Category
3,462 papers
Make some noise (MaSoN) is proposed, an end-to-end UCD framework that synthesizes diverse changes directly in the latent feature space during training, enabling diverse yet data-driven variation aligned with the target domain.
Experimental results show that this approach significantly improves 3D consistency compared to existing multi-view editing methods, and enables high-quality Gaussian splat editing with sharp details and strong fidelity to user-specified text prompts.
An unsupervised autoencoder with a Cohen-Daubechies- Feauveau (CDF 97) wavelet transform in the latent space is presented, designed to suppress for mixed Gaussian-Poisson noise while preserving essential image features.
A novel Continual Audio-Visual Segmentation (CAVS) task, aiming to continuously segment new classes guided by audio, and a Collision-based Multi-modal Rehearsal (CMR) framework, designed to address challenges of multi-modal semantic drift and co-occurrence confusion.
Reach audiences
Advertise in front of researchers, engineers, and readers.
This work proposes a novel framework, SARTM, which customizes the powerful SAM for RGB-T semantic segmentation, and introduces a Cross-Modal Knowledge Distillation (CMKD) module that effectively achieves modality adaptation while maintaining its generalization capabilities.
X-SG$^2$S is the first framework to unify 1D-to-3D watermarking and enable simultaneous multi-modal watermark embedding in 3DGS, achieving this with minimal rendering interference and zero modifications to parameters or pipelines.
DLLM-VSR is proposed, to the best of the authors' knowledge, the first Diffusion Large Language Model (DLLM)-based VSR framework, formulating transcription as iterative masked denoising with flexible-order decoding, and develops length-guided candidate decoding, which uses video duration to construct plausible transcri...
Large language models (LLMs) have shown strong abilities in writing and revising programs, yet many program-synthesis benchmarks still evaluate programs in symbolic or digital environments. We introduce compositional machine design, a physically grounded form of program synthesis where machines are written as programs...
H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world model, and introduces temporal attention routing, which restricts each instruction to its intended time interval and reduces control leakage across actions.
A scribble-conditioned residual encoder U-Net operating on four input channels: CT, PET, and a sparse scribble map for each of foreground and background, which removes tracer- and centre-specific scaling without requiring lesion labels in whole-body PET/CT segmentation.
Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from option wording, answer correlations, or language priors, so TempCloze is introduced, a video cloze benchmark for evaluating visual temporal reasoning in Video-LLMs.
Findings show that preprocessing-based multimodal fusion can leverage the diagnostic potential of existing imperfect nuclei classifiers, effectively bridging previously isolated fine-grained nuclear-level analysis with coarse-grained ViT-based patch classification.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
A Blog post by H company on Hugging Face
A Blog post by Liquid AI on Hugging Face
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
Human-Computer Interaction and Visualization
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
