• Publications
  • Influence
Saliency Detection via Graph-Based Manifold Ranking
TLDR
In this paper, we focus on the bottom-up salient object detection tasks. Expand
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Visual tracking via adaptive structural local sparse appearance model
TLDR
In this paper we develop a simple yet robust tracking method based on the structural local sparse appearance model based on a novel alignment-pooling method. Expand
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Robust object tracking via sparsity-based collaborative model
TLDR
In this paper we propose a robust object tracking algorithm using a collaborative model that exploits both holistic templates and local representations. Expand
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The Visual Object Tracking VOT2016 Challenge Results
TLDR
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Expand
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Learning to Detect Salient Objects with Image-Level Supervision
  • L. Wang, H. Lu, +4 authors X. Ruan
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 21 July 2017
TLDR
We leverage the observation that image-level tags provide important cues of foreground salient objects, and develop a weakly supervised learning method for saliency detection using image- level tags only. Expand
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Saliency Detection via Dense and Sparse Reconstruction
TLDR
In this paper, we propose a visual saliency detection algorithm from the perspective of reconstruction errors. Expand
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Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
TLDR
In this paper, we present Amulet, a generic aggregating multi-level convolutional feature framework for salient object detection. Expand
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Visual Tracking with Fully Convolutional Networks
TLDR
We conduct in-depth study on the properties of CNN features offline pre-trained on massive image data and classification task on ImageNet. Expand
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Saliency detection via Cellular Automata
TLDR
In this paper, we introduce Cellular Automata-a dynamic evolution model to intuitively detect the salient object. Expand
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Saliency Detection via Absorbing Markov Chain
TLDR
In this paper, we formulate saliency detection via absorbing Markov chain on an image graph model. Expand
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