most citedRethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ESAM++: Efficient Online 3D Perception on the Edge

Qin Liu, Lavisha Aggarwal, Saptarashmi Bandyopadhyay +4

Online 3D scene perception in real time is essential for robotics, AR/VR, and autonomous systems, particularly in edge computing scenarios where computational resources are limited…

cs.CV2026

TeDiO: Temporal Diagonal Optimization for Training-Free Coherent Video Diffusion

Nurislam Tursynbek, Zhiqiang Lao, Heather Yu +2

Recent text-to-video diffusion transformers generate visually compelling frames, yet still struggle with temporal coherence, often producing flickering, drifting, or unstable motio…

cs.CV2026

UnSCAR: Universal, Scalable, Controllable, and Adaptable Image Restoration

Debabrata Mandal, Soumitri Chattopadhyay, Yujie Wang +2

Universal image restoration aims to recover clean images from arbitrary real-world degradations using a single inference model. Despite significant progress, existing all-in-one re…

cs.CV2024★ 1 cited

LiVOS: Light Video Object Segmentation with Gated Linear Matching

Qin Liu, Jianfeng Wang, Zhengyuan Yang +4

Semi-supervised video object segmentation (VOS) has been largely driven by space-time memory (STM) networks, which store past frame features in a spatiotemporal memory to segment t…

cs.CV2024★ 1 cited

Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts

Qin Liu, Jaemin Cho, Mohit Bansal +1

The goal of interactive image segmentation is to delineate specific regions within an image via visual or language prompts. Low-latency and high-quality interactive segmentation wi…