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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

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