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Found 6 papers, 1 papers with code
Recognizing Multimodal Entailment
How information is created, shared and consumed has changed rapidly in recent decades, in part thanks to new social platforms and technologies on the web.
LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization
In this paper, we present a video-based learning framework for animating personalized 3D talking faces from audio.
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
We propose a self-supervised training strategy where we only need a set of captioned images.
Cross-Domain Image Manipulation by Demonstration
In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how respective attribute manipulations affect the output of a simulation.
Towards Accurate Multi-person Pose Estimation in the Wild
Trained on COCO data alone, our final system achieves average precision of 0. 649 on the COCO test-dev set and the 0. 643 test-standard sets, outperforming the winner of the 2016 COCO keypoints challenge and other recent state-of-art.
Ranked #6 on
Keypoint Detection
on COCO test-challenge
Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras
Our approach unites a discriminative image-based joint detection method with a model-based generative motion tracking algorithm through a combined pose optimization energy.
