33 citations · 115 across the 11 of their papers we have counts for
12 papers
SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation
Jiaming Zhang, Shengming Cao, Rui Li +8
Preserving first-frame identity while ensuring precise motion control is a fundamental challenge in human image animation. The Image-to-Motion Binding process of the dominant Refer…
SAM 2++: Tracking Anything at Any Granularity
Jiaming Zhang, Cheng Liang, Yichun Yang +7
Due to the varying granularity of target states across different tasks, most existing trackers are tailored to a single task, which specificity limits their generalization, prevent…
Motion-Aware Generative Frame Interpolation
Guozhen Zhang, Yuhan Zhu, Yutao Cui +3
Flow-based frame interpolation methods ensure motion stability through estimated intermediate flow but often introduce severe artifacts in complex motion regions. Recent generative…
VFIMamba: Video Frame Interpolation with State Space Models
Guozhen Zhang, Chunxu Liu, Yutao Cui +3
Inter-frame modeling is pivotal in generating intermediate frames for video frame interpolation (VFI). Current approaches predominantly rely on convolution or attention-based model…
StableDrag: Stable Dragging for Point-based Image Editing
Yutao Cui, Xiaotong Zhao, Guozhen Zhang +3
Point-based image editing has attracted remarkable attention since the emergence of DragGAN. Recently, DragDiffusion further pushes forward the generative quality via adapting this…
Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation
Jiaming Zhang, Yutao Cui, Gangshan Wu +1
Current prevailing Video Object Segmentation methods follow the pipeline of extraction-then-matching, which first extracts features on current and reference frames independently, a…
MixFormerV2: Efficient Fully Transformer Tracking
Yutao Cui, Tianhui Song, Gangshan Wu +1
Transformer-based trackers have achieved strong accuracy on the standard benchmarks. However, their efficiency remains an obstacle to practical deployment on both GPU and CPU platf…
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes
Yutao Cui, Chenkai Zeng, Xiaoyu Zhao +3
Multi-object tracking in sports scenes plays a critical role in gathering players statistics, supporting further analysis, such as automatic tactical analysis. Yet existing MOT ben…
MixFormer: End-to-End Tracking with Iterative Mixed Attention
Yutao Cui, Cheng Jiang, Gangshan Wu +1
Visual object tracking often employs a multi-stage pipeline of feature extraction, target information integration, and bounding box estimation. To simplify this pipeline and unify…
MixFormer: End-to-End Tracking with Iterative Mixed Attention
Yutao Cui, Cheng Jiang, Limin Wang +1
Tracking often uses a multi-stage pipeline of feature extraction, target information integration, and bounding box estimation. To simplify this pipeline and unify the process of fe…
Target Transformed Regression for Accurate Tracking
Yutao Cui, Cheng Jiang, Limin Wang +1
Accurate tracking is still a challenging task due to appearance variations, pose and view changes, and geometric deformations of target in videos. Recent anchor-free trackers provi…
Fully Convolutional Online Tracking
Yutao Cui, Cheng Jiang, Limin Wang +1
Online learning has turned out to be effective for improving tracking performance. However, it could be simply applied for classification branch, but still remains challenging to a…