News
06/2024, Our works about the applications of xLSTM and Segment Anything V2 are released.
05/2024, 1 paper has been submitted to NeurIPS 2024.
05/2024, 1 paper has been accepted by ICML 2024 (Spotlight, 2% of submitted papers, 7% of accepted papers).
02/2024, 1 paper has been accepted by CVPR 2024.
04/2023, 1 journal paper has been submitted to TPAMI.
04/2023, 1 paper has been accepted by IJCAI 2023.
03/2023, 1 paper has been accepted by CVPR 2023.
03/2022, 1 paper has been accepted by CVPR 2022.
07/2021, 1 journal paper has been accepted by TNNLS 2021.
07/2021, 1 journal paper has been accepted by TIP 2021.
03/2021, 1 paper has been accepted by CVPR 2021.
12/2020, 1 paper has been accepted by AAAI 2021.
07/2020, 1 paper has been accepted by ECCV 2020.
04/2018, Second Place at NVDIA AI CITY Challenge and 1 paper has been accepted CVPR 2018 Workshop Oral.
Research
I'm interested in Large Vision-Language Models, Scene Understanding, Semantic Segmentation, Target Re-identification, Knowledge Distillation, etc. (^ students mentored by me.)
Conference Papers:
- Discrete Latent Perspective Learning for Segmentation and Detection
Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye
ICML 2024 (Spotlight, 2% of submitted papers, 7% of accepted papers)
- Llafs: When Large-Language Models Meet Few-Shot Segmentation
Lanyun Zhu^, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu
CVPR 2024
- Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation
Deyi Ji, Feng Zhao, Hongtao Lu
IJCAI 2023
- Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
CVPR 2023
- Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Deyi Ji, Haoran Wang, Mingyuan Tao, Jianqiang Huang, Xian-Sheng Hua, Hongtao Lu
CVPR 2022
- Learning Statistical Texture for Semantic Segmentation
Lanyu Zhu*^, Deyi Ji*, Shiping Zhu, Weihao Gan, Wei Wu, Junjie Yan
CVPR 2021 (Equal Contribution) | paper | code
- Context-Aware Graph Convolution Network for Target Re-identification
Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan
AAAI 2021 | paper
- Class-wise dynamic graph convolution for semantic segmentation
Hanzhe Hu^, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan
ECCV 2020 | paper
- Challenges on large scale surveillance video analysis
Weitao Feng, Deyi Ji, Yiru Wang, Shuorong Chang, Hansheng Ren, Weihao Gan
CVPR Workshop 2018 | paper | Oral Presentation
Journal Papers:
- Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark
Haoran Wang^, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan
IEEE TIP 2021
- IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection
Haoran Wang^, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan
IEEE TNNLS 2021
Services
Conference Reviewer: ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI.
Journal Reviewer: IEEE TPAMI, IJCV.