H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 72 Citations 29,928 308 World Ranking 734 National Ranking 61

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Huchuan Lu mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Video tracking and Object detection. His works in Convolutional neural network, Feature extraction, Saliency map, Salience and Discriminative model are all subjects of inquiry into Artificial intelligence. His Convolutional neural network study integrates concerns from other disciplines, such as Channel, Kernel, Feature and Benchmark.

Huchuan Lu has included themes like Artificial neural network, Visualization, Eye tracking and Robustness in his Pattern recognition study. His study in Video tracking is interdisciplinary in nature, drawing from both Sparse approximation and Active appearance model. His Object detection study combines topics in areas such as Absorbing Markov chain, Divergence, Markov model and Discrete phase-type distribution.

His most cited work include:

  • Saliency Detection via Graph-Based Manifold Ranking (1537 citations)
  • Visual tracking via adaptive structural local sparse appearance model (1041 citations)
  • Robust object tracking via sparsity-based collaborative model (820 citations)

What are the main themes of his work throughout his whole career to date?

Huchuan Lu mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Feature and Eye tracking. His study involves Feature extraction, Video tracking, Image, Discriminative model and Object, a branch of Artificial intelligence. His Video tracking research is multidisciplinary, relying on both Sparse approximation and Robustness.

As a part of the same scientific family, Huchuan Lu mostly works in the field of Pattern recognition, focusing on Salience and, on occasion, Saliency map. His study looks at the relationship between Feature and topics such as Benchmark, which overlap with Pooling. His Eye tracking study incorporates themes from Tracking system and Minimum bounding box.

He most often published in these fields:

  • Artificial intelligence (95.03%)
  • Pattern recognition (61.88%)
  • Computer vision (44.75%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (95.03%)
  • Pattern recognition (61.88%)
  • Feature (19.34%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Pattern recognition, Feature, Computer vision and Benchmark are his primary areas of study. His Artificial intelligence study focuses mostly on RGB color model, Discriminative model, Image, Feature extraction and Convolutional neural network. His Feature extraction research incorporates themes from Depth map and Object detection.

His work in the fields of Image segmentation overlaps with other areas such as Boundary. His work on Pyramid as part of general Feature research is frequently linked to Structure, bridging the gap between disciplines. His research in the fields of Object, Segmentation, Video tracking and Tracking overlaps with other disciplines such as Process.

Between 2019 and 2021, his most popular works were:

  • Multi-Scale Interactive Network for Salient Object Detection (42 citations)
  • Select, Supplement and Focus for RGB-D Saliency Detection (26 citations)
  • A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection (24 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Huchuan Lu mainly investigates Artificial intelligence, Computer vision, Feature, Pattern recognition and RGB color model. His Artificial intelligence research focuses on Feature extraction, Benchmark, Discriminative model, Pyramid and Object. His research investigates the connection between Discriminative model and topics such as Eye tracking that intersect with problems in Visual perception and Saliency map.

His work in the fields of Image, Segmentation and Video tracking overlaps with other areas such as Process. His Feature research is multidisciplinary, incorporating perspectives in Encoder and Convolutional neural network. As part of his studies on Pattern recognition, he frequently links adjacent subjects like Salience.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Saliency Detection via Graph-Based Manifold Ranking

Chuan Yang;Lihe Zhang;Huchuan Lu;Xiang Ruan.
computer vision and pattern recognition (2013)

1711 Citations

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg.
european conference on computer vision (2016)

1423 Citations

Visual tracking via adaptive structural local sparse appearance model

Xu Jia;Huchuan Lu;Ming-Hsuan Yang.
computer vision and pattern recognition (2012)

1394 Citations

The Visual Object Tracking VOT2017 Challenge Results

Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg.
international conference on computer vision (2017)

1389 Citations

Robust object tracking via sparsity-based collaborative model

Wei Zhong;Huchuan Lu;Ming-Hsuan Yang.
computer vision and pattern recognition (2012)

1170 Citations

Visual Tracking with Fully Convolutional Networks

Lijun Wang;Wanli Ouyang;Xiaogang Wang;Huchuan Lu.
international conference on computer vision (2015)

852 Citations

Superpixel tracking

Shu Wang;Huchuan Lu;Fan Yang;Ming-Hsuan Yang.
international conference on computer vision (2011)

616 Citations

Saliency Detection via Dense and Sparse Reconstruction

Xiaohui Li;Huchuan Lu;Lihe Zhang;Xiang Ruan.
international conference on computer vision (2013)

599 Citations

Saliency Detection via Absorbing Markov Chain

Bowen Jiang;Lihe Zhang;Huchuan Lu;Chuan Yang.
international conference on computer vision (2013)

555 Citations

Saliency detection via Cellular Automata

Yao Qin;Huchuan Lu;Yiqun Xu;He Wang.
computer vision and pattern recognition (2015)

504 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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