SEMINAR

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays (MICCAI 2023) 

General Multi-label Image Classification with Transformers (CVPR 2021)

DiffuseMix:Label-Preserving Data Augmentation with Diffusion Models (CVPR 2024) 

SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework with Semantic Image Representation(IEEE, 2020) 

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations 

Diffuse, Attend, and Segment:Unsupervised Zero-Shot Segmentation using Stable Diffusion (CVPR 2024) 

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training(CVPR, 2023)

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations 

End-to-End Object Detection with Transformers (ECCV 2020) 

Diffuse, Attend, and Segment:Unsupervised Zero-Shot Segmentation using Stable Diffusion (CVPR 2024) 

Learning Transferable Visual Models From Natural Language Supervision (ICML, 2021) 

DDPM: Denoising Diffusion Probabilistic Model (NeurIPS, 2020) 

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (CVPR, 2021) 

End-to-End Object Detection with Transformers (ECCV 2020) 

DDPM: Denoising Diffusion Probabilistic Model (NeurIPS, 2020) 

Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification(ICCV 2023) 

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules (ACS, 2018) 

Towards End-to-End Image Compression and Analysis with Transformers (AAAI, 2022) 

Spatio-temporal graph mixformer for traffic forecasting(Expert Systems with Applications, Q1) 

Masked Autoencoders Are Scalable Vision Learners(CVPR, 2021) 

Are Transformers Effective for Time Series Forecasting?(AAAI, 2022) 

An Optimized Ensemble Framework for Multi-Label Classification on Long-Tailed Chest X-ray Data (ICCV 2023 Workshop) 

Query-Dependent Video Representation for Moment Retrieval and Highlight Detection(CVPR,2023) 

EfficientNet : Rethinking Model Scaling for Convolutional Neural Networks 

(ICML 2019)