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Name: VIML_CVDL: Computer Vision and Deep Learning

Type: Organization

Bio: We are Vision & Interactive Media Laboratory (VIML), Computer Vision and Deep Learning (CVDL) Group, located at the National University of Singapore.

Location: National University of Singapore, Singapore

Blog: https://tanrobby.github.io/

VIML_CVDL: Computer Vision and Deep Learning's Projects

deraindrop icon deraindrop

Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

eqmotion icon eqmotion

[CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

fogremoval icon fogremoval

[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal

heavyrainremoval icon heavyrainremoval

An implementation of paper "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning" (CVPR19)

luq-bongard icon luq-bongard

This is the official code for paper "Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI" [AAAI2024]

night-enhancement icon night-enhancement

Implementation of paper "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression" (ECCV22)

nighttime_dehaze icon nighttime_dehaze

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution"

nighttimedepthandflow icon nighttimedepthandflow

Codes for the paper - Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations, arXiv'19

rainstreakgen icon rainstreakgen

Code for Generating Rain Streaks for paper "Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network"

retinexnet_pytorch icon retinexnet_pytorch

Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18

s-aware-network icon s-aware-network

AAAI22, Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning

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