Although it would be helpful for applications like autonomous driving and mobile robotics, monocular estimation of metric depth in general situations has been difficult to achieve. Indoor and outdoor datasets have drastically different RGB and depth distributions, which presents a challenge. Another issue is the inherent scale ambiguity in photos caused by not knowing the…
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Over the last few years, autoregressive Transformers have brought a steady stream of breakthroughs in generative modeling. These models generate each element of a sample – the pixels of an image, the characters of a text (typically in “token” chunks), the samples of an audio waveform, and so on – by predicting one element after…
Additionally, Gaussian splatting doesn’t involve any neutral network at all. There isn’t even a small MLP, nothing “neural”, a scene is essentially just a set of points in space. This in itself is already an attention grabber. It is quite refreshing to see such a method gaining popularity in our AI-obsessed world with research companies…
In response to the challenging task of generating realistic 3D human-object interactions (HOIs) guided by textual prompts, researchers from Northeastern University, Hangzhou Dianzi University, Stability AI, and Google Research have introduced an innovative solution called HOI-Diff. The intricacies of human-object interactions in computer vision and artificial intelligence have posed a significant hurdle for synthesis tasks.…
We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA. My journey to DeepMind... Throughout my undergraduate courses at the University of Cambridge, the inability to skilfully play the game of Go…
The recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous excitement about their potential to achieve human-level intelligence. Their ability to produce remarkably coherent text and engage in dialogue after exposure to vast datasets seems to point towards flexible, general purpose reasoning skills. However, a growing chorus of…
The festive season should be a time for celebration and relaxation. Instead, small and mid-sized enterprises (SMEs) must prepare for a sudden onslaught of cyberattacks and social engineering attempts.
Cyber Threats Become More Severe During the Holidays
Cybercriminals view the holiday season as an opportunity to strike. When you’re busy with a sudden, massive…
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The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. But a major issue for them is to dive into a big pool of algorithms and find the most relevant ones.
This book (50 Algorithms Every Programmer Should Know) will help you…
LLMs have ushered in a new era of general-purpose vision systems, showcasing their prowess in processing visual inputs. This integration has led to the unification of diverse vision-language tasks through instruction tuning, marking a significant stride in the convergence of natural language understanding and visual perception.
Researchers from Johns Hopkins University, Meta, University of Toronto,…
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