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Simon Fraser University
Data Scientist
June 25, 2026 – Present
MVDiffusion_plusplus
February 13, 2024 – April 27, 2024
MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction
View ProjectMVDiffusion
June 27, 2023 – January 6, 2024
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, NeurIPS 2023 (spotlight)
View ProjectNeuMap
November 13, 2022 – November 16, 2023
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization, CVPR2023
View ProjectQuadTreeAttention
December 30, 2021 – April 23, 2024
QuadTree Attention for Vision Transformers (ICLR2022)
View ProjectDense-Scene-Matching
March 8, 2021 – April 4, 2023
Learning Camera Localization via Dense Scene Matching, CVPR2021
View ProjectCENet
June 28, 2020 – July 28, 2020
Channel Equilibrium Networks for Learning Deep Representation, ICML2020
View ProjectSemi-supervised-Adaptive-Distillation
August 27, 2018 – October 9, 2019
Semi-supervised Adaptive Distillation is a model compression method for object detection.
View ProjectClipShots_basline
August 12, 2018 – June 11, 2020
This is our implementation of deepSBD for ClipShots dataset.
View ProjectClipShots
July 25, 2018 – November 9, 2021
ClipShots is the first large-scale dataset for shot boundary detection collected from Youtube and Weibo covering more than 20 categories, including sports, TV shows, animals, etc.
View ProjectTSP-genetic-algorithm-and-Christofides-algorithm
July 6, 2017 – July 6, 2017
solving TSP problem using genetic algorithm and Christofides algorithm
View ProjectCultural Fit Analysis
The candidate's profile shows a strong focus on academic and research-oriented projects, primarily in computer vision and deep learning. While this indicates a deep technical interest, the lack of diverse project types (e.g., industry applications, data engineering, MLOps) and a single academic 'experience' entry makes it difficult to fully assess cultural fit for a typical industry Data Scientist role. The projects are highly specialized, which might indicate a preference for deep research over broader application development.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are technical and do not offer insights into collaboration, communication, or leadership styles.