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20152026
most citedVisual Saliency Based on Multiscale Deep Features

259 citations · 665 across the 72 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

Free-MoRef: Instantly Multiplexing Context Perception Capabilities of Video-MLLMs within Single Inference

Kuo Wang, Quanlong Zheng, Junlin Xie +6

Video Multimodal Large Language Models~(Video-MLLM) have achieved remarkable advancements in video understanding tasks. However, constrained by the context length limitation in the…

cs.RO2025

Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation

Yongjie Bai, Zhouxia Wang, Yang Liu +8

Recent vision-language-action (VLA) models for multi-task robot manipulation often rely on fixed camera setups and shared visual encoders, which limit their performance under occlu…

cs.RO2025

AutoLayout: Closed-Loop Layout Synthesis via Slow-Fast Collaborative Reasoning

Weixing Chen, Dafeng Chi, Yang Liu +7

The automated generation of layouts is vital for embodied intelligence and autonomous systems, supporting applications from virtual environment construction to home robot deploymen…

cs.CV2025

3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians

Zeming Wei, Junyi Lin, Yang Liu +4

3D affordance reasoning is essential in associating human instructions with the functional regions of 3D objects, facilitating precise, task-oriented manipulations in embodied AI.…

cs.CV2025

VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction

Zijian He, Yuwei Ning, Yipeng Qin +4

Virtual Try-On (VTON) is a transformative technology in e-commerce and fashion design, enabling realistic digital visualization of clothing on individuals. In this work, we propose…

cs.CV2025

DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering

Jingzhou Luo, Yang Liu, Weixing Chen +4

3D Question Answering (3D QA) requires the model to comprehensively understand its situated 3D scene described by the text, then reason about its surrounding environment and answer…