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20102023
most citedSession-based Recommendation with Graph Neural Networks

1.5k citations · 3.2k across the 75 of their papers we have counts for

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Showing 2021 · cs.CVShow all

12 papers · 2 filters

cs.CV2021

Learning Instance-level Spatial-Temporal Patterns for Person Re-identification

Min Ren, Lingxiao He, Xingyu Liao +3

Person re-identification (Re-ID) aims to match pedestrians under dis-joint cameras. Most Re-ID methods formulate it as visual representation learning and image search, and its accu…

cs.CV2021★ 2 cited

Neighbor-view Enhanced Model for Vision and Language Navigation

Dong An, Yuankai Qi, Yan Huang +3

Vision and Language Navigation (VLN) requires an agent to navigate to a target location by following natural language instructions. Most of existing works represent a navigation ca…

cs.CV2021★ 2 cited

Adaptive Dilated Convolution For Human Pose Estimation

Zhengxiong Luo, Zhicheng Wang, Yan Huang +3

Most existing human pose estimation (HPE) methods exploit multi-scale information by fusing feature maps of four different spatial sizes, \ie , , , and of th…

cs.CV2021

GAIA: A Transfer Learning System of Object Detection that Fits Your Needs

Xingyuan Bu, Junran Peng, Junjie Yan +2

Transfer learning with pre-training on large-scale datasets has played an increasingly significant role in computer vision and natural language processing recently. However, as the…

cs.CV2021★ 6 cited

Transferable Sparse Adversarial Attack

Ziwen He, Wei Wang, Jing Dong +1

Deep neural networks have shown their vulnerability to adversarial attacks. In this paper, we focus on sparse adversarial attack based on the norm constraint, which can su…

cs.CV2021

Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images

Wentao Chen, Chenyang Si, Wei Wang +3

Few-shot learning is a challenging task since only few instances are given for recognizing an unseen class. One way to alleviate this problem is to acquire a strong inductive bias…

cs.CV2021★ 30 cited

End-to-end Alternating Optimization for Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li +2

Previous methods decompose the blind super-resolution (SR) problem into two sequential steps: \textit{i}) estimating the blur kernel from given low-resolution (LR) image and \texti…

cs.CV2021★ 2 cited

Robust Face-Swap Detection Based on 3D Facial Shape Information

Weinan Guan, Wei Wang, Jing Dong +2

Maliciously-manipulated images or videos - so-called deep fakes - especially face-swap images and videos have attracted more and more malicious attackers to discredit some key figu…

cs.CV2021★ 3 cited

SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer

Yueming Lyu, Jing Dong, Bo Peng +2

In recent years, virtual makeup applications have become more and more popular. However, it is still challenging to propose a robust makeup transfer method in the real-world enviro…

cs.CV2021★ 11 cited

Locate then Segment: A Strong Pipeline for Referring Image Segmentation

Ya Jing, Tao Kong, Wei Wang +3

Referring image segmentation aims to segment the objects referred by a natural language expression. Previous methods usually focus on designing an implicit and recurrent feature in…

cs.CV2021★ 2 cited

Learning Domain Invariant Representations for Generalizable Person Re-Identification

Yi-Fan Zhang, Zhang Zhang, Da Li +3

Generalizable person Re-Identification (ReID) has attracted growing attention in recent computer vision community. In this work, we construct a structural causal model among identi…

cs.CV2021★ 68 cited

Focal and Efficient IOU Loss for Accurate Bounding Box Regression

Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang +3

In object detection, bounding box regression (BBR) is a crucial step that determines the object localization performance. However, we find that most previous loss functions for BBR…