PyTorch implementations of Generative Adversarial Networks.

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

scikit-learn cross validators for iterative stratification of multilabel data

Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”. (TMM2023)

(CVPR 2026) Official repository of paper "WeDetect: Fast Open-Vocabulary Object Detection as Retrieval"

Code for our CVPR 2019 work.

Official PyTorch implementation of the “Spatial-Semantic Collaborative Cropping for User Generated Content”. (AAAI24)

Official PyTorch implementation of the “Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation” (ICCV 2021)

My personal reading paper related to my research (cvpr, iccv, eccv, aaai, nips, etc.)

This is an official pytorch implementation for "DENet: Disentangled Embedding Network for Visible Watermark Removal" (AAAI23).

Official repository of paper "ObjEmbed: Towards Universal Multimodal Object Embeddings"

[AAAI20] Deep Object Co-segmentation via Spatial-Semantic Network Modulation(Oral paper)

The PyTorch Code for our paper "Dual Progressive Transformations for Weakly Supervised Semantic Segmentation"

Implementation of "Co-attention CNNs for Unsupervised Object Co-segmentation" paper

"General Object Pose Transformation Network from Unpaired Data” (ECCV2022)

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes