[ICCV 2019] Monocular depth estimation from a single image

Official Implementation of CVPR24 highlight paper: Matching Anything by Segmenting Anything

Probing the representations of Vision Transformers.

[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.

Self-Supervision for Named Entity Disambiguation at the Tail

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Learning trajectory representations using self-supervision and programmatic supervision.

Unofficial Implementation: Learning Self-Consistency for Deepfake Detection

Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]

[ICCV2025] LRS4Fusion: Self-Supervised Sparse Sensor Fusion for Long Range Perception

Self-Supervised RGBD Reconstruction from Brain Activity

[ICLR 2023] Link Prediction with Non-Contrastive Learning

A Collection of Data sets and Approaches to UAD in Brain MRI.

Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

This is the code for my master thesis.

Self-supervised monocular depth estimation