengpeng Chen, Miao Yao +3
Skeleton-based action recognition has achieved remarkable results in human action recognition with the development of graph convolutional networks (GCNs). However, the recent works…
Image Search with Text Feedback by Additive Attention Compositional Learning
Yuxin Tian, Shawn Newsam, Kofi Boakye
Effective image retrieval with text feedback stands to impact a range of real-world applications, such as e-commerce. Given a source image and text feedback that describes the desi…
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan, Yuxin Tian, Xuesong Shi +3
Recent advances have enabled a single neural network to serve as an implicit scene representation, establishing the mapping function between spatial coordinates and scene propertie…
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
Xueqing Deng, Yi Zhu, Yuxin Tian +1
Neural network-based semantic segmentation has achieved remarkable results when large amounts of annotated data are available, that is, in the supervised case. However, such data i…
Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments
Yuxin Tian, Jinyu MIao, Xingming Wu +3
Features play an important role in various visual tasks, especially in visual place recognition applied in perceptual changing environments. In this paper, we address the challenge…
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
Xueqing Deng, Yi Zhu, Yuxin Tian +1
Land-cover classification using remote sensing imagery is an important Earth observation task. Recently, land cover classification has benefited from the development of fully conne…
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization
Dongjiang Li, Jinyu Miao, Xuesong Shi +9
Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge i…
iffDetector: Inference-aware Feature Filtering for Object Detection
Mingyuan Mao, Yuxin Tian, Baochang Zhang +4
Modern CNN-based object detectors focus on feature configuration during training but often ignore feature optimization during inference. In this paper, we propose a new feature opt…