Visual-Intelligence

🔥Check out this new paper on camouflaged object detection. the authors from Tsinghua University and University of California, Berkeley, proposed to simultaneously employ a group of diverse “predators” to seek out the target object. link.springer.com/article/10.100… @SpringerEng

To address the challenges of catastrophic forgetting, the authors from Shandong University proposed an integration of multi-modal graph with historical knowledge graph for continual robotic navigation. link.springer.com/article/10.100… @SpringerEng

🎉🎉🎉Visual Intelligence has achieved a Scopus Citescore of 10.9 for 2025, proudly ranking in the top 10% in three subfields: Signal Processing, #18/203, Computer Graphics and Computer-Aided Design #13/131, and Computer Vision and PR #18/183 @SpringerEng @SciOpenTUP

Prof. Yaonan Wang, an academician of the Chinese Academy of Engineering, and his team published a review in Visual Intelligence. It reviews pivotal technologies for intelligent robots. link.springer.com/article/10.100… @SpringerEng

🌟The authors from Anhui University proposed D-PETA, a novel source-free domain-adaptive framework for keypoint detection. D-PETA integrates dual-rate parameter-efficient tuning with adaptive augmentation strategies. link.springer.com/article/10.100… @SpringerEng #Keypointdetection

🔥Check out CIHM, a medical image segmentation method that combines the advantages of the Mamba and CNN architectures. link.springer.com/article/10.100… #HybridMamba #medicalimagesegmentation @SpringerEng

🔥Researchers from Beihang University and ETH Zurich conducted a systematic evaluation of Qwen3's robustness under various quantization settings. Check out the paper at: link.springer.com/article/10.100… @qin_haotong #Quantization #LLM #Modelcompression

🔥Authors from Hefei University of Technology, National University of Singapore, and Anhui University proposed a sparse multi-view image super-resolution method based on a unified spatial representation reference. link.springer.com/article/10.100… @SpringerEng

Prof. Hao Su delivered a keynote speech at China3DV 2026 on April 17. The key to next-generation technologies is developing intervenable interactions, and AI systems are capable of successfully acting in unknown physical environments. #HaoSu #ai #machineintelligence

🎉🎉🎉Visual Intelligence is now in ESCI ! A huge thank you to our authors, reviewers, and readers for your support. We are excited to reach this major milestone! CiteScoreTracker 2025 10.6 All papers since 2023 will be indexed! link.springer.com/journal/44267/…

🔥The authors from Nanjing University of Science and Technology and Institute of Automation, CAS, introduce HiCache, a hierarchical timestep-aware caching framework for accelerating Diffusion Transformers. 🔗link.springer.com/article/10.100… #Generationacceleration @SpringerEng

🔥Authors from ShanghaiTech University proposed a comprehensive dynamic Gaussian processing framework that provides a complete, end-to-end pipeline. 🔗link.springer.com/article/10.100… #3DGaussianSplatting #VolumetricVideo @SpringerEng

🔥 Check out this T2M framework! It introduces a temporal consistency-aware spatial VQ-VAE for cross-sequence temporal alignment, coupled with a masked motion transformer for text-conditioned motion generation. link.springer.com/article/10.100… @SpringerEng #T2Mgeneration

This paper proposed segment anything model for drivable area segmentation termed as DAS-SAM, a novel efficient adaption framework that fine-tunes SAM towards DAS. link.springer.com/article/10.100… #SAM @SpringerEng

Join the 1st Workshop on Generative AI for Sign Language (GenSign) at CVPR 2026 @CVPR. 🚀 Paper submissions are NOW OPEN! We welcome papers on sign language processing, human-centric generative models, datasets/benchmarks, and ethics. 📌 Proceedings track DDL: Mar 14, 2026 (AoE) 📌 Non-proceedings track DDL: Apr 4, 2026 (AoE) 🌐 genai4sl.github.io ✉️ gensign.workshop@gmail.com #CVPR2026 #Sign_language #Human_centric #Benchmarks #Workshop

🔥Check out a new method of image dehazing. The authors proposed a synergic expert modulation (SEM) mechanism to explicitly model context information. 🔗link.springer.com/article/10.100… #dehaze @SpringerEng

HDVS online! The authors present a novel framework called heterogeneous dual-branch voting supervision (HDVS), which is designed to enhance the reliability of pseudo-labels and mitigate the issues arising from pseudo-labeling. link.springer.com/article/10.100… @SpringerEng

🔥Check out this paper! It proves that SAM2 can be a strong encoder for U-shaped segmentation models. The authors proposed a simple but effective framework, termed SAM2-UNet, for versatile image segmentation. link.springer.com/article/10.100… @SpringerEng #SAM2 #UNet

🔥Check out the NavGemini, a navigation system based entirely on the newly developed multi-modal LLM, Gemini-Pro-Vision. link.springer.com/article/10.100… #Visionandlanguagenavigation #LLM #EmbodiedAI @SpringerEng

🔥Check out the first visual-guided HOI (VG-HOI) detection task for detecting unseen HOI categories using a few guidance images. link.springer.com/article/10.100… #Humanobjectinteraction #Visualguidance @SpringerEng