StableDrag: Stable Dragging for Point-based Image Editing

no code implementations • 7 Mar 2024 • Yutao Cui, Xiaotong Zhao, Guozhen Zhang, Shengming Cao, Kai Ma, LiMin Wang

Point-based image editing has attracted remarkable attention since the emergence of DragGAN.

Point Tracking

Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

no code implementations • 25 Aug 2023 • Jiaming Zhang, Yutao Cui, Gangshan Wu, LiMin Wang

To overcome these issues, we propose a unified VOS framework, coined as JointFormer, for joint modeling the three elements of feature, correspondence, and a compressed memory.

Semantic Segmentation Video Object Segmentation +1

MixFormerV2: Efficient Fully Transformer Tracking

1 code implementation • NeurIPS 2023 • Yutao Cui, Tianhui Song, Gangshan Wu, LiMin Wang

Our key design is to introduce four special prediction tokens and concatenate them with the tokens from target template and search areas.

SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes

1 code implementation • ICCV 2023 • Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, LiMin Wang

We expect SportsMOT to encourage the MOT trackers to promote in both motion-based association and appearance-based association.

Multi-Object Tracking Multiple Object Tracking +1

MixFormer: End-to-End Tracking with Iterative Mixed Attention

1 code implementation • 6 Feb 2023 • Yutao Cui, Cheng Jiang, Gangshan Wu, LiMin Wang

Our core design is to utilize the flexibility of attention operations, and propose a Mixed Attention Module (MAM) for simultaneous feature extraction and target information integration.

Visual Object Tracking

MixFormer: End-to-End Tracking with Iterative Mixed Attention

1 code implementation • CVPR 2022 • Yutao Cui, Cheng Jiang, LiMin Wang, Gangshan Wu

Our core design is to utilize the flexibility of attention operations, and propose a Mixed Attention Module (MAM) for simultaneous feature extraction and target information integration.

Semi-Supervised Video Object Segmentation Visual Object Tracking

Target Transformed Regression for Accurate Tracking

1 code implementation • 1 Apr 2021 • Yutao Cui, Cheng Jiang, LiMin Wang, Gangshan Wu

Accurate tracking is still a challenging task due to appearance variations, pose and view changes, and geometric deformations of target in videos.

regression Visual Object Tracking +1

Fully Convolutional Online Tracking

2 code implementations • 15 Apr 2020 • Yutao Cui, Cheng Jiang, Li-Min Wang, Gangshan Wu

To tackle this issue, we present the fully convolutional online tracking framework, coined as FCOT, and focus on enabling online learning for both classification and regression branches by using a target filter based tracking paradigm.

Real-Time Visual Tracking regression