Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...
The year 2025 was a pretty important one for the AI industry, with new AI models, apps, and tools being introduced.
Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...
In our interactive feature on small spaces, we showcased storage tips and lighting strategies through immersive 3D animations ...
Google on Thursday introduced a new AI experiment for the web browser: the Gemini-powered product Disco, which helps to turn your open tabs into custom applications. With Disco, you can create what ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
[2024/12] Code release: Inferece, Diffusion sampling, Pretrained model. [2024/10] DifFUSER is presented at ECCV 2024. [2024/07] DifFUSER is accepted by ECCV 2024. This repository contains the official ...
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