layout | title | nav_order | permalink | has_children |
---|---|---|---|---|
default |
Home |
1 |
/ |
true |
--- 2024 ---
Update Oct. 22nd: My paper was presented at ISVC 24' (Lake Tahoe, NV).
--- 2023 ---
Update Jun. 20th: I joined SoFi as a full-time software engineer.
Update Feb. 26th: My team won the best beginner hack at 2023 Columbia ADI Devfest Hackathon!
Update Jan. 26th: I was hired as an associate at Electrical Engineering department for assistance in course ELEN 6889 in large scale stream processing.
--- 2022 ---
Update Sep. 12th: I accepted part-time software internship offer from AIModelShare Initiative developed by ISERP, Columbia University and am expected to focus on deep learning library infrastructure.
Update Sep. 6th: I was elected as a teaching assistant of COMS 4995 in Deep Learning for Computer Vision at Columbia University.
Update Aug. 29th: I had completed my internship exit talk and my bag of tricks (BoT) for multi-target multi-camera (MTMC) people warehouse tracking can improve IDF1 from 40% to 81%+!
Update Apr. 4th: I accepted software summer internship offer from Metropolis, NVIDIA and am expected to start in late May!
Update Mar. 31st: I published a technical blog of object detection with transformer on Medium.
Update Jan. 28th: I was elected as a teaching assistant of COMS 4732 in Computer Vision II: Learning at Columbia University. I have regular office hour on Monday afternoon.
Update Jan 27th: I accepted the offer as a research assistant at Kostic Lab in spring semester, 2022, working with Prof. Zoran Kostic. I am working on multi-camera object re-identification problem. I created a testset around campus.