Search Results for author:
Found 14 papers, 11 papers with code
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
Monocular 3D human pose estimation (3D-HPE) is an inherently ambiguous task, as a 2D pose in an image might originate from different possible 3D poses.
WAIT: Feature Warping for Animation to Illustration video Translation using GANs
Current state-of-the-art video-to-video translation models rely on having a video sequence or a single style image to stylize an input video.
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
Assuming that images of the point clouds are available, which is common, our method relies on powerful unsupervised image features to measure the diversity of the point clouds.
Improving Sketch Colorization using Adversarial Segmentation Consistency
We leverage semantic image segmentation from a general-purpose panoptic segmentation network to generate an additional adversarial loss function.
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
We also propose three tasks: i) 3D whole-body pose lifting from 2D complete whole-body pose, ii) 3D whole-body pose lifting from 2D incomplete whole-body pose, and iii) 3D whole-body pose estimation from a single RGB image.
Ranked #2 on
3D Human Pose Estimation
on H3WB
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
We propose a simple, yet powerful approach for unsupervised object segmentation in videos.
Ranked #1 on
Unsupervised Video Object Segmentation
on SegTrack v2
(Jaccard (Mean) metric)
WiCV 2022: The Tenth Women In Computer Vision Workshop
In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2022, organized alongside the hybrid CVPR 2022 in New Orleans, Louisiana.
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
Differently, in whole-body pose estimation, the locations of fine-grained keypoints (68 on face, 21 on each hand and 3 on each foot) are estimated as well, which creates a scale variance problem that needs to be addressed.
Ranked #1 on
Facial Landmark Detection
on COCO-WholeBody
HoughNet: Integrating near and long-range evidence for visual detection
This paper presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method.
Adversarial Segmentation Loss for Sketch Colorization
Our loss function can be integrated to any baseline GAN model.
Reducing Label Noise in Anchor-Free Object Detection
In this paper, we propose a new labeling strategy aimed to reduce the label noise in anchor-free detectors.
Ranked #111 on
Object Detection
on COCO test-dev
HoughNet: Integrating near and long-range evidence for bottom-up object detection
We further validate the effectiveness of our proposal in another task, namely, "labels to photo" image generation by integrating the voting module of HoughNet to two different GAN models and showing that the accuracy is significantly improved in both cases.
Ranked #101 on
Object Detection
on COCO minival
GANILLA: Generative Adversarial Networks for Image to Illustration Translation
To address this problem, we propose a new framework for the quantitative evaluation of image-to-illustration models, where both content and style are taken into account using separate classifiers.
DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books
The style was noticeable in other characters of the same illustrator in different books as well.
