Humans in 4D: Reconstructing and Tracking Humans with Transformers

1 code implementation • ICCV 2023 • Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik

To analyze video, we use 3D reconstructions from HMR 2. 0 as input to a tracking system that operates in 3D.

3D Human Pose Estimation Action Recognition +2

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

1 code implementation • CVPR 2022 • Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik

ABO contains product catalog images, metadata, and artist-created 3D models with complex geometries and physically-based materials that correspond to real, household objects.

3D Reconstruction Metric Learning +2

Differentiable Stereopsis: Meshes from multiple views using differentiable rendering

1 code implementation • CVPR 2022 • Shubham Goel, Georgia Gkioxari, Jitendra Malik

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

no code implementations • ECCV 2020 • Shubham Goel, Angjoo Kanazawa, Jitendra Malik

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

no code implementations • 25 Apr 2019 • Bharat Gaind, Nitish Varshney, Shubham Goel, Akash Mondal

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.