VIML_CVDL: Computer Vision and Deep Learning
We are Vision & Interactive Media Laboratory (VIML), Computer Vision and Deep Learning (CVDL) Group, located at the National University of Singapore.
National University of Singapore, Singapore
Pinned Repositories
3D-Multi-Person-Pose
DC-ShadowNet-Hard-and-Soft-Shadow-Removal
This repository contains the code and models for the following paper.
DeS3_Deshadow
FogRemoval
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
GnTCN
night-enhancement
Implementation of paper "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression" (ECCV22)
NightTime_Datasets
Repository containing a list of labelled/unlabelled nighttime datasets
nighttime_dehaze
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution"
Object-Detection-in-Foggy-Scenes
RaindropClarity
[ECCV2024] "Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal", https://arxiv.org/abs/2407.16957
VIML_CVDL: Computer Vision and Deep Learning's Repositories
VIML-CVDL/Object-Detection-in-Foggy-Scenes
VIML-CVDL/night-enhancement
Implementation of paper "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression" (ECCV22)
VIML-CVDL/3D-Multi-Person-Pose
VIML-CVDL/NightTime_Datasets
Repository containing a list of labelled/unlabelled nighttime datasets
VIML-CVDL/GnTCN
VIML-CVDL/DC-ShadowNet-Hard-and-Soft-Shadow-Removal
This repository contains the code and models for the following paper.
VIML-CVDL/DeS3_Deshadow
VIML-CVDL/FogRemoval
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
VIML-CVDL/nighttime_dehaze
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution"
VIML-CVDL/RaindropClarity
[ECCV2024] "Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal", https://arxiv.org/abs/2407.16957
VIML-CVDL/S-Aware-network
AAAI22, Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
VIML-CVDL/2pcnet
VIML-CVDL/5731
VIML-CVDL/AttGAN_DeRaindrop
VIML-CVDL/awesome-autonomous-driving-datasets
an awesome list of autonomous driving datasets
VIML-CVDL/Awesome-Nighttime-Enhancement
Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.
VIML-CVDL/CVPR-2020-Self-Rain-Removal
VIML-CVDL/CVPR-2020-Self-Rain-Removal-Journal
VIML-CVDL/EqMotion
[CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
VIML-CVDL/EZ-HOI
[NeurIPS 2024] Official code for paper "EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection"
VIML-CVDL/HeavyRainRemoval
An implementation of paper "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning" (CVPR19)
VIML-CVDL/JORDER-E-Deep-Image-Deraining-TPAMI-2019-Journal
VIML-CVDL/knowledge-distillation-papers
knowledge distillation papers
VIML-CVDL/LUQ-Bongard
This is the official code for paper "Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI" [AAAI2024]
VIML-CVDL/NighttimeDepthandFlow
Codes for the paper - Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations, arXiv'19
VIML-CVDL/Recurrent-Multi-Frame-Deraining
VIML-CVDL/Resource
Benchmarks, Datasets, Papers
VIML-CVDL/RetinexNet_PyTorch
Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18
VIML-CVDL/Self-Aligned-Video-Deraining-with-Transmission-Depth-Consistency
Self-Aligned Video Deraining with Transmission-Depth Consistency
VIML-CVDL/TalkLip