Search Results for author: Nian Liu

Found 23 papers, 16 papers with code

Structured Attention Composition for Temporal Action Localization

2 code implementations20 May 2022 Le Yang, Junwei Han, Tao Zhao, Nian Liu, Dingwen Zhang

To tackle this issue, we make an early effort to study temporal action localization from the perspective of multi-modality feature learning, based on the observation that different actions exhibit specific preferences to appearance or motion modality.

Action Detection Temporal Action Localization

Learning Non-target Knowledge for Few-shot Semantic Segmentation

1 code implementation CVPR 2022 Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao

Then, a BG Eliminating Module and a DO Eliminating Module are proposed to successively filter out the BG and DO information from the query feature, based on which we can obtain a BG and DO-free target object segmentation result.

Contrastive Learning Few-Shot Semantic Segmentation +1

Debiased Graph Neural Networks with Agnostic Label Selection Bias

no code implementations19 Jan 2022 Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang

Then to remove the bias in GNN estimation, we propose a novel Debiased Graph Neural Networks (DGNN) with a differentiated decorrelation regularizer.

Selection bias

Compact Graph Structure Learning via Mutual Information Compression

1 code implementation14 Jan 2022 Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi

Furthermore, we maintain the performance of estimated views and the final view and reduce the mutual information of every two views.

Graph structure learning

Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance

1 code implementation2 Oct 2021 Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, Ling Shao

On the other hand, instead of processing the twokinds of data separately, we build a novel dual graph modelto guide the focal stack fusion process using all-focus pat-terns.

Graph Learning Saliency Detection

Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection

1 code implementation ICCV 2021 Ni Zhang, Junwei Han, Nian Liu, Ling Shao

In this paper, we propose a novel consensus-aware dynamic convolution model to explicitly and effectively perform the "summarize and search" process.

Co-Salient Object Detection

Instance-Level Relative Saliency Ranking with Graph Reasoning

no code implementations8 Jul 2021 Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao

Conventional salient object detection models cannot differentiate the importance of different salient objects.

Image Retargeting object-detection +2

Context-aware Cross-level Fusion Network for Camouflaged Object Detection

2 code implementations26 May 2021 Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu

Camouflaged object detection (COD) is a challenging task due to the low boundary contrast between the object and its surroundings.

object-detection Object Detection

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

3 code implementations19 May 2021 Xiao Wang, Nian Liu, Hui Han, Chuan Shi

Then the cross-view contrastive learning, as well as a view mask mechanism, is proposed, which is able to extract the positive and negative embeddings from two views.

Contrastive Learning

Visual Saliency Transformer

1 code implementation ICCV 2021 Nian Liu, Ni Zhang, Kaiyuan Wan, Ling Shao, Junwei Han

We also develop a token-based multi-task decoder to simultaneously perform saliency and boundary detection by introducing task-related tokens and a novel patch-task-attention mechanism.

Boundary Detection object-detection +3

Lorentzian Graph Convolutional Networks

no code implementations15 Apr 2021 Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song

We also find that the performance of some hyperbolic GCNs can be improved by simply replacing the graph operations with those we defined in this paper.

Weakly Supervised Video Salient Object Detection

1 code implementation CVPR 2021 Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han

Significant performance improvement has been achieved for fully-supervised video salient object detection with the pixel-wise labeled training datasets, which are time-consuming and expensive to obtain.

object-detection pseudo label +3

Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

1 code implementation12 Oct 2020 Nian Liu, Ni Zhang, Ling Shao, Junwei Han

Early fusion and the result fusion schemes fuse RGB and depth information at the input and output stages, respectively, hence incur the problem of distribution gap or information loss.

object-detection RGB-D Salient Object Detection +2

Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

1 code implementation CVPR 2020 Nian Liu, Ni Zhang, Junwei Han

Considering the reliability of the other modality's attention, we further propose a selection attention to weight the newly added attention term.

RGB-D Salient Object Detection Saliency Detection

Online Multi-Object Tracking with Dual Matching Attention Networks

1 code implementation ECCV 2018 Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang

In this paper, we propose an online Multi-Object Tracking (MOT) approach which integrates the merits of single object tracking and data association methods in a unified framework to handle noisy detections and frequent interactions between targets.

Multi-Object Tracking online learning +1

PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection

2 code implementations15 Dec 2018 Nian Liu, Junwei Han, Ming-Hsuan Yang

We propose three specific formulations of the PiCANet via embedding the pixel-wise contextual attention mechanism into the pooling and convolution operations with attending to global or local contexts.

object-detection RGB Salient Object Detection +3

A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection

2 code implementations6 Oct 2016 Nian Liu, Junwei Han

Furthermore, the proposed DSCLSTM model can significantly boost the saliency detection performance by incorporating both global spatial interconnections and scene context modulation, which may uncover novel inspirations for studies on them in computational saliency models.

Saliency Detection

DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

no code implementations CVPR 2016 Nian Liu, Junwei Han

Then a novel hierarchical recurrent convolutional neural network (HRCNN) is adopted to further hierarchically and progressively refine the details of saliency maps step by step via integrating local context information.

object-detection RGB Salient Object Detection +1

Predicting Eye Fixations Using Convolutional Neural Networks

no code implementations CVPR 2015 Nian Liu, Junwei Han, Dingwen Zhang, Shifeng Wen, Tianming Liu

It is believed that eye movements in free-viewing of natural scenes are directed by both bottom-up visual saliency and top-down visual factors.

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