a1600012888 Goto Github PK

a1600012888.github.io

Personal website

adversarial_image_defenses

Countering Adversarial Image using Input Transformations.

adversarialtraining

This is an implementation of AdversarialTraining against popular adversaries.

analyzing-physical-impacts-using-transient-surface-wave-imaging

Source code for CVPR 2023 paper: Analyzing Physical Impacts using Transient Surface Wave Imaging

arxiv2020-rife

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

base_model

Base models written mainly in pytorch

bmaml

Re-implement of Bayesian Model-Agnostic Meta-Learning

cifarexps

Adversarial training experiments in CIFAR

clsa_pytorch

Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code

cvdl20-example-code

Some basic dl model training code for students in CVDL20

cvpods

All-in-one Toolbox for Computer Vision Research.

ddn-maskrcnn_benchmark

detr3d

fairseq

Modified upon fairseq

gradtv

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jekyll-embed-video

Embed videos in Jekyll webpages without a plugin (Youtube, Vimeo, Twitch, Streamable, Mixer, Google Drive clips + more)

little_inpainting

Using toy model doing some experiments

maskgan

work in progress

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmdet3d-plugin

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mutr3d

Code for Paper, MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. https://tsinghua-mars-lab.github.io/mutr3d/

my_snip

Code snippets I frequently use for Deeplearning projects

ompi

Open MPI main development repository

photographic-image-synthesis-pytorch-s-implementation

Reimplementation of Photographic Image Synthesis with Cascaded Refinement Networks(https://arxiv.org/abs/1707.09405) in pytorch

physdreamer

Code for PhysDreamer

rife_page

run_time

Test the running time of dynamic nets

saliency

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

scene_cls_cvdl

Homework of computer vision and deep learning(course web: http://muyadong.com/cvdl18.html)