most citedTemporally Consistent Referring Video Object Segmentation with Hybrid Memory

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset

Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas +4

Leukemia is the 10th most frequently diagnosed cancer and one of the leading causes of cancer-related deaths worldwide. Realistic analysis of leukemia requires white blood cell (WB…

cs.LG2024

Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density

Peiyu Yang, Naveed Akhtar, Mubarak Shah +1

Trustworthy machine learning necessitates meticulous regulation of model reliance on non-robust features. We propose a framework to delineate and regulate such features by attribut…

cs.CV2024

Text-guided 3D Human Motion Generation with Keyframe-based Parallel Skip Transformer

Zichen Geng, Caren Han, Zeeshan Hayder +3

Text-driven human motion generation is an emerging task in animation and humanoid robot design. Existing algorithms directly generate the full sequence which is computationally exp…

cs.CV2024

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data

Aakash Kumar, Chen Chen, Ajmal Mian +2

3D detection is a critical task that enables machines to identify and locate objects in three-dimensional space. It has a broad range of applications in several fields, including a…

cs.CV2024★ 1 cited

Temporally Consistent Referring Video Object Segmentation with Hybrid Memory

Bo Miao, Mohammed Bennamoun, Yongsheng Gao +2

Referring Video Object Segmentation (R-VOS) methods face challenges in maintaining consistent object segmentation due to temporal context variability and the presence of other visu…