ustc-imcc / paperreading-1

Paper Reading of IMCC groups.

About Us

We are the Intelligent Multimedia Content Computing (IMCC) Lab members at University of Science and Technology of China (USTC).

This paper reading report about Computer Vision, with special emphasis on Fine-grained Recognition, Weakly-supervised Learning, Causal Inference, Imperfect Data Learning and relevant topics. We aim to provide an opportunity for students, researchers and faculties to discuss and keep eyes on the current progress in Computer Vision, and to learn how to do high-quality research.

For any interest in our report or our lab, please contact Doctor Chuanbin Liu.

Format

Date	Presenter	Venue	Paper Title	Slides
2020.04.12	Chuanbin Liu	NeurIPS 2019	This Looks Like That: Deep Learning for Interpretable Image Recognition	Slides

• Date: The date of the report. Please arrange in reverse chronological order.
• Presenter: The presenter of the report. You can also provide your personal link.
• Venue: The Venue of the report.
• Paper Title: Provide the title and link of this paper.
• Slides: Please convert your .ppt document to .pdf document with name Presenter_Date (e.g. lcb_20200412), and keep it within 5M. As you know, GitHub limits the size of files and the storage of repositories. Also please upload your .ppt document to our tencent document.

Schedule

Date	Presenter	Venue	Paper Title	Slides
2023.05.23	Jingyua Xu	CVPR2023	Aligning Bag of Regions for Open-Vocabulary Object Detection	Slides
2023.05.15	Fanchao Lin	arxiv	A demo survey on recent fundamental models and applications	Slides
2023.04.27	Zhiying Lu	CVPR2023	Non-Global Attention Mechanisms In Vision Transformers	Slides
2023.04.10	Yunning Cao	arxiv	Segment Anything	Slides
2023.03.27	Yiwei Sun	-	How to help your ViT learn the inductive bias?	Slides
2023.03.20	Yunyan Yan	-	Regression: Representation Space	Slides
2023.03.13	Jingyuan Xu	ICLR 2023	F-VLM: OPEN-VOCABULARY OBJECT DETECTION UPON FROZEN VISION AND LANGUAGE MODELS	Slides
2023.03.06	Yixuan Zhang	ECCV 2022	Adaptive Token Sampling For Efficient Vision Transformers	Slides
2023.02.27	Fanchao Lin	NIPS 2022	Training language models to follow instructions with human feedback	Slides
2023.02.20	Yifan Gao	NIPS 2022	ConvMAE: Masked Convolution Meets Masked Autoencoders	Slides
2023.02.06	Yunyan Yan	CVPR 2022	A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty	Slides
2023.01.03	Yunning Cao	ICLR 2023	Image as Set of Points	Slides
2022.12.19	Yiwei Sun	-	A Survey on FGVC	Slides
2022.12.14	Fanchao Lin	CVPR 2022	Recurrent Dynamic Embedding for Video Object Segmentation	Slides
2022.12.05	Yunyan Yan	AAAI 2019	Gradient Harmonized Single-Stage Detector	Slides
2022.11.28	Yunning Cao	CVPR 2022	Fine-Grained Object Classification via Self-Supervised Pose Alignment	Slides
2022.11.28	Zhiying Lu	ECCV 2022	TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers	Slides
2020.04.12	Chuanbin Liu	NeurIPS 2019	This Looks Like That: Deep Learning for Interpretable Image Recognition	Slides