• Publications
  • Influence
Scalable Person Re-identification: A Benchmark
TLDR
This paper contributes a new high quality dataset for person re-identification, named "Market-1501". Expand
  • 1,794
  • 621
  • PDF
Learning to Detect a Salient Object
  • T. Liu, Zejian Yuan, +4 authors H. Shum
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 February 2011
In this paper, we study the salient object detection problem for images. We formulate this problem as a binary labeling task where we separate the salient object from the background. We propose a setExpand
  • 2,176
  • 335
  • PDF
MARS: A Video Benchmark for Large-Scale Person Re-Identification
TLDR
We introduce a new video re-id dataset, named Motion Analysis and Re-identification Set (MARS), a video extension of the Market-1501 dataset. Expand
  • 576
  • 190
  • PDF
Deep High-Resolution Representation Learning for Human Pose Estimation
TLDR
We present a novel architecture, namely HighResolution Net (HRNet), which is able to maintain highresolution representations through the whole process. Expand
  • 671
  • 171
  • PDF
Salient Object Detection: A Discriminative Regional Feature Integration Approach
TLDR
We present a principled extension, supervised feature integration, which learns a random forest regressor to discriminatively integrate the saliency features for saliency computation. Expand
  • 818
  • 167
  • PDF
Deep High-Resolution Representation Learning for Visual Recognition
TLDR
We present a novel architecture, namely High-Resolution Network (HRNet), which is able to maintain high-resolution representations through the whole process. Expand
  • 286
  • 67
  • PDF
Automatic salient object segmentation based on context and shape prior
TLDR
We propose a novel automatic salient object segmentation algorithm which integrates both bottom-up salient stimuli and object-level shape prior, i.e., a salient object has a well-defined closed boundary. Expand
  • 442
  • 56
  • PDF
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
TLDR
In this paper, we propose a multi-task deep saliency model based on a fully convolutional neural network with global input (whole raw images) and global output, which investigates the feature-sharing properties of salient object detection and semantic image segmentation. Expand
  • 396
  • 56
  • PDF
Deeply-Learned Part-Aligned Representations for Person Re-identification
TLDR
In this paper, we address the problem of person re-identification, which refers to associating the persons captured from different cameras. Expand
  • 477
  • 50
  • PDF
High-Resolution Representations for Labeling Pixels and Regions
TLDR
We introduce a simple modification by exploring the representations from all the high-to-low resolution parallel convolutions in parallel and apply it to a wide range of vision tasks. Expand
  • 171
  • 48
  • PDF
...
1
2
3
4
5
...