133 citations · 174 across the 5 of their papers we have counts for
6 papers
MoVISA: Multi-Token Reasoning for Video Object Segmentation
Ruining Zhao, Ho Kei Cheng, Alexander G Schwing
Recent advances in video object segmentation with Multimodal Large Language Model (MLLM) reasoning have demonstrated the effectiveness of using a single textual token, such as SEG,…
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations
Xuewen Tao, Mingming Ha, Xiaobo Guo +3
Multi-task learning (MTL) has been successfully used in many real-world applications, which aims to simultaneously solve multiple tasks with a single model. The general idea of mul…
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Ho Kei Cheng, Alexander G. Schwing
We present XMem, a video object segmentation architecture for long videos with unified feature memory stores inspired by the Atkinson-Shiffrin memory model. Prior work on video obj…
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
This paper presents a simple yet effective approach to modeling space-time correspondences in the context of video object segmentation. Unlike most existing approaches, we establis…
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-mask and mask propagation, allowing for higher generalizability and better performance. Trained…
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai +1
State-of-the-art semantic segmentation methods were almost exclusively trained on images within a fixed resolution range. These segmentations are inaccurate for very high-resolutio…