Concerns with enabling computers to interpret and understand visual inputs, such as images and videos.
The article presents a novel method, CLAIR, for evaluating machine-generated image captions. This method leverages large language models to assess the captions’ quality. The study found that CLAIR correlates more…
Continue readingThis research paper reveals that Large Language Models (LLMs), despite being trained solely on textual data, are surprisingly effective encoders for purely visual tasks. This is achieved by using a…
Continue readingThis work is about a self-supervised method, FSD, for recognizing 3D objects from a single RGB-D image. It aims to predict the 3D shape, size, and 6D pose of objects,…
Continue readingThe paper presents an intriguing phenomenon – the successful reconstruction of images using a set of one-way wave equations with hidden and learnable speeds. Each image corresponds to a unique…
Continue readingThe article presents HumanTOMATO, a framework for generating whole-body motion from textual descriptions. Traditional models often ignore the importance of fine-grained control over hands and face in creating realistic motion,…
Continue readingThe article introduces Cutie, a video object segmentation (VOS) network that employs object-level memory reading for better results. Unlike previous VOS systems that use bottom-up pixel-level memory reading, Cutie uses…
Continue readingThe article revisits the transferable adversarial examples, which are a significant security concern in real-world, black-box attack scenarios. The authors identify two main problems in common evaluation practices: lack of…
Continue readingThe research introduces a novel LiDAR perception task of Occupancy Completion and Forecasting (OCF) in the field of autonomous driving. This task merges scene completion and forecasting into a unified…
Continue readingThis study focuses on the application of artificial intelligence and drone technology in wildlife detection. It reviews and conducts an empirical study on drone-based wildlife detection, collecting a dataset of…
Continue readingThe paper proposes a novel navigation framework for vision-and-language navigation (VLN) in real-world scenarios. Traditional VLN methods are mainly evaluated in simulations, which often overlook the complexities of the real…
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