
Accurate and robust detection of objects from
monocular images is a fundamental vision task. This paper
describes a novel approach of holistic scene understanding that
can simultaneously achieve multiple tasks of scene reconstruction
and object detection from a single monocular image. Rather than
pursuing an independent solution for each individual task as
most existing work does, we seek a globally optimal solution that
holistically resolves the multiple perception and reasoning tasks
in an effective manner. The approach explores the complementary
properties of multimodal RGB images and depth data to improve
scene perception tasks. It uniquely combines the techniques
of canonical correlation analysis and deep learning to learn
the most correlated features to maximize the modal crosscorrelation
for improving performance and robustness of object
detection in complex environments. Extensive experiments have
been conducted to evaluate and demonstrate the performances
of the proposed approach.

Object Detection on Monocular Images with Two-Dimensional Canonical Correlation Analysis

**Session Chair**: prof. Federico Pernici

PS T3.2: Computer Vision and GANs

poster

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


Zifan Yu

1

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Object Detection on Monocular Images with Two-Dimensional Canonical Correlation Analysis

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