1 citations · 1 across the 4 of their papers we have counts for
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Sparse Multiview Open-Vocabulary 3D Detection
Olivier Moliner, Viktor Larsson, Kalle Åström
The ability to interpret and comprehend a 3D scene is essential for many vision and robotics systems. In numerous applications, this involves 3D object detection, i.e.~identifying…
Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction
Olivier Moliner, Sangxia Huang, Kalle Åström
We address the challenges in estimating 3D human poses from multiple views under occlusion and with limited overlapping views. We approach multi-view, single-person 3D human pose r…
LidarCLIP or: How I Learned to Talk to Point Clouds
Georg Hess, Adam Tonderski, Christoffer Petersson +2
Research connecting text and images has recently seen several breakthroughs, with models like CLIP, DALL-E 2, and Stable Diffusion. However, the connection between text and other v…
Future Object Detection with Spatiotemporal Transformers
Adam Tonderski, Joakim Johnander, Christoffer Petersson +1
We propose the task Future Object Detection, in which the goal is to predict the bounding boxes for all visible objects in a future video frame. While this task involves recognizin…