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Lai Jiang's Projects

auto-attack icon auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

buaathesis icon buaathesis

北航研究生学位论文模板(Word+LaTeX).

clevr-dataset-gen icon clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

convolutional-lstm-in-tensorflow icon convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

davsod icon davsod

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Oral)

deblurganv2 icon deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deepsc-covid icon deepsc-covid

The implementation of our paper 'A Joint Deep Learning Model of 3D Lesion Segmentation and Classification for COVID-19 Diagnosis'

drit icon drit

Learning diverse image-to-image translation from unpaired data

dtcwt icon dtcwt

Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB

dtcwt_matlab icon dtcwt_matlab

The MATLAB source for the DTCWT toolbox (1,2,3)D and keypoints.

flownet2-pytorch icon flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2-tf icon flownet2-tf

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

foolbox icon foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

gaze-shift-net icon gaze-shift-net

Code for the ECCV 2020 paper: `Look here! A learning based approach to redirect visual attention'

generative_inpainting icon generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

graph-rcnn.pytorch icon graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

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