twhui
Postdoctoral researcher in AI, computer vision, and image processing. Also experienced in electronics and robotics. *Welcome academic/commercial collaborations.
H-1 Research
Pinned Repositories
LiteFlowNet
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
liteflownet-tf2
LiteFlowNet inference realization with TensorFlow 2
LiteFlowNet2
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
LiteFlowNet2-TF2
LiteFlowNet2 implementation with TensorFlow 2
LiteFlowNet3
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020
MS-Net
MS-Net in Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
MSG-Net
Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
pytorch-liteflownet
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
RM-Depth
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes, CVPR 2022
SRGAN-PyTorch
An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
twhui's Repositories
twhui/LiteFlowNet
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
twhui/LiteFlowNet2
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
twhui/LiteFlowNet3
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020
twhui/MSG-Net
Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
twhui/SRGAN-PyTorch
An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
twhui/RM-Depth
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes, CVPR 2022
twhui/MS-Net
MS-Net in Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
twhui/pytorch-liteflownet
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
twhui/liteflownet-tf2
LiteFlowNet inference realization with TensorFlow 2
twhui/LiteFlowNet2-TF2
LiteFlowNet2 implementation with TensorFlow 2