output
20112022
most citedLocally Weighted Ensemble Clustering

379 citations

Showing cs.CVShow all

8 papers · 1 filter

cs.CV2022★ 6 cited

Cross-Camera Trajectories Help Person Retrieval in a Camera Network

Xin Zhang, Xiaohua Xie, Jianhuang Lai +1

We are concerned with retrieving a query person from multiple videos captured by a non-overlapping camera network. Existing methods often rely on purely visual matching or consider…

cs.CV2022★ 193 cited

Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation

Qi Chen, Lingxiao Yang, Jianhuang Lai +1

Weakly Supervised Semantic Segmentation (WSSS) based on image-level labels has attracted much attention due to low annotation costs. Existing methods often rely on Class Activation…

cs.CV2022★ 155 cited

Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering

Xiaosha Cai, Dong Huang, Guang-Yu Zhang +1

Multi-view subspace clustering aims to discover the hidden subspace structures from multiple views for robust clustering, and has been attracting considerable attention in recent y…

cs.CV2021

Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection

Peijia Chen, Jianhuang Lai, Guangcong Wang +1

Video salient object detection (VSOD) aims to locate and segment the most attractive object by exploiting both spatial cues and temporal cues hidden in video sequences. However, sp…

cs.CV2019

Universal Physical Camouflage Attacks on Object Detectors

Lifeng Huang, Chengying Gao, Yuyin Zhou +4

In this paper, we study physical adversarial attacks on object detectors in the wild. Previous works mostly craft instance-dependent perturbations only for rigid or planar objects.…

cs.CV2018★ 29 cited

ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

Ning Liu, Yongchao Long, Changqing Zou +3

We propose an attention-injective deformable convolutional network called ADCrowdNet for crowd understanding that can address the accuracy degradation problem of highly congested n…

cs.CV2018★ 27 cited

IGCV: Interleaved Structured Sparse Convolutional Neural Networks

Guotian Xie, Jingdong Wang, Ting Zhang +3

In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels. In add…

cs.CV2017★ 14 cited

Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos

Chunchao Guo, Jianhuang Lai, Xiaohua Xie

We present a novel method of integrating motion and appearance cues for foreground object segmentation in unconstrained videos. Unlike conventional methods encoding motion and appe…