activity
20132025
most citedIntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

158 citations · 716 across the 49 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

10 papers · 2 filters

cs.CV2021

SimulSLT: End-to-End Simultaneous Sign Language Translation

Aoxiong Yin, Zhou Zhao, Jinglin Liu +4

Sign language translation as a kind of technology with profound social significance has attracted growing researchers' interest in recent years. However, the existing sign language…

cs.CV2021★ 2 cited

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory

Zhijie Lin, Zhou Zhao, Haoyuan Li +4

Lip reading, aiming to recognize spoken sentences according to the given video of lip movements without relying on the audio stream, has attracted great interest due to its applica…

cs.CV2021★ 85 cited

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

Wenxiao Wang, Lu Yao, Long Chen +4

Transformers have made great progress in dealing with computer vision tasks. However, existing vision transformers do not yet possess the ability of building the interactions among…

cs.CV2021★ 3 cited

Salient Object Ranking with Position-Preserved Attention

Hao Fang, Daoxin Zhang, Yi Zhang +5

Instance segmentation can detect where the objects are in an image, but hard to understand the relationship between them. We pay attention to a typical relationship, relative salie…

cs.CV2021★ 9 cited

Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification

Yang Liu, Weifeng Zhang, Chao Xiang +3

Few-shot learning (FSL) aims to learn a classifier that can be easily adapted to accommodate new tasks not seen during training, given only a few examples. To handle the limited-da…

cs.CV2021★ 4 cited

Discriminative-Generative Dual Memory Video Anomaly Detection

Xin Guo, Zhongming Jin, Chong Chen +5

Recently, people tried to use a few anomalies for video anomaly detection (VAD) instead of only normal data during the training process. A side effect of data imbalance occurs when…

cs.CV2021★ 11 cited

OCM3D: Object-Centric Monocular 3D Object Detection

Liang Peng, Fei Liu, Senbo Yan +2

Image-only and pseudo-LiDAR representations are commonly used for monocular 3D object detection. However, methods based on them have shortcomings of either not well capturing the s…

cs.CV2021

X-view: Non-egocentric Multi-View 3D Object Detector

Liang Xie, Guodong Xu, Deng Cai +1

3D object detection algorithms for autonomous driving reason about 3D obstacles either from 3D birds-eye view or perspective view or both. Recent works attempt to improve the detec…

cs.CV2021★ 28 cited

ES-Net: Erasing Salient Parts to Learn More in Re-Identification

Dong Shen, Shuai Zhao, Jinming Hu +3

As an instance-level recognition problem, re-identification (re-ID) requires models to capture diverse features. However, with continuous training, re-ID models pay more and more a…

cs.CV2021★ 1 cited

DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network

Yang Liu, Tu Zheng, Jie Song +2

Few-shot learning (FSL) aims to classify images under low-data regimes, where the conventional pooled global feature is likely to lose useful local characteristics. Recent work has…