Update members

mint-lab/alumni.md

@@ -4,7 +4,7 @@ title : Alumni
 permalink: /alumni/
 ---
 ## Graduate Alumni
-* **Choi, Jun Hyeok** [[Github]](https://github.com/cjh1995-ros) (graduated in February 2023)
+* **Choi, Jun Hyeok** [[Github]](https://github.com/cjh1995-ros) (graduated in February 2024)
   * Master Student (February 2022 - February 2024)
     * Thesis) Urban Camera Network Calibration with Satellite Images
   * Contribution: Urban Camera Network Calibration, RGB-D Structure-from-Motion, [3dv_tutorial](https://github.com/mint-lab/3dv_tutorial), [zero-shot-calibration](https://github.com/mint-lab/zero-shot-calibration), [sensorpy](https://github.com/mint-lab/sensorpy)
@@ -14,16 +14,16 @@ permalink: /alumni/
 
 
 ## Undergraduate Alumni
-* **Hwang, Hyunkil** [[Github]](https://github.com/Hyunkil76) (graduated in February 2023)
-  * Undergraduate Student (February 2022 - May 2024)
-  * Contribution: [PlaneFill](https://github.com/mint-lab/PlaneFill), [SurfaceGPS](https://github.com/mint-lab/surface_gps/), [mint-cart-ros](https://github.com/mint-lab/mint_cart_ros), [sensorpy](https://github.com/mint-lab/sensorpy)
+* **Hwang, Hyunkil** [[Github]](https://github.com/Hyunkil76) (graduated in February 2024)
+  * Undergraduate Student (February 2022 - June 2024)
+  * Contribution: [PlaneFill](https://github.com/mint-lab/PlaneFill), [SurfaceGPS](https://github.com/mint-lab/surface_gps/), [sensorpy](https://github.com/mint-lab/sensorpy), [mint-cart-ros](https://github.com/mint-lab/mint_cart_ros), [mint-tools_ros](https://github.com/mint-lab/mint_tools_ros)
     * Note) The father of _Hwang Cart_
   * Next: Graduate School at University of Delaware
-* **Shin, Hyun Gyu** [[Github]](https://github.com/ufshg) (graduated in February 2023)
+* **Shin, Hyun Gyu** [[Github]](https://github.com/ufshg) (graduated in February 2024)
   * Undergraduate Student (2022-Summer/Fall, 2023-Winter)
   * Contribution: On-plane Visual Geometry, Coverage Planning
   * Next: [goorm](https://www.goorm.io/)
-* **Choi, Haesol** [[Github]](https://github.com/NyaNyak) (graduated in February 2023)
+* **Choi, Haesol** [[Github]](https://github.com/NyaNyak) (graduated in February 2024)
   * Undergraduate Student (2022-Summer/Fall, 2023-Winter)
   * Contribution: On-plane Visual Geometry, Multi-object Tracking
   * Next: Family Business

mint-lab/members.md

@@ -29,11 +29,3 @@ permalink: /members/
   * Master Student (joined since February 2024)
   * Research Interests: Visual SLAM
   * E-mail: <[email protected]>
-
-
-
-## Undergraduate Students
-* **Kang, San** [[Blog]](https://blog.naver.com/ks610126)
-  * Undergraduate Student (2022-Summer)
-  * Research Interest: Artificial Intelligence
-  * E-mail: <[email protected]>

mint-lab/teaching.md

@@ -18,7 +18,7 @@ permalink: /teaching/
 * This course provides an introduction to open-source software (shortly OSS) which has been significantly utilized in recent IT industries. This course explains about representative OSS tools/examples and stimulates students to start their own OSS project. At first, this course starts with **learning [Python programming language](https://www.python.org/)** and tries to build experiences of Python-based OSS such as [NumPy](https://numpy.org/)/[SciPy](https://scipy.org/) (for scientific computing), [scikit-learn](https://scikit-learn.org/) (for machine learning), and [PyTorch](https://pytorch.org/) (for deep learning). Beyond usage of those OSS tools, this course aims students to **understand important mathematical concepts intuitively** and **build basic background of machine learning and deep learning**.
 * Course materials: OSS/Git, [prog_meets_math](https://github.com/mint-lab/prog_meets_math), [dl_tutorial](https://github.com/mint-lab/dl_tutorial)
 * Course code: 109075/109833 (for 2nd- and 3rd-year CSE students)
-* History: 2021-Fall, 2022-Fall, 2023-Fall
+* History: 2021-Fall, 2022-Fall, 2023-Fall, 2024-Fall
 
 ### Computer Vision (shortly CV)
 > Understanding CV and Making My CV Project!
@@ -38,7 +38,7 @@ permalink: /teaching/
 * This course covers **fundamental theories of classic visual geometry** and **recent learning-based 3D vision techniques**. This course provides single-view geometry, two-view geometry, multi-view geometry, and correspondence problems including camera calibration, relative pose estimation, triangulation, bundle adjustment, Bayesian filtering, structure-from-motion, and visual SLAM. This course also deals with 3D object detection/tracking, neural radiance field (NeRF), and so on.
 * Course code: 9441076 (for graduate students)
 * Course materials: [3dv_tutorial](https://github.com/mint-lab/3dv_tutorial), [filtering_tutorial](https://github.com/mint-lab/filtering_tutorial)
-* History: 2022-Fall, 2023-Fall
+* History: 2022-Fall, 2023-Fall, 2024-Fall*
 
 
 

mint-lab/visitors.md

@@ -16,4 +16,8 @@ permalink: /visitors/
 * **Bae, Juhyun** [[Github]](https://github.com/qowngus33) [[Blog]](https://kk-eezz.tistory.com)
   * Undergraduate Student (2022-Summer)
   * Contribution: Visual Parking Lot Mapping
-  * E-mail: <[email protected]>
+  * E-mail: <[email protected]>
+* **Kang, San** [[Blog]](https://blog.naver.com/ks610126)
+  * Undergraduate Student (2022-Summer)
+  * Contribution: Visual Parking Lot Mapping
+  * E-mail: <[email protected]>