Figure 1: Sample scenes with 3d human poses projected onto camera views for each kitchen. The first 24 joints are equivalent to the SMPL pose [1] while joints 25 to 28 represent the head, with 24 being the nose, 25 and 26 being the eyes and 27 and 28 being the ears, similar to the OpenPose skeleton. Our dataset contains two folders, poses and scenes. Each file represents the entire motion from when a person enters the scene until they leave. As persons may enter and leave multiple times a new file is created whenever they re-enter the scene. The person can be uniquely identified by their pid while the sequence number tracks the amount of times they have re-entered the scene.

In a world where human boxers are at risk of dangerous injuries, we may have a glimpse of what the fight of the future could look like. New footage shows the world's first humanoid robot boxing tournament, which took place over the weekend in Hangzhou, east China. In the bizarre clip, two lifesize robots wearing gloves and protective headgear fight each other in a ring as a human officiator looks on. Each fighter robot weighs about 35kg and is 4.3ft (132cm) tall – roughly the height of the average eight-year-old child. Both the bots initially have trouble seeing exactly where their opponent is before successfully trading punches and kicks, to the delight of a baying crowd.

The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs performance saturation, intractable computation and the non-causal problem. This can be attributed to their inherent inability to perceive spatial context as plain 2D joint coordinates carry no visual cues. To address this issue, we propose a straightforward yet powerful solution: leveraging the readily available intermediate visual representations produced by off-the-shelf (pre-trained) 2D pose detectors - no finetuning on the 3D task is even needed. The key observation is that, while the pose detector learns to localize 2D joints, such representations (e.g., feature maps) implicitly encode the joint-centric spatial context thanks to the regional operations in backbone networks. We design a simple baseline named Context-Aware PoseFormer to showcase its effectiveness. Without access to any temporal information, the proposed method significantly outperforms its context-agnostic counterpart, PoseFormer [74], and other state-of-the-art methods using up to hundreds of video frames regarding both speed and precision.

Breakthroughs, discoveries, and DIY tips sent every weekday. After decades of being tortured, shoved, kicked, burned, and bludgeoned, robots are finally getting their chance to fight back. This weekend, Chinese robotics maker Unitree says it will livestream the world's first boxing match between two of its humanoid robots. The event, titled Unitree Iron Fist King: Awakening, will feature a face-off between two of Unitree's 4.3-foot-tall G1 robots. The robots will reportedly be remotely controlled by human engineers, though they are also expected to demonstrate some autonomous, pre-programmed actions as well.

In a sprawling warehouse in a Shanghai suburb, dozens of humanoid robots are maneuvered by their operators to carry out tasks like folding a T-shirt, making a sandwich and opening doors, over and over again. Operating 17 hours a day, the site's goal is to generate reams of data that its owner, Chinese humanoid startup AgiBot, uses to train robots it hopes will become ubiquitous and change the way humans live, work and play. "Just imagine that one day in our own robot factory, our robots are assembling themselves," said Yao Maoqing, a partner at AgiBot.

Footage reportedly shot at an undisclosed Chinese factory appears to show a robot violently "lashing out" at workers in a clip that's since gone viral. The security camera video shows a robot, which resembles a Unitree H1, initially sitting dormant as it hangs from a crane-like mechanism. Two men are seen conversing in its vicinity. Suddenly, the robot begins flailing its limbs around as the men attempt to get out of its way. It appears to knock a computer monitor, among other objects, to the floor during its rampage.

Bryan Johnson is on a mission to not die. The 47-year-old multimillionaire has already applied his slogan "Don't Die" to events, merchandise, and a Netflix documentary. Now he's founding a Don't Die religion. Johnson, who famously spends millions of dollars on scans, tests, supplements, and a lifestyle routine designed to slow or reverse the aging process, has enjoyed extensive media coverage, and a huge social media following. For many people, he has become the face of the longevity field.