DepuMeng's repositories
ConditionalDETR
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
BEVHeight
An official code release of our CVPR'23 paper, BEVHeight
deppmeng.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
detrex
IDEA Open Source Toolbox for Transformer Based Object Detection Algorithms
DriveLikeAHuman
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
giraffe
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
liquidctl
Cross-platform CLI and Python drivers for AIO liquid coolers and other devices
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
mmdetection
OpenMMLab Detection Toolbox and Benchmark
mmflow
OpenMMLab optical flow toolbox and benchmark
MotionNet
Repository for reproducing MotionNet
MulimgViewer
MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
pytorch_cluster
PyTorch Extension Library of Optimized Graph Cluster Algorithms
SparseFusion
[ICCV 2023] SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
TransFusion
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/