I traced the slowdown to Q/DQ placement and two TensorRT bugs, then wrote the placement myself on the FP16 graph. INT8 is now faster than FP16 at every size on an RTX 5070 (1.10–1.33×) and a Tesla T4 (1.11–1.21×), for 0.5–0.85 COCO AP points.
Hey, I’m Phu. This is a ‘Byte of Me’ — a small space on the internet where I share my journey and what I’ve been building.
You’ll never know how good you might have become unless you try.
— Mike Mentzer
Always interested in thoughtful projects and good collaboration.
I traced the slowdown to Q/DQ placement and two TensorRT bugs, then wrote the placement myself on the FP16 graph. INT8 is now faster than FP16 at every size on an RTX 5070 (1.10–1.33×) and a Tesla T4 (1.11–1.21×), for 0.5–0.85 COCO AP points.
29 merged pull requests across 3 projects
roboflow/rf-detr
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
roboflow/trackers
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
sunsmarterjie/yolov12
[NeurIPS 2025] YOLOv12: Attention-Centric Real-Time Object Detectors

2020 — 2024
Computer Science, Honors Program.
Focus: computer vision & vision–language models.


Achieved a score of 28.65/30.00 | Link.

2017 — 2020