Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution

Implementation of "I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors" (CVPR 2021)

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

[CVPR 2021] Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses

Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

[CVPR 2021: Oral] In this work, we show that high frequency Fourier spectrum decay discrepancies are not inherent characteristics for existing CNN-based generative models.

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)

Pytorch implementation for M^3L. CVPR 2021

Code for our CVPR 2021 Paper "Self-Supervised Learning for Semi-Supervised Temporal Action Proposal".

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Implementation of "Bidirectional Projection Network for Cross Dimension Scene Understanding" CVPR 2021 (Oral)

💭 Intentonomy: towards Human Intent Understanding [CVPR 2021]

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

Entry for CL vision workshop CVPR@21 under name Real-Deel https://eval.ai/web/challenges/challenge-page/829/overview