Researchers derived exact solutions for how linear representations (concept directions) emerge during neural network training, a process they call abstraction. Their theory reveals that data and targe…
Ant Group's embodied-AI unit Robbyant open-sourced LingBot-Vision, a family of self-supervised Vision Transformers designed for dense spatial perception, on Hugging Face under Apache-2.0. The 1.1B-par…
Researchers from General Intuition, Kyutai, and Epic Games released MIRA, a 5-billion-parameter latent diffusion world model that generates real-time 2v2 Rocket League matches at 20 FPS on a single GP…
Ant Group's embodied AI unit, Robbyant, launched LingBot-Depth 2.0 and LingBot-Vision, claiming the models enable robots to accurately perceive transparent objects like glass and mirrors. The company …
Researchers introduced block-sparse featurizers (BSFs) to capture visual concept manifolds in neural network representations, showing that concepts are low-dimensional geometric structures rather than…
Researchers introduced MR-DiffuSR, a 3D latent diffusion framework that uses high-resolution T1w structural priors to guide super-resolution of thick-slice FLAIR MRI scans, preventing anatomical hallu…
Researchers achieved first place in the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge by combining a DINOv3 ViT-L/16 backbone with a Mask2Former decoder and inference-time aggregatio…
Researchers introduced the Overhead Wildlife Locator (OWL), a weakly supervised density-estimation framework for aerial wildlife surveys that uses point-level labels instead of costly bounding-box ann…
Researchers have developed representation-conditioned diffusion models that generate synthetic training images by conditioning on learned representations from DINOv2, DINOv3, and CLIP, achieving a 10.…
Researchers have developed STROP, a discrete visual tokenizer that learns to generate variable-length structural scene representations, determining the optimal sequence length for each image in a sing…