Saved in:
| Main Authors: | Wu, Yuheng, Gao, Xiangbo, Tau, Quang, Tu, Zhengzhong, Lee, Dongman |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.19250 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception
by: Wang, Rujia, et al.
Published: (2025)
by: Wang, Rujia, et al.
Published: (2025)
LangCoop: Collaborative Driving with Language
by: Gao, Xiangbo, et al.
Published: (2025)
by: Gao, Xiangbo, et al.
Published: (2025)
STAMP: Scalable Task And Model-agnostic Collaborative Perception
by: Gao, Xiangbo, et al.
Published: (2025)
by: Gao, Xiangbo, et al.
Published: (2025)
Localization-Guided Foreground Augmentation in Autonomous Driving
by: Yong, Jiawei, et al.
Published: (2026)
by: Yong, Jiawei, et al.
Published: (2026)
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving
by: Godbole, Mihir, et al.
Published: (2025)
by: Godbole, Mihir, et al.
Published: (2025)
Animal Identification with Independent Foreground and Background Modeling
by: Picek, Lukas, et al.
Published: (2024)
by: Picek, Lukas, et al.
Published: (2024)
VISTAv2: World Imagination for Indoor Vision-and-Language Navigation
by: Huang, Yanjia, et al.
Published: (2025)
by: Huang, Yanjia, et al.
Published: (2025)
Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation
by: Wu, Yuheng, et al.
Published: (2026)
by: Wu, Yuheng, et al.
Published: (2026)
Demystifying Foreground-Background Memorization in Diffusion Models
by: Di, Jimmy Z., et al.
Published: (2025)
by: Di, Jimmy Z., et al.
Published: (2025)
AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration
by: Gao, Xiangbo, et al.
Published: (2025)
by: Gao, Xiangbo, et al.
Published: (2025)
Trajectory-Guided Diffusion for Foreground-Preserving Background Generation in Multi-Layer Documents
by: Kang, Taewon
Published: (2026)
by: Kang, Taewon
Published: (2026)
Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features
by: Ding, Choubo, et al.
Published: (2023)
by: Ding, Choubo, et al.
Published: (2023)
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
by: Marschall, Samuel, et al.
Published: (2024)
by: Marschall, Samuel, et al.
Published: (2024)
SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving
by: Gao, Xiangbo, et al.
Published: (2025)
by: Gao, Xiangbo, et al.
Published: (2025)
Enhancing Few-Shot Out-of-Distribution Detection via the Refinement of Foreground and Background
by: Li, Tianyu, et al.
Published: (2026)
by: Li, Tianyu, et al.
Published: (2026)
Disentangling Foreground and Background for vision-Language Navigation via Online Augmentation
by: Xu, Yunbo, et al.
Published: (2025)
by: Xu, Yunbo, et al.
Published: (2025)
Disentangling Foreground and Background Motion for Enhanced Realism in Human Video Generation
by: Liu, Jinlin, et al.
Published: (2024)
by: Liu, Jinlin, et al.
Published: (2024)
Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
by: Tang, Song, et al.
Published: (2024)
by: Tang, Song, et al.
Published: (2024)
What Happens Without Background? Constructing Foreground-Only Data for Fine-Grained Tasks
by: Wang, Yuetian, et al.
Published: (2024)
by: Wang, Yuetian, et al.
Published: (2024)
LACO: Adaptive Latent Communication for Collaborative Driving
by: Chen, Tianhao, et al.
Published: (2026)
by: Chen, Tianhao, et al.
Published: (2026)
DiSa: Saliency-Aware Foreground-Background Disentangled Framework for Open-Vocabulary Semantic Segmentation
by: Yao, Zhen, et al.
Published: (2026)
by: Yao, Zhen, et al.
Published: (2026)
Development of Context-Sensitive Formulas to Obtain Constant Luminance Perception for a Foreground Object in Front of Backgrounds of Varying Luminance
by: Akleman, Ergun, et al.
Published: (2024)
by: Akleman, Ergun, et al.
Published: (2024)
EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal
by: Jo, Sanghyun, et al.
Published: (2025)
by: Jo, Sanghyun, et al.
Published: (2025)
Automated Vehicles Should be Connected with Natural Language
by: Gao, Xiangbo, et al.
Published: (2025)
by: Gao, Xiangbo, et al.
Published: (2025)
FoBa: A Foreground-Background co-Guided Method and New Benchmark for Remote Sensing Semantic Change Detection
by: Zhang, Haotian, et al.
Published: (2025)
by: Zhang, Haotian, et al.
Published: (2025)
FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement
by: Hu, Ming, et al.
Published: (2026)
by: Hu, Ming, et al.
Published: (2026)
RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation
by: Du, Yuwen, et al.
Published: (2025)
by: Du, Yuwen, et al.
Published: (2025)
Robust Foreground-Background Separation for Severely-Degraded Videos Using Convolutional Sparse Representation Modeling
by: Naganuma, Kazuki, et al.
Published: (2025)
by: Naganuma, Kazuki, et al.
Published: (2025)
Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception
by: Sielemann, Anne, et al.
Published: (2025)
by: Sielemann, Anne, et al.
Published: (2025)
ForCenNet: Foreground-Centric Network for Document Image Rectification
by: Cai, Peng, et al.
Published: (2025)
by: Cai, Peng, et al.
Published: (2025)
CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments
by: Zhou, Yang, et al.
Published: (2024)
by: Zhou, Yang, et al.
Published: (2024)
Ensemble Foreground Management for Unsupervised Object Discovery
by: Wu, Ziling, et al.
Published: (2025)
by: Wu, Ziling, et al.
Published: (2025)
PISCO: Precise Video Instance Insertion with Sparse Control
by: Gao, Xiangbo, et al.
Published: (2026)
by: Gao, Xiangbo, et al.
Published: (2026)
FOCUS: Towards Universal Foreground Segmentation
by: You, Zuyao, et al.
Published: (2025)
by: You, Zuyao, et al.
Published: (2025)
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation
by: Nauen, Tobias Christian, et al.
Published: (2025)
by: Nauen, Tobias Christian, et al.
Published: (2025)
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)
by: Xing, Shuo, et al.
Published: (2024)
SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction
by: Wu, Wei, et al.
Published: (2024)
by: Wu, Wei, et al.
Published: (2024)
How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing
by: Jin, Shutong, et al.
Published: (2023)
by: Jin, Shutong, et al.
Published: (2023)
Faster-HEAL: An Efficient and Privacy-Preserving Collaborative Perception Framework for Heterogeneous Autonomous Vehicles
by: Maleki, Armin, et al.
Published: (2026)
by: Maleki, Armin, et al.
Published: (2026)
In-Pixel Foreground and Contrast Enhancement Circuits with Customizable Mapping
by: Udoy, Md Rahatul Islam, et al.
Published: (2024)
by: Udoy, Md Rahatul Islam, et al.
Published: (2024)
Similar Items
-
CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception
by: Wang, Rujia, et al.
Published: (2025) -
LangCoop: Collaborative Driving with Language
by: Gao, Xiangbo, et al.
Published: (2025) -
STAMP: Scalable Task And Model-agnostic Collaborative Perception
by: Gao, Xiangbo, et al.
Published: (2025) -
Localization-Guided Foreground Augmentation in Autonomous Driving
by: Yong, Jiawei, et al.
Published: (2026) -
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving
by: Godbole, Mihir, et al.
Published: (2025)