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CVIP's Projects

rotate-yolov3 icon rotate-yolov3

Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).

rotationdetection icon rotationdetection

This is a tensorflow-based rotation detection benchmark, also called UranusDet.

rp-r-cnn icon rp-r-cnn

Renovating Parsing R-CNN for Accurate Multiple Human Parsing

rpcf icon rpcf

Code for the paper 'ROI Pooled Correlation Filters for Visual Tracking' (CVPR 2019)

rpg_timelens icon rpg_timelens

Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

rq-transformer icon rq-transformer

Implementation of RQ Transformer, proposed in the paper "Autoregressive Image Generation using Residual Quantization"

rrin icon rrin

PyTorch Implementation of "Video Frame Interpolation via Residue Refinement"

rrm icon rrm

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

rrpn icon rrpn

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

rs-nets icon rs-nets

[ECCV 2020] Official repository of "Resolution Switchable Networks for Runtime Efficient Image Recognition" , in PyTorch and TensorFlow

rsc icon rsc

This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

rscd icon rscd

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes (CVPR2021)

rtaa icon rtaa

[ECCV2020] Robust Tracking against Adversarial Attacks

rtd-action icon rtd-action

[ICCV 2021] Relaxed Transformer Decoders for Direct Action Proposal Generation

rtfm icon rtfm

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

ruhsnet icon ruhsnet

Code for the paper RUHSNet: 3D Object Detection Using Lidar Data in Real Time

rvidenet icon rvidenet

Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. CVPR 2020

rvmde icon rvmde

RVMDE : Radar Validated Monocular Depth Estimation for Robotics

rvos icon rvos

RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)

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