COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
By Dandan Shan, Richard E. L. Higgins, David F. Fouhey. 2021
17 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Representation & Self-Supervised Learning
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jitendra Malik
- Luc Van Gool
- Kristen Grauman
- Trevor Darrell
- Abhinav Kumar Gupta
- Sanja Fidler
- Dacheng Tao
- Andrew Zisserman
In Representation & Self-Supervised Learning
- Saurabh Gupta
- Dima Damen
- Sahil Modi
- David F. Fouhey
- Shenghao Zhou
- Mohit Goyal
- Rishabh Goyal
- Sanja Fidler
Citations in the corpus
- EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations (2022, background): “Most work with segments has focused only on hands [3] or has been gathered at the few thousand scale [14, 36].”
- Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications (2022, background): “More recently, many works [1,73,4,34,36,37,58,59,61,24,50] have applied deep networks for hand or object segmentation.”
- Human Hands as Probes for Interactive Object Understanding (2021, background): “…taxonomy [15], hand keypoint and pose estimation [17], understanding gestures [18], detecting hands, their states and objects of interaction [55, 56], 3D reconstruction of the hand and the object of interaction [4, 21], or even estimating forces being applied by the hand onto the object [13].”