Search Results for author:
Found 5 papers, 3 papers with code
Object-Centric Domain Randomization for 3D Shape Reconstruction in the Wild
One of the biggest challenges in single-view 3D shape reconstruction in the wild is the scarcity of <3D shape, 2D image>-paired data from real-world environments.
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
In a joint vision-language space, a text feature (e. g., from "a photo of a dog") could effectively represent its relevant image features (e. g., from dog photos).
Ranked #1 on
Domain Generalization
on DomainNet
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers
Transformer encoder architectures have recently achieved state-of-the-art results on monocular 3D human mesh reconstruction, but they require a substantial number of parameters and expensive computations.
Ranked #3 on
3D Human Pose Estimation
on EMDB
Collaborative Transformers for Grounded Situation Recognition
To implement this idea, we propose Collaborative Glance-Gaze TransFormer (CoFormer) that consists of two modules: Glance transformer for activity classification and Gaze transformer for entity estimation.
Ranked #2 on
Situation Recognition
on imSitu
Grounded Situation Recognition with Transformers
Grounded Situation Recognition (GSR) is the task that not only classifies a salient action (verb), but also predicts entities (nouns) associated with semantic roles and their locations in the given image.
Ranked #5 on
Situation Recognition
on imSitu
