iVMCL

AOGNets

Official implementation for our CVPR19 paper, AOGNets: Compositional Grammatical Architectures for Deep Learning

LostGANs

Official implementation of our ICCV19 paper "Image Synthesis From Reconfigurable Layout and Style"

AOGNet-v2

Official implementation of AOGNets and Attentive Normalization.

AttentiveNorm_Detection

AttentiveNorm_Detection(built on Open MMLab Detection Toolbox and Benchmark)

PaCaViT

PyTorch implementation of PaCa-ViT (CVPR'23)

iVMCL-Release

Codes for projects by the iVMCL group at NC State

iRCNN

PyTorch code for our ICCV19 paper "Towards Interpretable Object Detection by Unfolding Latent Structures" . (to be released during the conference, 10/28-11/01)

afm_cvpr2019

Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)

AdversariallyRobustStereo

hawp

Holistically-Attracted Wireframe Parsing

CGBA

gift

GIFT: Generative Interpretable Fine-Tuning

HoW-3D

This is the official implementation code of the paper: HoW-3D: Holistic 3D Wireframe Perception from a Single Image

Level-S2FM_official

This is the official codes for "Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces" accepted as CVPR2023.

local_clustering_with_mt_for_ssl

logocap

Offical code of LOGO-CAP (CVPR' 22). https://arxiv.org/abs/2109.03622

MonoCon

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

monoxiver

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver (ICCV'23)

neat

NEAT: Distilling 3D Wireframes from Neural Attraction Fields (CVPR 2024)

NopeSAC

[TPAMI'23] NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction

PlaneTR3D

[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

quadattack