output
20152026
most citedPiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

51 citations

15 papers

physics.comp-ph2026

A unified sharp-diffusive phase-field model for bulk and interfacial cohesive fracture

Ye-Hang Qin, Ye Feng

In traditional phase-field modeling of multiphase materials, a significant challenge arises from the non-local nature of fracture energy regularization, where interfacial toughness…

cs.RO2025

M3ET: Efficient Vision-Language Learning for Robotics based on Multimodal Mamba-Enhanced Transformer

Yanxin Zhang, Liang He, Zeyi Kang +2

In recent years, multimodal learning has become essential in robotic vision and information fusion, especially for understanding human behavior in complex environments. However, cu…

cond-mat.mtrl-sci2025★ 1 cited

Hydrogen Bond Strength Dictates the Rate-Limiting Steps of Diffusion in Proton-Conducting Perovskites:A Critical Length Perspective

Hang Ma, Jiajun Linghu, Nannan Han +6

Identifying the rate-limiting step of proton migration in proton-conducting oxides is essential for assessing and regulating proton conductivity. Proton migration based on the Grot…

cs.SD2025★ 2 cited

Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought

Zhixian Zhao, Xinfa Zhu, Xinsheng Wang +4

Large-scale audio language models (ALMs), such as Qwen2-Audio, are capable of comprehending diverse audio signal, performing audio analysis and generating textual responses. Howeve…

cs.CV2024★ 6 cited

Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding

Xianqiang Gao, Pingrui Zhang, Delin Qu +4

3D Object Affordance Grounding aims to predict the functional regions on a 3D object and has laid the foundation for a wide range of applications in robotics. Recent advances tackl…

eess.IV2021★ 6 cited

Deep Anti-aliasing of Whole Focal Stack Using Slice Spectrum

Yaning Li, Xue Wang, Hao Zhu +2

The paper aims at removing the aliasing effects of the whole focal stack generated from a sparse-sampled {4D} light field, while keeping the consistency across all the focal layers…

cs.CV2020

Shape retrieval of non-rigid 3d human models

David Pickup, Xianfang Sun, Paul L Rosin +28

3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend…

cs.CV2018★ 1 cited

Dense Multimodal Fusion for Hierarchically Joint Representation

Di Hu, Feiping Nie, Xuelong Li

Multiple modalities can provide more valuable information than single one by describing the same contents in various ways. Hence, it is highly expected to learn effective joint rep…

cs.DB2018

Gradual Machine Learning for Entity Resolution

Boyi Hou, Qun Chen, Yanyan Wang +2

Usually considered as a classification problem, entity resolution (ER) can be very challenging on real data due to the prevalence of dirty values. The state-of-the-art solutions fo…

cs.CL2018★ 4 cited

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

Jingjing Xu, Xuancheng Ren, Yi Zhang +3

Narrative story generation is a challenging problem because it demands the generated sentences with tight semantic connections, which has not been well studied by most existing gen…

physics.optics2018★ 3 cited

Extraordinary second harmonic generation in ReS2 atomic crystals

Yu Song, Siqi Hu, Miao-Ling Lin +3

We report the observations of unexpected layer-dependent, strong, and anisotropic second harmonic generations (SHGs) in atomically thin ReS2. Appreciable (negligible) SHGs are obta…

cs.LG2017★ 13 cited

Disentangled Variational Auto-Encoder for Semi-supervised Learning

Yang Li, Quan Pan, Suhang Wang +3

Semi-supervised learning is attracting increasing attention due to the fact that datasets of many domains lack enough labeled data. Variational Auto-Encoder (VAE), in particular, h…

cs.CV2017★ 51 cited

PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

Nian Liu, Junwei Han, Ming-Hsuan Yang

Contexts play an important role in the saliency detection task. However, given a context region, not all contextual information is helpful for the final task. In this paper, we pro…

cs.DC2016

Distributed Private Online Learning for Social Big Data Computing over Data Center Networks

Chencheng Li, Pan Zhou, Yingxue Zhou +3

With the rapid growth of Internet technologies, cloud computing and social networks have become ubiquitous. An increasing number of people participate in social networks and massiv…

physics.med-ph2015

Image Reconstruction Image reconstruction by using local inverse for full field of view

Kang Yang, Kevin Yang, Xintie Yang +1

The iterative refinement method (IRM) has been very successfully applied in many different fields for examples the modern quantum chemical calculation and CT image reconstruction.…