Image Segmentation, Gait Recognition, and Person ReID. Yes! Above photo is segmented by our methods.
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Assessing your cultural and operational fit
CRIPAC
Data Scientist
June 25, 2026 – Present
BCM
November 25, 2021 – August 8, 2023
Code of PyTorch implementation of 'Weakly Supervised Semantic Segmentation via Box-driven Masking and Filling Rate Shifting'
View ProjectGaitNet
April 23, 2019 – January 28, 2023
An End-to-end Network for Gait Based Human Identification
View ProjectMGCAM
June 8, 2018 – September 20, 2018
Mask data and code for 'Mask-guided Contrastive Attention Model for Person Re-Identification' (CVPR-2018)
View ProjectGaitRecognition
November 25, 2016 – February 23, 2021
Gait demo for tutorial of ICPR 2016
View ProjectDeepClustering
February 5, 2015 – February 5, 2015
Auto-encoder Based Data Clustering Toolkit
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong focus on academic and research-oriented tasks, which aligns well with roles requiring deep analytical work and innovation. The diversity of projects within computer vision (person re-identification, gait recognition, semantic segmentation) suggests adaptability and a broad interest in the field. However, the lack of collaborative or team-based project descriptions makes it difficult to assess team collaboration fit. The candidate's current role as 'Data Scientist' at CRIPAC aligns directly with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.