The Vision and Learning Seminar Series was started in 2020.
It covers topics of the cutting-edge research on applying machine learning
(or deep learning) techniques for visual recognition tasks,
including image classification, object detection, visual segmentation,
video understanding, vision-language techniques, etc.
The talks will cover well-known or recent works accepted by
prestigious conferences/journals such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, IJCV, PAMI.
Beyond the speakers from my group,
we will occasionally invite worldwide researchers to share their latest progress.
We welcome all researchers or students from BJTU to
physically or virtually attend our seminar series and hope it is helpful to their future research.
Please send an email to kunyanghan@bjtu.edu.cn if you are interested to join our seminar series.
| Date | Presenter | Affiliation | Paper or topic |
|---|---|---|---|
| Aug. 27 | Yanda Li Yuyang Yin Feng Zhu |
UTS BJTU UTS |
Paper Sharing (TBA) |
| Aug. 20 | Zhongwei Ren Weizhe Liu |
BJTU | Paper Sharing (TBA) |
| Aug. 13 | Weiqi Jin Qiqi Gong |
BJTU | Paper Sharing (TBA) |
| Aug. 6 | Siyu Jiao Mengxue Qu |
BJTU | Paper Sharing (TBA) |
| Jul. 30 | Zilin Wang Zekang Zhang |
BJTU BIT |
Paper Sharing (TBA) |
| Jul. 23 | Mengyu Wang Honguang Zhu |
BJTU | Paper Sharing (TBA) |
| Jul. 16 | Yiming Zhong Haojie Ding |
BJTU | Paper Sharing (TBA) |
| Jul. 9 | Yan Fang Qian Yang |
BJTU | Paper Sharing (TBA) |
| Jul. 2 | Yiheng Lin Xinhao Zhong |
BJTU | Paper Sharing (TBA) |
| Date | Presenter | Affiliation | Paper or topic |
|---|---|---|---|
| Jun. 25 | Jialong Sun Chenyi Zhang |
BJTU |
VanillaNet: the Power of Minimalism in Deep Learning
[pdf] Fast Segment Anything [pdf] |
| Jun. 18 | Jingxuan Xu Wenxin Chen |
BJTU |
Generic-to-Specific Distillation of Masked Autoencoders
[pdf] SOOD: Towards Semi-Supervised Oriented Object Detection [pdf] |
| May. 21 | Shifang Zhao Yihan Hu |
BJTU |
Towards Open-Vocabulary Video Instance Segmentation
[pdf] Imagic: Text-Based Real Image Editing with Diffusion Models [pdf] |
| Apr. 2 | Shifang Zhao | BJTU | Side Adapter Network for Open-Vocabulary Semantic Segmentation [pdf] |
| Mar. 19 | Hongguang Zhu | BJTU | BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models [pdf] |
| Mar. 12 | Yuyang Yin Kunyang Han |
BJTU |
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
[pdf] Enhanced Training of Query-Based Object Detection via Selective Query Recollection [pdf] |
| Mar. 5 | Yihan Hu | BJTU | High-Resolution Image Synthesis with Latent Diffusion Models [pdf] |
| Feb. 2 | Weiqi Jin | BJTU | Learning to Prompt for Vision-Language Models [pdf] |
| Jan. 15 | Chenyi Zhang | BJTU | ONMI-DIMENSIONAL DYNAMIC CONVOLUTION [pdf] |
| Jan. 8 | Mengxue Qu Jingxuan Xu |
BJTU |
Do DALL-E and Flamingo Understand Each Other?
[pdf] The Forward-Forward Algorithm: Some Preliminary Investigations [pdf] |
| Date | Presenter | Affiliation | Paper or topic |
|---|---|---|---|
| Dec. 18 | Siyu Jiao Yiheng Lin |
BJTU |
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
[pdf] The Forward-Forward Algorithm: Some Preliminary Investigations [pdf] |
| Dec. 11 | Zekang Zhang | BIT | Forget-free Continual Learning with Winning Subnetworks [pdf] |
| Dec. 4 | Yanda Li Zhongwei Ren Yuyang Yin |
UTS BJTU BJTU |
Diffusion Model
[pdf] Segmentation with diffusion [pdf] Diffusion Application on low-level vision [pdf] |
| Nov. 27 | Yan Fang Yihan Hu |
BJTU |
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
[pdf] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model [pdf] |
| Nov. 20 | Chenyi Zhang Qian Yang |
BJTU |
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
[pdf] Fine-Grained Entity Segmentation [pdf] |
| Oct. 30 | Hongguang Zhu Weiqi Jin |
BJTU |
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
[pdf] Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving [pdf] |
| Oct. 23 | Qiqi Gong Ziling Wang |
BJTU |
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
[pdf] Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation [pdf] |
| Oct. 16 | Siyu Jiao Xinhao Zhong |
BJTU |
VITA: Video Instance Segmentation via Object Token Association
[pdf] Accelerating DETR Convergence via Semantic-Aligned Matching [pdf] |
| Oct. 9 | Zhongwei Ren Feng Zhu |
BJTU UTS |
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
[pdf] Rethinking Resolution in the Context of Efficient Video Recognition [pdf] |
| Sep. 25 | Haojie Ding | BJTU | Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation [pdf] |
| Sep. 18 | Mengxue Qu Kunyang Han |
BJTU |
MILAN: Masked Image Pretraining on Language Assisted Representation
[pdf] PromptDet: Towards Open-Vocabulary Detection using Uncurated Images [pdf] |
| Jul. 10 | Mengxue Qu Qiqi Gong Zilin Wang |
BJTU |
Referring Related Tasks (CVPR22)
[pdf1] Ultra High Resolution (CVPR22) [pdf2] Domain Adaptation (CVPR22) [pdf3] |
| Jul. 3 | Hongguang Zhu Kunyang Han |
BJTU | VL Modeling Pre-training (CVPR22)
[pdf1] Open-set (CVPR22) [pdf2] |
| Jun. 26 | Zhongwei Ren Zhiyuan Fang Siyu Jiao |
BJTU BIT BJTU |
Video Segmentation (CVPR22)
[pdf1] Few-shot Segmentation (CVPR22) [pdf2] [pdf3] |
| Jun. 19 | Feng Zhu Haojie Ding |
UTS BJTU |
Instance Segmentation (CVPR22)
[pdf1] Semantic / Panoptic Segmentation (CVPR22) [pdf2] |
| Jun. 12 | Gengwei Zhang Zekang Zhang Yan Fang |
UTS BIT BJTU |
Continual Learning (CVPR22)
[pdf1]
[pdf2] Semi-supervised Learning (CVPR22) [pdf3] |
| Jun. 5 | Yanda Li Yihan Hu |
UTS BJTU |
Matting (CVPR22) [pdf1] [pdf2] |
| May. 8 | Zhiyuan Fang | BIT | Learning What Not to Segment: A New Perspective on Few-Shot Segmentation [pdf] |
| Apr. 24 | Liyuan Wang | Tsinghua | [Distinguished Lectures] Brain-inspired Continual Learning [pdf] |
| Apr. 17 | Yan Fang Zhongwei Ren |
BJTU |
Rethinking Semantic Segmentation: A Prototype View
[pdf] Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation [pdf] |
| Apr. 10 | Shiyin Zhang Qiqi Gong |
BJTU |
Focal Self-attention for Local-Global Interactions in Vision Transformers
[pdf] Revisiting Multi-scale Feature Fusion for Semantic Segmentation [pdf] |
| Mar. 27 | Yihan Hu Mengxue Qu |
BJTU |
Semantic Image Matting
[pdf] Conditional Prompt Learning for Vision-Language Models [pdf] |
| Mar. 20 | Zilin Wang Kunyang Han |
BJTU |
DAFormer: Improving Network Architectures and Training Strategies for
Domain-Adaptive Semantic Segmentation
[pdf] Revitalize Region Feature for Democratizing Video-Language Pre-training [pdf] |
| Mar. 13 | Siyu Jiao Haojie Ding |
BJTU |
Few-Shot Segmentation via Cycle-Consistent Transformer
[pdf] DN-DETR: Accelerate DETR Training by Introducing Query DeNoising [pdf] |
| Feb. 20 | Siyu Jiao Kunyang Han |
BJTU |
Few-Shot Segmentation via Cycle-Consistent Transformer
[pdf] Open-Vocabulary Image Segmentation [pdf] |
| Feb. 13 | Haojie Ding Yihan Hu |
BJTU |
K-Net: Towards Unified Image Segmentation
[pdf] Vision Transformer with Deformable Attention [pdf] |
| Jan. 23 | Shiyin Zhang Mengxue Qu |
BJTU |
Pyramid Fusion Transformer for Semantic Segmentation
[pdf] Language-Driven Semantic Segmentation [pdf] |
| Jan. 16 | Tianlong Chen | UT Austin | [Distinguished Lectures] How to be a qualified PhD? [pdf] |
| Jan. 9 | Zhongwei Ren | BJTU | Weekly Supervised Instance Segmentation for Videos with Temporal Mask Consistency [pdf] |
| Date | Presenter | Affiliation | Paper or topic |
|---|---|---|---|
| Dec. 26 | Yihan Hu Kunyang Han |
BJTU |
Robust High-Resolution Video Matting with Temporal Guidance
[pdf] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting [pdf] |
| Dec. 19 | Haojie Ding Yihang Hu |
BJTU |
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
[pdf] Associating Objects with Transformers for Video Object Segmentation [pdf] |
| Dec. 12 | Shiyin Zhang Mengxue Qu |
BJTU |
Masked-attention Mask Transformer for Universal Image Segmentation
[pdf] LAVT: Language-Aware Vision Transformer for Referring Image Segmentation [pdf] |
| Dec. 5 | Zhiyuan Fang Zekang Zhang |
BJTU |
Per-Pixel Classification is Not All You Need for Semantic Segmentation
[pdf] Prototype Augmentation and Self-Supervision for Incremental Learning [pdf] |
| Nov. 28 | Qiqi Gong Zilin Wang |
BJTU |
Continual learning in cross-modal retrieval
[pdf] Open-World Entity Segmentation [pdf] |
| Oct. 24 | Qiqi Gong Zilin Wang |
BJTU |
VL-BERT:Pretraining of Generic Visual-Linguistic Representations
[pdf] Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation [pdf] |
| Oct. 17 | Haojie Ding | BJTU | Panoptic SegFormer [pdf] |
| Sep. 26 | Zhongwei Ren Yan Fang |
BJTU |
End-to-End Video Instance Segmentation with Transformers
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency [pdf] |
| Sep. 18 | Siyu Jiao Kunyang Han |
BJTU |
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
[pdf] Emerging Properties in Self-Supervised Vision Transformers [pdf] |
| Sep. 12 | Kao Liao Yihan Hu |
BJTU |
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
[pdf] Associating Objects with Transformers for Video Object Segmentation [pdf] |
| Sep. 3 | Shiyin Zhang Mengxue Qu |
BJTU |
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
[pdf] Instances as Queries [pdf] |
| Aug. 27 | Zeikang Zhang Zhiyuan Fang |
BIT |
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
[pdf] SOTR: Segmenting Objects with Transformers [pdf] |
| Aug. 20 | Qiqi Gong Zilin Wang |
BJTU |
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
[pdf] SSH: A Self-Supervised Framework for Image Harmonization |
| Aug. 13 | Zhongwei Ren | BJTU | OpenMMLab Architecture [pdf] |
| Aug. 6 | Xin Wang | BJTU | On Data-Augmentation and Consistency-based SSL [pdf] |
| Aug. 30 | Shiyin Zhang Mengxue Qu |
BJTU | Per-Pixel Classification is Not All You Need for Semantic Segmentation [pdf] End-to-End Vision-Language Pre-training Enhanced by Visual Learning [pdf] |
| Jul. 23 | Zhiyuan Fang Zekang Zhang |
BIT | Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation [pdf] Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length [pdf] |
| Jul. 16 | Kang Liao Shiyin Zhang |
BJTU | TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations [pdf] Lite-HRNet: A Lightweight High-Resolution Network [pdf] |
| Jul. 9 | Siyu Jiao Qiqi Gong |
BJTU | SegFix: Model-Agnostic Boundary Refinement for Segmentation [pdf] PointRend: Image Segmentation as Rendering [pdf] |
| Jul. 2 | Mengxue Qu Kunyang Han |
BJTU | Swin-Transformer [pdf] Aligning Pretraining for Detection via Object-Level Contrastive Learning [pdf] |
| Jun. 18 | Zhiyuan Fang Zekang Zhang |
BIT | Hypercorrelation Squeeze for Few-Shot Segmenation[pdf] Semi-Supervised Semantic Segmentation with Cross Pseudo[pdf] |
| Jun. 11 | Kang Liao Qiqi Gong |
BJTU | Positional Encoding as Spatial Inductive Bias in GANs [Upload Soon] Rethinking BiSeNet for Real-time Semantic Segmentation [pdf] |
| Jun. 4 | Siyu Jiao Kunyang Han |
BJTU | Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection [pdf]
Cross-Dataset Collaborative Learning for Semantic Segmentation [pdf] |
| May. 28 | Shiyin Zhang Mengxue Qu |
BJTU | Repurposing GANs for One-shot Semantic Part Segmentation [pdf]
Improve Vision Transformer Training by Suppressing Over-smoothing [pdf] |
| May. 14 | Zhiyuan Fang Zekang Zhang |
BIT | Few-shot Learning [pdf] |
| May. 7 | Kunyang Han | BJTU | Self-Supervised Learning [pdf] |
| Apr. 17 | Mengxue Qu | BJTU | Transformer [pdf] |
| Apr. 10 | Siyu Jiao | BJTU | Video object segmentation [pdf] |
| Mar. 27 | Qiqi Gong | BJTU | One stage object detection [pdf] |
| Feb. 20 | Shiyin Zhang | BJTU | Interactive object segmentation [pdf] |
| Feb. 06 | Guoliang Kang | CMU | Domain Adaptive Semantic Segmentation and Object Recognition [pdf] |
| Jan. 30 | Kunyang Han | BJTU | Deep Image/Video Matting [pdf] |
| Jan. 23 | Siyu Jiao | BJTU | Panoptic Segmentation Networks [pdf] |
| Jan. 16 | Qiqi Gong | BJTU | Detection Networks [pdf] |
| Jan. 09 | Mengxue Qu | BJTU | Referring Segmentation Networks [pdf] |
| Date | Presenter | Affiliation | Paper or topic |
|---|---|---|---|
| Dec. 19 | Kunyang Han | BJTU | Instance Segmentation Networks [pdf] |
| Dec. 12 | Shiyin Zhang | BJTU | Classification Networks [pdf] |
| Nov. 28 | Tao Ruan | BJTU | Programming at Deep Learning Field [pdf] |
| Oct. 23 | Siyu Jiao | BJTU | Sematic Segmentation Networks [pdf] |
| Oct. 09 | Qiqi Gong | BJTU | Basic Knowledge about Computer Vision [pdf] |
| Sep. 25 | Kunyang Han | BJTU | Basic Layers in Deep Learning [pdf] |
| Sep. 18 | Zhedong Zheng | UTS | Person Re-ID and Building Re-ID [pdf] |
| Sep. 11 | Mengxue Qu | BJTU | Popular Datasets in Computer Vision [pdf] |
| Sep. 04 | Xiaolin Zhang | UTS | Weakly Supervised Object Localization [pdf] |
| Aug. 28 | Shiyin Zhang | BJTU | Interactive Object Segmentation with Inside-Outside Guidance [pdf] |