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CVIP's Projects

bsrgan icon bsrgan

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the testing code!

buifd icon buifd

(TIP 2020) Blind Universal Image Fusion Denoiser

byol-pytorch icon byol-pytorch

PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

bytetrack icon bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

c-hoi icon c-hoi

Cascaded Human-Object Interaction Recognition (CVPR2020)

c2-matching icon c2-matching

Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.

c2f-fwn icon c2f-fwn

data/code repository of "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer"

c2gan icon c2gan

[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

c3-gan icon c3-gan

Official Pytorch implementation of C3-GAN (Spotlight at ICLR 2022)

ca-net icon ca-net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

cacl icon cacl

[CVPR 2022] Cross-Architecture Self-supervised Video Representation Learning

cadc icon cadc

source codes of "Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection" (ICCV2021)

cae icon cae

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

caf icon caf

The offical Pytorch code for "Continual Attentive Fusion for Incremental Learning in Semantic Segmentation"

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-cvprw15 icon caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

caffe-segnet icon caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

cag_uda icon cag_uda

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

cain icon cain

Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"

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