Conference Information

CRV 2018: Conference on Robots and Vision

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Submission Date:
2018-02-09 Extended
Notification Date:
2018-03-11
Conference Date:
2018-05-09
Location:
Toronto, Ontario, Canada
Years:
15
Viewed: 23816   Tracked: 4   Attend: 0
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CRV
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Conference Partner Index (CP-I)

51.0 / 100
Ranked #1,393 of 5,697 conferences · Top 25%

#60 of 471 in Robotics & Control

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
75
Community attention (10%)
26
Public record completeness (15%)
40

Inputs used: Editions on record: 15 · Researchers following it here: 4 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-12

Call For Papers

CRV 2018 (Conference on Robots and Vision) is an academic conference held in Toronto, Ontario, Canada on 2018-05-09. The paper submission deadline is 2018-02-09 (extended). Acceptance notifications are sent on 2018-03-11.

CRV 2018 invites original, high quality paper submissions on the following topics: 3-D Point Clouds, Depth Cameras Early Vision Object Recognition and Detection Action Selection Environment Modeling Pattern Recognition Active Sensing Faces, Gestures, Crowds Perceptual Organization Activity Recognition Features, Detection, Description, Matching Real-Time Sensing Attention Field Robotics Reinforcement Learning Biologically Motivated Computer Vision Grasping Remote Sensing Biometrics Human-Robot Interaction Representation Learning Calibration Illumination and Reflectance Modeling Segmentation Camera Networks Image Retrieval Sensor Fusion Classification Learning from Sensors Video Analytics Clustering Machine Learning for Perception Sensor-Based Navigation Computational Photography Mapping, SLAM Shape Representation Contours Medical Imaging Single-View 3-D Reconstruction Control Architectures Mosaicking Software Tools for Vision & Robotics Convolutional Networks Motion and Tracking Video Analytics Document Analysis Multi-Robot Systems Vision for Autonomous Vehicles Domain Adaptation, Transfer Learning Multi-View 3-D Reconstruction Visual Servoing
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