Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part IX
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Han**g Wang
Computer Imaging, Vision, Pattern Recognition and Graphics
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Article
Robust Heterogeneous Model Fitting for Multi-source Image Correspondences
Traditional feature detection and description methods, such as scale-invariant feature transform, are susceptible to nonlinear radiation distortions (NRDs) and geometric distortions (GDs), which in turn genera...
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Article
Visual inspection via a global-to-local optimization method for agarwood sticks
Chemical composition analysis, chromatography and spectroscopy are dominate quality evaluation methods for agarwood, which are cumbersome and time-consuming. To facilitate its quality evaluation, a global-to-l...
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Book and Conference Proceedings
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part I
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part X
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part V
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part IV
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part XI
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part II
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part VII
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part VI
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part III
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part XII
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part XIII
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Book and Conference Proceedings
Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part VIII
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Chapter and Conference Paper
OctPCGC-Net: Learning Octree-Structured Context Entropy Model for Point Cloud Geometry Compression
In Point Cloud Geometry Compression (PCGC), an accurate context entropy model is necessary to reduce spatial redundancy. The octree-based auto-regressive context entropy model has great potential to explore la...
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Chapter and Conference Paper
An Effective Dynamic Reweighting Method for Unbiased Scene Graph Generation
Despite the remarkable advancements in Scene Graph Generation (SGG) in recent years, the precise capture and modeling of long-tail object relationships remain persistent challenges in the field. Conventional m...
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Chapter and Conference Paper
Spatio-Temporal Self-supervision for Few-Shot Action Recognition
Few-shot action recognition aims to classify unseen action classes with limited labeled training samples. Most current works follow the metric learning technology to learn a good embedding and an appropriate c...
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Chapter and Conference Paper
Cascaded-Scoring Tracklet Matching for Multi-object Tracking
Multi-object tracking (MOT) aims at locating the object of interest in a successive video sequence and associating the same moving object frame by frame. Most existing approaches to MOT lack the integration of...
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Chapter and Conference Paper
Joint Relation Modeling and Feature Learning for Class-Incremental Facial Expression Recognition
Due to the diversity of human emotions, it is often difficult to collect all the expression categories at once in many practical applications. In this paper, we investigate facial expression recognition (FER) ...
