Computer Vision

Researchers have developed PaGeR, a framework that adapts existing 3D foundation models designed for perspective images to reconstruct full 360-degree scenes from single panoramic images. The model predicts scale-invaria…

Researchers have developed RadarSim, a unified differentiable renderer that uses multimodal neural fields to generate high-resolution Doppler radar range images by leveraging camera data. The system addresses the low spa…

Researchers have developed E³C, a video generation framework that creates egocentric footage by separating persistent 3D scene structure from human-driven dynamics using point cloud-based memory and appearance descriptor…

Researchers have developed Evi-Steer, a new framework for BiomedCLIP that enables uncertainty-aware fine-tuning of biomedical vision-language models by updating only 0.11% of total parameters. The method uses evidential …

A new study benchmarked twelve deep learning architectures across four model families—convolutional neural networks, vision transformers, hybrid CNN-transformer backbones, and vision-language models—for multi-disease ret…

Researchers introduced LongAV-Compass, a benchmark for evaluating minute-long audio-visual generation across text, image, and video conditioning modalities. The benchmark contains 284 test cases and assesses over 20 fine…

Researchers have developed UniMVU, a unified multimodal video understanding framework that uses instruction-aware gating to dynamically balance the importance of different input modalities like video, audio, and depth ma…

Researchers introduced MM-CreativityBench, a new benchmark designed to test whether large multimodal models can solve open-ended, physically grounded problems by repurposing objects in non-obvious ways. The study found t…

Researchers have developed POLAR, a multimodal memory-augmented framework that enables embodied AI agents to personalize assistance over long-term user interactions by organizing prior experiences into a knowledge graph.…

Researchers have developed a neural rule evaluator that detects anomalies by identifying violations of logical constraints, even when such violations are absent from training data. The system compiles rules into directed…

A unified evaluation of twelve deep learning models for binary skin cancer detection on the PAD-UFES-20 dataset found that well-tuned CNNs provide strong baselines, but transformer-based families consistently improve dis…

Researchers have developed VesselSim, a two-stage framework for 3D blood vessel segmentation that eliminates the need for expert annotations during training by generating 16,500 synthetic angiographic volumes. The system…

Researchers have developed a new emotion representation method called Dimensional Distribution Emotion State (DDES) to help museum curators predict the emotional responses artworks will evoke in visitors. The approach us…

Researchers have released RoMo, a large-scale dataset of in-the-wild human motions curated to overcome the limitations of existing small, high-fidelity motion capture and low-quality collections. The dataset employs a ta…

Researchers have developed Geometry-Aware Representation Denoising (GARD), a framework that uses diffusion-based restoration within a feed-forward 3D reconstruction model's feature space to improve multi-view 3D reconstr…

Researchers have developed DecoupleGen, a method that uses personalized text-to-image diffusion models to generate training images of objects in uncommon contexts, such as a beach ball on a road. The approach aims to cor…

Human Archive has raised $8.2 million from Wing Venture Capital, NVP Capital, Y Combinator, and angel investors from OpenAI, Nvidia, Google, and Meta to deploy head-mounted and wrist-mounted cameras on workers in residen…

Pixal3D, a new image-to-3D AI model, focuses on preserving pixel-level alignment between a source image and the generated 3D asset, addressing common fidelity issues where models lose shape or detail. Developers can inte…

New Zealand Health Minister Simeon Brown announced the government has begun procurement and testing of an artificial intelligence tool to assist in reading breast screening mammograms, with a planned rollout from early 2…

Human Archive, a company backed by $8.2 million from investors including Wing Venture Capital and Y Combinator, is deploying head-mounted cameras on workers in India to collect first-person video data for training AI mod…