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Found 7 papers, 3 papers with code
Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind
As humans move around, performing their daily tasks, they are able to recall where they have positioned objects in their environment, even if these objects are currently out of sight.
The More You See in 2D, the More You Perceive in 3D
Inspired by this behavior, we introduce SAP3D, a system for 3D reconstruction and novel view synthesis from an arbitrary number of unposed images.
Humans in 4D: Reconstructing and Tracking Humans with Transformers
To analyze video, we use 3D reconstructions from HMR 2. 0 as input to a tracking system that operates in 3D.
Ranked #3 on
Pose Tracking
on PoseTrack2018
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
ABO contains product catalog images, metadata, and artist-created 3D models with complex geometries and physically-based materials that correspond to real, household objects.
Differentiable Stereopsis: Meshes from multiple views using differentiable rendering
We propose Differentiable Stereopsis, a multi-view stereo approach that reconstructs shape and texture from few input views and noisy cameras.
Shape and Viewpoint without Keypoints
We present a learning framework that learns to recover the 3D shape, pose and texture from a single image, trained on an image collection without any ground truth 3D shape, multi-view, camera viewpoints or keypoint supervision.
Identifying short-term interests from mobile app adoption pattern
With the increase in an average user's dependence on their mobile devices, the reliance on collecting his browsing history from mobile browsers has also increased.
